Shyam Visweswaran

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 67

Top Venues

AMIA

CoRR

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Fengyi Gao, Xingyu Zhang, Sonish Sivarajkumar, Parker E. Denny, Bayan M. Aldhahwani, Shyam Visweswaran, Ryan Shi, William Hogan, Allyn Bove, Yanshan Wang
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning. CoRR (2024)
David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang
Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. CoRR (2024)
Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William R. Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang
Clinical Information Retrieval: A Literature Review. J. Heal. Informatics Res. 8 (2) (2024)
Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang
A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. CoRR (2024)
Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. CoRR (2024)
Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images. CoRR (2023)
David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang
ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. Int. J. Medical Informatics 177 (2023)
Amir I. Mina, Jeremy U. Espino, Allison M. Bradley, Parthasarathy Thirumala, Kayhan Batmanghelich, Shyam Visweswaran
Time-Series Aware Metrics for the Evaluation of Intraoperative Electroencephalography-Based Ischemia Detection. MedInfo (2023)
David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang
ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research. CoRR (2023)
Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics 139 (2023)
Bryan Andrews, Chirayu Wongchokprasitti, Shyam Visweswaran, Chirag M. Lakhani, Chirag J. Patel, Gregory F. Cooper
A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease. Artif. Intell. Medicine 139 (2023)
Shyam Visweswaran, Yuan Luo, Mor Peleg
Special issue on fairness and inclusion in biomedical informatics research: technical and social perspectives. J. Biomed. Informatics 141 (2023)
Stephen W. Shaffran, Fengyi Gao, Parker E. Denny, Bayan M. Aldhahwani, Allyn Bove, Shyam Visweswaran, Yanshan Wang
Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques. CoRR (2023)
Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti, Shyam Visweswaran, Yanshan Wang
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing. CoRR (2023)
Jeffrey G. Klann, Darren W. Henderson, Michele Morris, Hossein Estiri, Griffin M. Weber, Shyam Visweswaran, Shawn N. Murphy
A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. J. Am. Medical Informatics Assoc. 30 (12) (2023)
Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022)
Haneef Ahamed Mohammad, Sonish Sivarajkumar, Samual Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang
Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. CoRR (2022)
Emily R. Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura Wiley, David A. Williams, Adrian H. Zai
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J. Am. Medical Informatics Assoc. 29 (4) (2022)
Christopher A. Harle, Daniella Meeker, Shyam Visweswaran, Thomas R. Campion Jr., Boyd M. Knosp
Delivering Real World Patient Data for Clinical and Translational Research: Approaches from Four Institutions. AMIA (2022)
Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich
Hyperbolic Molecular Representation Learning for Drug Repositioning. CoRR (2022)
Shyam Visweswaran, Brian McLay, Nickie Cappella, Michele Morris, John T. Milnes, Steven E. Reis, Jonathan C. Silverstein, Michael J. Becich
An atomic approach to the design and implementation of a research data warehouse. J. Am. Medical Informatics Assoc. 29 (4) (2022)
Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134 (2022)
Chenyu Li, Israel Dilan-Pantojas, Shyam Visweswaran, Michael J. Becich, Xia Jiang, Richard D. Boyce
Developing and Evaluation of Computational Phenotypes of Metastatic Breast Cancer Using All of Us Data. AMIA (2022)
Griffin M. Weber, Chuan Hong, Zongqi Xia, Nathan P. Palmer, Paul Avillach, Sehi L'Yi, Mark S. Keller, Shawn N. Murphy, Alba Gutiérrez-Sacristán, Clara-Lea Bonzel, Arnaud Serret-Larmande, Antoine Neuraz, Gilbert S. Omenn, Shyam Visweswaran, Jeffrey G. Klann, Andrew M. South, Ne-Hooi Will Loh, Mario Cannataro, Brett K. Beaulieu-Jones, Riccardo Bellazzi, Giuseppe Agapito, Mario Alessiani, Bruce J. Aronow, Douglas S. Bell, Vincent Benoit, Florence T. Bourgeois, Luca Chiovato, Kelly Cho, Arianna Dagliati, Scott L. DuVall, Noelia García-Barrio, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Richard W. Issitt, Molei Liu, Yuan Luo, Kristine E. Lynch, Sarah Maidlow, Alberto Malovini, Kenneth D. Mandl, Chengsheng Mao, Michael E. Matheny, Jason H. Moore, Jeffrey S. Morris, Michele Morris, Danielle L. Mowery, Kee Yuan Ngiam, Lav P. Patel, Miguel Pedrera-Jiménez, Rachel B. Ramoni, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Anastasia Spiridou, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Carlo Torti, Enrico M. Trecarichi, Xuan Wang, James R. Aaron, Adem Albayrak, Giuseppe Albi, Anna Alloni, Danilo F. Amendola, François Angoulvant, Anthony L. L. J. Li, Fatima Ashraf, Andrew Atz, Paul Avillach, Paula S. Azevedo, James Balshi, Brett K. Beaulieu-Jones, Antonio Bellasi, Vincent Benoit, Michele Beraghi, José Luis Bernal-Sobrino, Mélodie Bernaux, Romain Bey, Surbhi Bhatnagar, Alvar Javier Blanco-Martínez, Martin Boeker, John Booth, Silvano Bosari, Robert L. Bradford, Gabriel A. Brat, Stéphane Bréant, Nicholas W. Brown, Raffaele Bruno, William A. Bryant, Mauro Bucalo, Emily Bucholz, Anita Burgun, Tianxi Cai, Aldo Carmona, Charlotte Caucheteux, Julien Champ, Krista Y. Chen, Jin Chen, Lorenzo Chiudinelli, Kelly Cho, James J. Cimino, Tiago K. Colicchio, Sylvie Cormont, Sébastien Cossin, Jean B. Craig, Juan Luis Cruz-Bermúdez, Jaime Cruz-Rojo, Mohamad Daniar, Christel Daniel, Priyam Das, Batsal Devkota, Audrey Dionne, Rui Duan, Julien Dubiel, Loic Esteve, Hossein Estiri, Shirley Fan, Robert W. Follett, Thomas Ganslandt, Noelia García-Barrio, Lana X. Garmire, Nils Gehlenborg, Emily J. Getzen, Alon Geva, Tobias Gradinger, Alexandre Gramfort, Romain Griffier, Nicolas Griffon, Olivier Grisel, Alba Gutiérrez-Sacristán, Larry Han, David A. Hanauer, Christian Haverkamp, Derek Y. Hazard, Bing He, Darren W. Henderson, Martin Hilka, Kenneth M. Huling, Meghan R. Hutch, Richard W. Issitt, Anne-Sophie Jannot, Vianney Jouhet, Ramakanth Kavuluru, Chris J. Kennedy, Kate F. Kernan, Daniel A. Key, Katie Kirchoff, Jeffrey G. Klann, Isaac S. Kohane, Ian D. Krantz, Detlef Kraska, Ashok K. Krishnamurthy, Trang T. Le, Judith Leblanc, Guillaume Lemaitre, Leslie Lenert, Damien Leprovost, Molei Liu, Qi Long, Sara Lozano-Zahonero, Sadiqa Mahmood, Sarah Maidlow, Adeline Makoudjou, Anupama Maram, Patricia Martel, Marcelo R. Martins, Jayson S. Marwaha, Aaron J. Masino, Maria Mazzitelli, Arthur Mensch, Marianna Milano, Marcos F. Minicucci, Bertrand Moal, Taha Mohseni Ahooyi, Jason H. Moore, Cinta Moraleda, Jeffrey S. Morris, Karyn L. Moshal, Sajad Mousavi, Douglas A. Murad, Shawn N. Murphy, Thomas Naughton, Carlos Tadeu Breda Neto, Jane Newburger, Kee Yuan Ngiam, Wanjiku F. M. Njoroge, James B. Norman, Jihad Obeid, Marina P. Okoshi, Karen L. Olson, Gilbert S. Omenn, Nina Orlova, Brian Ostasiewski, Nathan P. Palmer, Nicolas Paris, Lav P. Patel, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Rachel B. Ramoni, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Amelia L. M. Tan, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Shyam Visweswaran, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Griffin M. Weber, Martin Wolkewitz, Scott Wong, Zongqi Xia, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco, Isaac S. Kohane, Tianxi Cai, Gabriel A. Brat
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 5 (2022)
Shawn N. Murphy, Shyam Visweswaran, Michael J. Becich, Thomas R. Campion Jr., Boyd M. Knosp, Genevieve Melton-Meaux, Leslie A. Lenert
Research data warehouse best practices: catalyzing national data sharing through informatics innovation. J. Am. Medical Informatics Assoc. 29 (4) (2022)
Lorne W. Walker, Andrew J. Nowalk, Shyam Visweswaran
Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection. J. Am. Medical Informatics Assoc. 28 (4) (2021)
Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J. Am. Medical Informatics Assoc. 28 (7) (2021)
Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran
Patient-Specific Modeling with Lazy Random Forest (LazyRF). AMIA (2021)
Jordan R. Hill, Shyam Visweswaran, Xia Ning, Titus K. Schleyer
Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review. Appl. Clin. Inform. 12 (3) (2021)
Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Philip R. O. Payne, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B. Wilcox, Andrew E. Williams, Chunlei Wu, Clair Blacketer, Robert L. Bradford, James J. Cimino, Marshall Clark, Evan W. Colmenares, Patricia A. Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S. Hong, George Hripcsak, Dazhi Jiao, Jeffrey G. Klann, Kristin Kostka, Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Ken R. Gersing
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J. Am. Medical Informatics Assoc. 28 (3) (2021)
Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel, Shyam Visweswaran
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Eric V. Strobl, Shyam Visweswaran
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. CD@KDD (2021)
Eddie Pérez Claudio, Shyam Visweswaran, Harry Hochheiser
Comparison of Population-wide Explanations for Predicting the Outcomes of Patients with Community-Acquired Pneumonia. AMIA (2021)
Mohammadamin Tajgardoon, Shyam Visweswaran
Using Distribution Divergence to Predict Changes in the Performance of Clinical Predictive Models. AIME (2021)
Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran
A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction. MedInfo (2021)
Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space. CoRR (2020)
Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser
Graphical Presentations of Clinical Data in a Learning Electronic Medical Record. Appl. Clin. Inform. 11 (04) (2020)
Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich
Semi-supervised Hierarchical Drug Embedding in Hyperbolic Space. J. Chem. Inf. Model. 60 (12) (2020)
Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran
Patient-Specific Modeling with Personalized Decision Paths. AMIA (2020)
Karthik Natarajan, Robert J. Carroll, Thomas R. Campion Jr., Joan Grand, Shyam Visweswaran
Curating EHR data in the All of Us Research Program. AMIA (2019)
Gaurav Trivedi, Esmaeel R. Dadashzadeh, Robert M. Handzel, Wendy W. Chapman, Shyam Visweswaran, Harry Hochheiser
Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports. Appl. Clin. Inform. 10 (04) (2019)
Gaurav Trivedi, Charmgil Hong, Esmaeel R. Dadashzadeh, Robert M. Handzel, Harry Hochheiser, Shyam Visweswaran
Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods. Int. J. Medical Informatics 129 (2019)
Andrew J. King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Milos Hauskrecht, Dean F. Sittig, Shyam Visweswaran
Using machine learning to selectively highlight patient information. J. Biomed. Informatics 100 (2019)
Suresh K. Bhavnani, Shyam Visweswaran, Erich Kummerfeld, Carlos Clark, Rebekah Penton
Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science? AMIA (2019)
Jessica D. Tenenbaum, Krithika Bhuvaneshwar, Jane P. Gagliardi, Kate Fultz Hollis, Peilin Jia, Liang Ma, Radhakrishnan Nagarajan, Gopalkumar Rakesh, Vignesh Subbian, Shyam Visweswaran, Zhongming Zhao, Leon Rozenblit
Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. Briefings Bioinform. 20 (3) (2019)
Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper
An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning. BIBM (2019)
Eric V. Strobl, Shyam Visweswaran
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. CoRR (2019)
Eric V. Strobl, Peter L. Spirtes, Shyam Visweswaran
Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Andrew J. King, Shyam Visweswaran, Harry Hochheiser, Gilles Clermont, Gregory F. Cooper
Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning. AMIA (2019)
Yu Zhang, Michele Morris, Shyam Visweswaran
A Computable Phenotype Library Plugin for i2b2. AMIA (2018)
Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper
Instance-Specific Bayesian Network Structure Learning. PGM (2018)
Eric V. Strobl, Shyam Visweswaran, Peter L. Spirtes
Fast causal inference with non-random missingness by test-wise deletion. Int. J. Data Sci. Anal. 6 (1) (2018)
José D. Posada, Lingyun Shi, Sergio M. Castro, Shyam Visweswaran, Neal D. Ryan, Henk Harkema, Rich Tsui
Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning. AMIA (2018)
Charles D. Borromeo, Bill Shirey, Michele Morris, Yu Zhang, Malarkodi Samayamuthu, Shyam Visweswaran
Workflow for Developing i2b2 Ontologies from Source Terminologies in ACT. AMIA (2018)
Gaurav Trivedi, Robert M. Handzel, Shyam Visweswaran, Wendy W. Chapman, Harry Hochheiser
An Interactive NLP Tool for Signout Note Preparation. ICHI (2018)
Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA (2018)
Charles D. Borromeo, Bill Shirey, Nickie Cappella, Shyam Visweswaran, Jonathan C. Silverstein, Michael J. Becich
Software Package to Load Data from REDCap to PCORnet CDM 4.0. AMIA (2018)
Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser
Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices. AMIA (2018)
Suresh K. Bhavnani, Revathi Sellappan, Saurabh Joshi, Jonathan Starkey, Winston Chan, Tianlong Chen, Shyam Visweswaran
Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine. AMIA (2018)
Jonathan L. Lustgarten, Jeya Balaji Balasubramanian, Shyam Visweswaran, Vanathi Gopalakrishnan
Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure. Data 2 (1) (2017)
Suresh K. Bhavnani, Archana Ayyaswami, Tianlong Chen, Shyam Visweswaran, Gowtham Bellala, Kevin E. Bassler
Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine. AMIA (2017)
Adam Culbertson, Satyender Goel, Margaret B. Madden, Niloufar Safaeinili, Kathryn L. Jackson, Thomas Carton, Russ Waitman, Mei Liu, Ashok Krishnamurthy, Lauren Hall, Nickie Cappella, Shyam Visweswaran, Michael J. Becich, Reuben J. Applegate, Elmer V. Bernstam, Russell Rothman, Michael E. Matheny, Gloria P. Lipori, Jiang Bian, William R. Hogan, Douglas S. Bell, Andrew Martin, Shaun J. Grannis, Jeffrey G. Klann, Rebecca Sutphen, Amy O'hara, Abel N. Kho
The Building Blocks of Inter-operability. Appl. Clin. Inform. 8 (02) (2017)
Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser
Exploring Novel Graphical Representations of Clinical Data in a Learning EMR. AMIA (2017)
Sergio M. Castro, Eugene Tseytlin, Olga Medvedeva, Kevin J. Mitchell, Shyam Visweswaran, Tanja Bekhuis, Rebecca S. Jacobson
Automated annotation and classification of BI-RADS assessment from radiology reports. J. Biomed. Informatics 69 (2017)
Andrew J. King, Harry Hochheiser, Shyam Visweswaran, Gilles Clermont, Gregory F. Cooper
Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. CRI (2017)
Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont
Outlier-based detection of unusual patient-management actions: An ICU study. J. Biomed. Informatics 64 (2016)
Jessica D. Tenenbaum, Paul Avillach, Marge M. Benham-Hutchins, Matthew K. Breitenstein, Erin L. Crowgey, Mark A. Hoffman, Xia Jiang, Subha Madhavan, John E. Mattison, Radhakrishnan Nagarajan, Bisakha Ray, Dmitriy Shin, Shyam Visweswaran, Zhongming Zhao, Robert R. Freimuth
An informatics research agenda to support precision medicine: seven key areas. J. Am. Medical Informatics Assoc. 23 (4) (2016)
Henry Ogoe, Shyam Visweswaran, Xinghua Lu, Vanathi Gopalakrishnan
Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data. BMC Bioinform. 16 (2015)
Arturo López Pineda, Ye Ye, Shyam Visweswaran, Gregory F. Cooper, Michael M. Wagner, Fuchiang (Rich) Tsui
Comparison of machine learning classifiers for influenza detection from emergency department free-text reports. J. Biomed. Informatics 58 (2015)
Guilherme Alberto Sousa Ribeiro, Alexandre César Muniz de Oliveira, Antonio Luiz S. Ferreira, Shyam Visweswaran, Gregory F. Cooper
Patient-Specific Modeling of Medical Data. MLDM (2015)
Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Shyam Visweswaran
Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. AMIA (2015)
Charalampos S. Floudas, Nara Um, M. Kamboh, M. Michael Barmada, Shyam Visweswaran
Identifying genetic interactions associated with late-onset Alzheimer's disease. BioData Min. 7 (2014)
Shyam Visweswaran, Gregory F. Cooper
Counting Markov Blanket Structures. CoRR (2014)
Rick Jordan, Shyam Visweswaran, Vanathi Gopalakrishnan
Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids. J. Clin. Bioinform. 4 (2014)
Eric V. Strobl, Shyam Visweswaran
Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data. CoRR (2014)
Eric V. Strobl, Shyam Visweswaran
Markov Blanket Ranking using Kernel-based Conditional Dependence Measures. CoRR (2014)
Eric V. Strobl, Shyam Visweswaran
Deep Multiple Kernel Learning. ICMLA (1) (2013)
Eric V. Strobl, Shyam Visweswaran
Deep Multiple Kernel Learning. CoRR (2013)
Antonio Luiz S. Ferreira, Gregory F. Cooper, Shyam Visweswaran
Decision Path Models for Patient-Specific Modeling of Patient Outcomes. AMIA (2013)
Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
Conditional Outlier Approach for Detection of Unusual Patient Care Actions. AAAI (Late-Breaking Developments) (2013)
Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
Data-driven identification of unusual clinical actions in the ICU. AMIA (2013)
Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
Outlier detection for patient monitoring and alerting. J. Biomed. Informatics 46 (1) (2013)
Matthew E. Stokes, Shyam Visweswaran
Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease. BioData Min. 5 (2012)
Danielle L. Mowery, Janyce Wiebe, Shyam Visweswaran, Henk Harkema, Wendy Webber Chapman
Building an automated SOAP classifier for emergency department reports. J. Biomed. Informatics 45 (1) (2012)
Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper
A multivariate probabilistic method for comparing two clinical datasets. IHI (2012)
Suresh K. Bhavnani, Gowtham Bellala, Sundar Victor, Kevin E. Bassler, Shyam Visweswaran
The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers. J. Am. Medical Informatics Assoc. 19 (e1) (2012)
Matthew E. Stokes, Shyam Visweswaran
Network Label Propagation Yields Reproducible Biomarker SNPs in Alzheimer's Datasets. AMIA (2012)
Wei Wei, Shyam Visweswaran, Gregory F. Cooper
The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data. J. Am. Medical Informatics Assoc. 18 (4) (2011)
Xia Jiang, Richard E. Neapolitan, M. Michael Barmada, Shyam Visweswaran
Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinform. 12 (2011)
Sandra L. Kane-Gill, Shyam Visweswaran, Melissa I. Saul, An-Kwok Ian Wong, Louis E. Penrod, Steven M. Handler
Computerized detection of adverse drug reactions in the medical intensive care unit. Int. J. Medical Informatics 80 (8) (2011)
Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, Gregory F. Cooper
Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinform. 12 (2011)
Shyam Visweswaran, Derek C. Angus, Margaret Hsieh, Lisa A. Weissfeld, Donald Yealy, Gregory F. Cooper
Learning patient-specific predictive models from clinical data. J. Biomed. Informatics 43 (5) (2010)
Vanathi Gopalakrishnan, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper
Bayesian rule learning for biomedical data mining. Bioinform. 26 (5) (2010)
Shyam Visweswaran, Gregory F. Cooper
Learning Instance-Specific Predictive Models. J. Mach. Learn. Res. 11 (2010)
Jonathan L. Lustgarten, Shyam Visweswaran, Robert P. Bowser, William R. Hogan, Vanathi Gopalakrishnan
Knowledge-based variable selection for learning rules from proteomic data. BMC Bioinform. 10 (S-9) (2009)
Shyam Visweswaran, An-Kwok Ian Wong, M. Michael Barmada
A Bayesian Method for Identifying Genetic Interactions. AMIA (2009)
Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Shyam Visweswaran
Measuring Stability of Feature Selection in Biomedical Datasets. AMIA (2009)
Shuguang Wang, Shyam Visweswaran, Milos Hauskrecht
Document Retrieval using a Probabilistic Knowledge Model. KDIR (2009)
Jonathan L. Lustgarten, Shyam Visweswaran, Himanshu Grover, Vanathi Gopalakrishnan
An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. BIOCOMP (2008)
Himanshu Grover, Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan
Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. BCBGC (2008)

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Shyam Visweswaran