Tina Hernandez-Boussard

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 49

Top Topics

Machine Learning

Natural Language Processing

Prostate Cancer

Top Venues

J. Am. Medical Informatics Assoc.

Int. J. Medical Informatics

Frontiers Digit. Health

Publications

Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records. CoRR (2024)
Anne De Hond, Marieke M. van Buchem, Claudio Fanconi, Mohana Roy, Douglas W. Blayney, Ilse M. J. Kant, Ewout W. Steyerberg, Tina Hernandez-Boussard
Predicting Depression Risk in Patients with Cancer Using Multimodal Data. MIE (2023)
Oualid El Hajouji, Ran Sun, Alban Zammit, Keith Humphreys, Steven M. Asch, Ian Carroll, Catherine M. Curtin, Tina Hernandez-Boussard
Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring. PLoS Comput. Biol. 19 (8) (2023)
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, Priya Khandelwal, Tina Hernandez-Boussard, Andrew J. Gentles, Olivier Gevaert
Multimodal data fusion for cancer biomarker discovery with deep learning. Nat. Mac. Intell. 5 (4) (2023)
Anne A. H. de Hond, Vaibhavi B. Shah, Ilse M. J. Kant, Ben Van Calster, Ewout W. Steyerberg, Tina Hernandez-Boussard
Perspectives on validation of clinical predictive algorithms. npj Digit. Medicine 6 (2023)
Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss
Censored Fairness through Awareness. AAAI (2023)
Selen Bozkurt, Christopher J. Magnani, Martin G. Seneviratne, James D. Brooks, Tina Hernandez-Boussard
Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage. Frontiers Digit. Health 4 (2022)
Eric A. Stahlberg, Mohamed Abdel-Rahman, Boris Aguilar, Alireza Asadpoure, Robert A. Beckman, Lynn L. Borkon, Jeffrey N. Bryan, Colleen M. Cebulla, Young Hwan Chang, Ansu Chatterjee, Jun Deng, Sepideh Dolatshahi, Olivier Gevaert, Emily J. Greenspan, Wenrui Hao, Tina Hernandez-Boussard, Pamela R. Jackson, Marieke Kuijjer, Adrian Lee, Paul Macklin, Subha Madhavan, Matthew D. McCoy, Navid Mohammad Mirzaei, Talayeh Razzaghi, Heber L. Rocha, Leili Shahriyari, Ilya Shmulevich, Daniel G. Stover, Yi Sun, Tanveer Syeda-Mahmood, Jinhua Wang, Qi Wang, Ioannis K. Zervantonakis
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. Frontiers Digit. Health 4 (2022)
Juan Antonio Lossio-Ventura, Ran Sun, Sebastien Boussard, Tina Hernandez-Boussard
Clinical concept recognition: Evaluation of existing systems on EHRs. Frontiers Artif. Intell. 5 (2022)
Juan Antonio Lossio-Ventura, Wenyu Song, Michael Sainlaire, Patricia C. Dykes, Tina Hernandez-Boussard
Opioid2MME: Standardizing opioid prescriptions to morphine milligram equivalents from electronic health records. Int. J. Medical Informatics 162 (2022)
Claudio Fanconi, Marieke van Buchem, Tina Hernandez-Boussard
Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes. CoRR (2022)
Curtis P. Langlotz, Thomas Wang, Tina Hernandez-Boussard, Irene Dankwa-Mullan
Implications of Data As a Public Good: Charting a Path Toward Diagnostic Excellence. AMIA (2022)
Marieke M. van Buchem, Hamza El Mosor, Jean Coquet, Tina Hernandez-Boussard
Using Reddit to detect suicidal ideation from patient emails. AMIA (2022)
Sophia Y. Wang, Justin Huang, Hannah Hwang, Wendeng Hu, Shiqi Tao, Tina Hernandez-Boussard
Leveraging weak supervision to perform named entity recognition in electronic health records progress notes to identify the ophthalmology exam. Int. J. Medical Informatics 167 (2022)
Alban Zammit, Tina Hernandez-Boussard, Jean Coquet, Ashish Sarraju, Fátima Rodríguez
Using Deep Learning-based Natural Language Processing to Identify Reasons for Statin Non-Adherence in Patients with Atherosclerotic Cardiovascular Disease. AMIA (2022)
Jean Coquet, Alban Zammit, Oualid El Hajouji, Keith Humphreys, Steven M. Asch, Thomas F. Osborne, Catherine M. Curtin, Tina Hernandez-Boussard
Changes in postoperative opioid prescribing across three diverse healthcare systems, 2010-2020. Frontiers Digit. Health 4 (2022)
Arlene Bierman, Helen Burstin, Tina Hernandez-Boussard, Maia Hightower, Nikhil Mull
The Impact of Algorithms on Racial and Ethnic Disparities in Health and Healthcare. AMIA (2022)
Behzad Naderalvojoud, Anne A. H. de Hond, Alessandro Shapiro, Jean Coquet, Tina Seto, Tina Hernandez-Boussard
Predicting Prolonged Opioid Use Following Surgery Using Machine Learning: Challenges and Outcomes. AMIA (2022)
Anne A H. de Hond, Marieke M. van Buchem, Tina Hernandez-Boussard
Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI. J. Am. Medical Informatics Assoc. 29 (12) (2022)
Eliane Röösli, Brian Rice, Tina Hernandez-Boussard
Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19. J. Am. Medical Informatics Assoc. 28 (1) (2021)
Harris Carmichael, Jean Coquet, Ran Sun, Shengtian Sang, Danielle Groat, Steven M. Asch, Joseph Bledsoe, Ithan D. Peltan, Jason R. Jacobs, Tina Hernandez-Boussard
Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study. J. Biomed. Informatics 119 (2021)
Tina Hernandez-Boussard, Matthew P. Lungren, Nigam Shah
Corrigendum: Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions. J. Am. Medical Informatics Assoc. 28 (7) (2021)
Sophia Y. Wang, Benjamin Tseng, Tina Hernandez-Boussard
Development and evaluation of novel ophthalmology domain-specific neural word embeddings to predict visual prognosis. Int. J. Medical Informatics 150 (2021)
Selen Bozkurt, Tina Hernandez-Boussard
Expanding the secondary use of prostate cancer real world data: Automated Classifiers for Clinical and Pathological Stage. AMIA (2021)
Juan Antonio Lossio-Ventura, Sergio Gonzales, Juandiego Morzan, Hugo Alatrista-Salas, Tina Hernandez-Boussard, Jiang Bian
Evaluation of clustering and topic modeling methods over health-related tweets and emails. Artif. Intell. Medicine 117 (2021)
Ran Sun, Douglas W. Blayney, Tina Hernandez-Boussard
Health management via telemedicine: Learning from the COVID-19 experience. J. Am. Medical Informatics Assoc. 28 (11) (2021)
Tina Hernandez-Boussard, Matthew P. Lundgren, Nigam Shah
Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Azadeh Shoaibi, Hui-Lee Wong, Christian Reich, Keran Moll, Tina Hernandez-Boussard
The Food and Drug Administration (FDA) Center for Biologics Evaluation and Research (CBER) Biologics Effectiveness and Safety (BEST) Initiative: How Informatics Can Assist the Secondary Use of Electronic Health Records to Inform Regulatory Decisions. AMIA (2020)
Yingjie Weng, Lu Tian, Dario Tedesco, Karishma Desai, Steven M. Asch, Ian Carroll, Catherine Curtin, Kathryn M. McDonald, Tina Hernandez-Boussard
Trajectory analysis for postoperative pain using electronic health records: A nonparametric method with robust linear regression and K-medians cluster analysis. Health Informatics J. 26 (2) (2020)
Tina Hernandez-Boussard, Selen Bozkurt, John P. A. Ioannidis, Nigam H. Shah
MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Sophia Y. Wang, Suzann Pershing, Elaine Tran, Tina Hernandez-Boussard
Automated extraction of ophthalmic surgery outcomes from the electronic health record. Int. J. Medical Informatics 133 (2020)
Selen Bozkurt, Eli M. Cahan, Martin G. Seneviratne, Ran Sun, Juan Antonio Lossio-Ventura, John P. A. Ioannidis, Tina Hernandez-Boussard
Reporting of demographic data and representativeness in machine learning models using electronic health records. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Selen Bozkurt, Amee D. Azad, Melih Yilmaz, James D. Brooks, Douglas W. Blayney, Tina Hernandez-Boussard
Distinct Clusters of Patient reported outcome (PRO) trajectories among oncology patients receiving chemotherapy. AMIA (2020)
Robin C. Vanderpool, April Oh, Roxanne E. Jensen, Urmimala Sarkar, Tina Hernandez-Boussard
Navigating the National Cancer Institute Grants Process: A Primer for Informatics Researchers. AMIA (2020)
Tina Hernandez-Boussard, Juan Antonio Lossio-Ventura, Ania Syrowatka, Wenyu Song, Patricia C. Dykes
Standardizing Opioid Prescriptions across Systems: Challenges, Strengths, and Opportunities. AMIA (2020)
Jean Coquet, Selen Bozkurt, Kathleen M. Kan, Michelle Ferrari, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard
Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients. J. Biomed. Informatics 94 (2019)
Juan Antonio Lossio-Ventura, Sebastien Boussard, Juandiego Morzan, Tina Hernandez-Boussard
Clinical named-entity recognition: A short comparison. BIBM (2019)
Juan Antonio Lossio-Ventura, Juandiego Morzan, Hugo Alatrista-Salas, Tina Hernandez-Boussard, Jiang Bian
Clustering and topic modeling over tweets: A comparison over a health dataset. BIBM (2019)
Sophia Y. Wang, Tina Hernandez-Boussard, Robert T. Chang, Suzann Pershing
Understanding Patient Attitudes Toward Multifocal Intraocular Lenses in Online Medical Forums Through Sentiment Analysis. MedInfo (2019)
Martin G. Seneviratne, Michael G. Kahn, Tina Hernandez-Boussard
Merging heterogeneous clinical data to enable knowledge discovery. PSB (2019)
Eli M. Cahan, Tina Hernandez-Boussard, Sonoo Thadaney Israni, Daniel L. Rubin
Putting the data before the algorithm in big data addressing personalized healthcare. npj Digit. Medicine 2 (2019)
Tina Hernandez-Boussard, Keri L. Monda, Blai Coll Crespo, Dan Riskin
Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Raphael Lenain, Martin G. Seneviratne, Selen Bozkurt, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard
Machine Learning Approaches for Extracting Stage from Pathology Reports in Prostate Cancer. MedInfo (2019)
Martin G. Seneviratne, Juan M. Banda, James D. Brooks, Nigam Shah, Tina Hernandez-Boussard
Identifying cases of metastatic prostate cancer using machine learning on electronic health records. AMIA (2018)
Sophia Y. Wang, Suzann Pershing, Tina Hernandez-Boussard
A Pipeline to Measure Ophthalmic Surgery Outcomes from the Electronic Health Record. AMIA (2018)
Selen Bozkurt, Jung Park In, Kathleen Mary Kan, Michelle Ferrari, Daniel L. Rubin, James D. Brooks, Tina Hernandez-Boussard
An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing. AMIA (2018)
Tina Hernandez-Boussard, Panayotis Kourdis, Wen-wai Yim, Rajendra Dulal, Douglas W. Blayney, James D. Brooks
Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate cancer Treatment. AMIA (2017)
Wen-wai Yim, Dario Tedesco, Catherine Curtin, Tina Hernandez-Boussard
Annotation of pain and anesthesia events for surgery-related processes and outcomes extraction. BioNLP (2017)
Tina Hernandez-Boussard, Catherine Curtin, Doug Morrision, Swati Yanamadala, Katherine McDonald
Impact of Electronic Health Records on Quality of Care: Evidence on Inpatient Mortality, Readmissions, and Complications. AMIA (2015)
Tina Hernandez-Boussard, Michelle Whirl Carrillo, Joan M. Hebert, Li Gong, Ryan Owen, Mei Gong, Winston Gor, Feng Liu, Chuong Truong, Ryan Whaley, Mark Woon, Tina Zhou, Russ B. Altman, Teri E. Klein
The pharmacogenetics and pharmacogenomics knowledge base: accentuating the knowledge. Nucleic Acids Res. 36 (Database-Issue) (2008)
Janos Demeter, Catherine Beauheim, Jeremy Gollub, Tina Hernandez-Boussard, Heng Jin, Donald Maier, John C. Matese, Michael Nitzberg, Farrell Wymore, Zachariah K. Zachariah, Patrick O. Brown, Gavin Sherlock, Catherine A. Ball
The Stanford Microarray Database: implementation of new analysis tools and open source release of software. Nucleic Acids Res. 35 (Database-Issue) (2007)
Catherine A. Ball, Ihab A. B. Awad, Janos Demeter, Jeremy Gollub, Joan M. Hebert, Tina Hernandez-Boussard, Heng Jin, John C. Matese, Michael Nitzberg, Farrell Wymore, Zachariah K. Zachariah, Patrick O. Brown, Gavin Sherlock
The Stanford Microarray Database accommodates additional microarray platforms and data formats. Nucleic Acids Res. 33 (Database-Issue) (2005)
Ihab A. B. Awad, Christian A. Rees, Tina Hernandez-Boussard, Catherine A. Ball, Gavin Sherlock
Caryoscope: An Open Source Java application for viewing microarray data in a genomic context. BMC Bioinform. 5 (2004)
Maximilian Diehn, Gavin Sherlock, Gail Binkley, Heng Jin, John C. Matese, Tina Hernandez-Boussard, Christian A. Rees, J. Michael Cherry, David Botstein, Patrick O. Brown, Ash A. Alizadeh
SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data. Nucleic Acids Res. 31 (1) (2003)
Jeremy Gollub, Catherine A. Ball, Gail Binkley, Janos Demeter, David B. Finkelstein, Joan M. Hebert, Tina Hernandez-Boussard, Heng Jin, Miroslava Kaloper, John C. Matese, Mark Schroeder, Patrick O. Brown, David Botstein, Gavin Sherlock
The Stanford Microarray Database: data access and quality assessment tools. Nucleic Acids Res. 31 (1) (2003)
Gavin Sherlock, Tina Hernandez-Boussard, Andrew Kasarskis, Gail Binkley, John C. Matese, Selina S. Dwight, Miroslava Kaloper, Shuai Weng, Heng Jin, Catherine A. Ball, Michael B. Eisen, Paul T. Spellman, Patrick O. Brown, David Botstein, J. Michael Cherry
The Stanford Microarray Database. Nucleic Acids Res. 29 (1) (2001)