Joel T. Dudley

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 37

Top Topics

Electronic Health Records

Causal Inference

Top Venues

Briefings Bioinform.

Publications

Ramya Dhatri Vunikili, Benjamin S. Glicksberg, Kipp W. Johnson, Joel T. Dudley, Lakshminarayanan Subramanian, Khader Shameer
Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients. Frontiers Artif. Intell. 4 (2021)
Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. Patterns 2 (9) (2021)
Hao-Chih Lee, Osamu Ichikawa, Benjamin S. Glicksberg, Aparna A. Divaraniya, Christine E. Becker, Pankaj Agarwal, Joel T. Dudley
Identification of therapeutic targets from genetic association studies using hierarchical component analysis. BioData Min. 13 (1) (2020)
Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley
Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks. PSB (2020)
Maxence Vandromme, Tomi Jun, Ponni Perumalswami, Joel T. Dudley, Andrea Branch, Li Li
Automated Phenotyping of Patients with Non-Alcoholic Fatty Liver Disease Reveals Clinically RelevantDisease Subtypes. PSB (2020)
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
Deep representation learning of electronic health records to unlock patient stratification at scale. npj Digit. Medicine 3 (2020)
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale. CoRR (2020)
Fayzan F. Chaudhry, Matteo Danieletto, Eddye Golden, Jerome Scelza, Greg Botwin, Mark M. Shervey, Jessica K. De Freitas, Ishan Paranjpe, Girish N. Nadkarni, Riccardo Miotto, Patricia Glowe, Greg Stock, Bethany Percha, Noah Zimmerman, Joel T. Dudley, Benjamin S. Glicksberg
Sleep in the Natural Environment: A Pilot Study. Sensors 20 (5) (2020)
Andrew C. Liu, Krishna Patel, Ramya Dhatri Vunikili, Kipp W. Johnson, Fahad Abdu, Shivani Kamath Belman, Benjamin S. Glicksberg, Pratyush Tandale, Roberto Fontanez, Oommen K. Mathew, Andrew Kasarskis, Priyabrata Mukherjee, Lakshminarayanan Subramanian, Joel T. Dudley, Khader Shameer
Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses. Briefings Bioinform. 21 (4) (2020)
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Bethany Percha, Thomas M. Snyder, Joel T. Dudley
Deep learning predicts hip fracture using confounding patient and healthcare variables. npj Digit. Medicine 2 (2019)
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. CoRR (2019)
Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley
Scaling structural learning with NO-BEARS to infer causal transcriptome networks. CoRR (2019)
Kipp W. Johnson, Jessica K. De Freitas, Benjamin S. Glicksberg, Jason R. Bobe, Joel T. Dudley
Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables. PSB (2019)
Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley
Enhancing high-content imaging for studying microtubule networks at large-scale. CoRR (2019)
Marcus A. Badgeley, Manway Liu, Benjamin S. Glicksberg, Mark M. Shervey, John R. Zech, Khader Shameer, Joseph Lehar, Eric K. Oermann, Michael V. McConnell, Thomas M. Snyder, Joel T. Dudley
CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis. Bioinform. 35 (9) (2019)
Benjamin S. Glicksberg, Boris Oskotsky, Phyllis M. Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson, Debajyoti Datta, Vivek A Rudrapatna, Nadav Rappoport, Mark M. Shervey, Riccardo Miotto, Theodore C. Goldstein, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35 (21) (2019)
Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley
Enhancing high-content imaging for studying microtubule networks at large-scale. MLHC (2019)
Khader Shameer, M. Mercedes Perez-Rodriguez, Roy Bachar, Li Li, Amy Johnson, Kipp W. Johnson, Benjamin S. Glicksberg, Milo R. Smith, Ben Readhead, Joseph Scarpa, Jebakumar Jebakaran, Patricia A. Kovatch, Sabina Lim, Wayne K. Goodman, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Joel T. Dudley
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining. BMC Medical Informatics Decis. Mak. 18 (S-3) (2018)
Kipp W. Johnson, Benjamin S. Glicksberg, Rachel Hodos, Khader Shameer, Joel T. Dudley
Causal inference on electronic health records to assess blood pressure treatment targets: An application of the parametric g formula. PSB (2018)
Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley
Automated disease cohort selection using word embeddings from Electronic Health Records. PSB (2018)
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Beth Percha, Thomas M. Snyder, Joel T. Dudley
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables. CoRR (2018)
Mary Regina Boland, Pradipta Parhi, Li Li, Riccardo Miotto, Robert J. Carroll, Usman Iqbal, Phung-Anh (Alex) Nguyen, Martijn J. Schuemie, Seng Chan You, Donahue Smith, Sean Mooney, Patrick B. Ryan, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti
Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Milo R. Smith, Benjamin S. Glicksberg, Li Li, Rong Chen, Hirofumi Morishita, Joel T. Dudley
Loss-of-function of neuroplasticity-related genes confers risk for human neurodevelopmental disorders. PSB (2018)
Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley
Deep learning for healthcare: review, opportunities and challenges. Briefings Bioinform. 19 (6) (2018)
Riccardo Miotto, Matteo Danieletto, Jerome R. Scelza, Brian A. Kidd, Joel T. Dudley
Reflecting health: smart mirrors for personalized medicine. npj Digit. Medicine 1 (2018)
Khader Shameer, Benjamin S. Glicksberg, Rachel Hodos, Kipp W. Johnson, Marcus A. Badgeley, Ben Readhead, Max S. Tomlinson, Timothy O'Connor, Riccardo Miotto, Brian A. Kidd, Rong Chen, Avi Ma'ayan, Joel T. Dudley
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. Briefings Bioinform. 19 (4) (2018)
Hao-Chih Lee, Roman Kosoy, Christine E. Becker, Joel T. Dudley, Brian A. Kidd
Automated cell type discovery and classification through knowledge transfer. Bioinform. 33 (11) (2017)
Khader Shameer, Kipp W. Johnson, Alexandre Yahi, Riccardo Miotto, Li Li, Doran Ricks, Jebakumar Jebakaran, Patricia A. Kovatch, Partho P. Sengupta, Annetine Gelijns, Alan Moskovitz, Bruce Darrow, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Deborah F. Pinney, Joel T. Dudley
Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. PSB (2017)
Khader Shameer, Marcus A. Badgeley, Riccardo Miotto, Benjamin S. Glicksberg, Joseph W. Morgan, Joel T. Dudley
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams. Briefings Bioinform. 18 (1) (2017)
Zichen Wang, Li Li, Benjamin S. Glicksberg, Ariel Israel, Joel T. Dudley, Avi Ma'ayan
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age. J. Biomed. Informatics 76 (2017)
Ariella Cohain, Aparna A. Divaraniya, Kuixi Zhu, Joseph R. Scarpa, Andrew Kasarskis, Jun Zhu, Rui Chang, Joel T. Dudley, Eric E. Schadt
Exploring the Reproducibility of Probabilistic Causal Molecular Network Models>. PSB (2017)
Matteo Danieletto, Li Li, Joel T. Dudley
Application of I-COMO device towards geographic disease enrichment pattern revealed from electronic medical record at a large Urban academic medical center. PervasiveHealth (2017)
Benjamin S. Glicksberg, Li Li, Marcus A. Badgeley, Khader Shameer, Roman Kosoy, Noam D. Beckmann, Nam Pho, Jörg Hakenberg, Meng Ma, Kristin L. Ayers, Gabriel E. Hoffman, Shuyu Dan Li, Eric E. Schadt, Chirag J. Patel, Rong Chen, Joel T. Dudley
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks. Bioinform. 32 (12) (2016)
Riccardo Miotto, Li Li, Joel T. Dudley
Deep Learning to Predict Patient Future Diseases from the Electronic Health Records. ECIR (2016)
Khader Shameer, Lokesh P. Tripathi, Krishna R. Kalari, Joel T. Dudley, Ramanathan Sowdhamini
Interpreting functional effects of coding variants: challenges in proteome-scale prediction, annotation and assessment. Briefings Bioinform. 17 (5) (2016)
Benjamin S. Glicksberg, Li Li, Wei-Yi Cheng, Khader Shameer, Jörg Hakenberg, Rafael Castellanos, Meng Ma, Lisong Shi, Hardik Shah, Joel T. Dudley, Rong Chen
An Integrative Pipeline for Multi-Modal Discovery of Disease Relationships. Pacific Symposium on Biocomputing (2015)
Joel T. Dudley, Jennifer Listgarten, Oliver Stegle, Steven E. Brenner, Leopold Parts
Session introduction. Pacific Symposium on Biocomputing (2015)
Konrad J. Karczewski, Robert P. Tirrell, Pablo Cordero, Nicholas P. Tatonetti, Joel T. Dudley, Keyan Salari, Michael Snyder, Russ B. Altman, Stuart K. Kim
Interpretome: A Freely Available, Modular, and Secure Personal Genome Interpretation Engine. Pacific Symposium on Biocomputing (2012)
David Ruau, Michael Mbagwu, Joel T. Dudley, Vijay Krishnan, Atul J. Butte
Comparison of automated and human assignment of MeSH terms on publicly-available molecular datasets. J. Biomed. Informatics 44 (Supplement-1) (2011)