Benjamin S. Glicksberg

70 papers A 1B 1Misc 9Journal 53Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A scalable framework for benchmark embedding models in semantic health-care tasks.
J. Am. Medical Informatics Assoc.
Shelly Soffer, Mahmud Omar, Moran Gendler, Benjamin S. Glicksberg, Patricia H. Kovatch, Orly Efros, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang
2025 J jnl
Benefits, limits, and risks of ChatGPT in medicine.
Frontiers Artif. Intell.
Jonathan A. Tangsrivimol, Erfan Darzidehkalani, Hafeez Ul Hassan Virk, Zhen Wang, Jan Egger, Michelle Wang, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Chayakrit Krittanawong
2025 J jnl
DeepSeek vs. ChatGPT: prospects and challenges.
Frontiers Artif. Intell.
Inhye Jin, Jonathan A. Tangsrivimol, Erfan Darzi, Hafeez Ul Hassan Virk, Zhen Wang, Jan Egger, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Chayakrit Krittanawong
2025 J jnl
Generating credible referenced medical research: A comparative study of openAI's GPT-4 and Google's gemini.
Comput. Biol. Medicine
Mahmud Omar, Saleh Nassar, Kareem Hijazi, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang
2025 J jnl
Large language models in real-world clinical workflows: a systematic review of applications and implementation.
Frontiers Digit. Health
Yaara Artsi, Vera Sorin, Benjamin S. Glicksberg, Panagiotis Korfiatis, Girish N. Nadkarni, Eyal Klang
2025 J jnl
Refining LLMs outputs with iterative consensus ensemble (ICE).
Comput. Biol. Medicine
Mahmud Omar, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang
2025 J jnl
Socio-Demographic Modifiers Shape Large Language Models' Ethical Decisions.
J. Heal. Informatics Res.
Vera Sorin, Panagiotis Korfiatis, Jeremy D. Collins, Donald Apakama, Mahmud Omar, Benjamin S. Glicksberg, Mei-Ean Yeow, Megan Brandeland, Girish N. Nadkarni, Eyal Klang
2025 J jnl
Toward governance of artificial intelligence in pediatric healthcare.
npj Digit. Medicine
Felix Richter, Emma Holmes, Florian Richter, Katherine Guttmann, Son Q. Duong, Sandeep Gangadharan, Eric E. Schadt, Hojjat Salmasian, Bruce D. Gelb, Benjamin S. Glicksberg
2024 J jnl
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19.
Artif. Intell. Medicine
Wonsuk Oh, Pushkala Jayaraman, Pranai Tandon, Udit S. Chaddha, Patricia H. Kovatch, Alexander W. Charney, Benjamin S. Glicksberg, Girish N. Nadkarni
2024 J jnl
A strategy for cost-effective large language model use at health system-scale.
npj Digit. Medicine
Eyal Klang, Donald Apakama, Ethan E. Abbott, Akhil Vaid, Joshua Lampert, Ankit Sakhuja, Robert Freeman, Alexander W. Charney, David Reich, Monica Kraft, Girish N. Nadkarni, Benjamin S. Glicksberg
2024 J jnl
ChatGPT: A Conceptual Review of Applications and Utility in the Field of Medicine.
J. Medical Syst.
Shiavax J. Rao, Ameesh Isath, Parvathy Krishnan, Jonathan A. Tangsrivimol, Hafeez Ul Hassan Virk, Zhen Wang, Benjamin S. Glicksberg, Chayakrit Krittanawong
2024 J jnl
Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services.
CoRR
Dhavalkumar Patel, Ganesh Raut, Satya Narayan Cheetirala, Girish N. Nadkarni, Robert Freeman, Benjamin S. Glicksberg, Eyal Klang, Prem Timsina
2024 J jnl
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.
J. Am. Medical Informatics Assoc.
Benjamin S. Glicksberg, Prem Timsina, Dhaval Patel, Ashwin Sawant, Akhil Vaid, Ganesh Raut, Alexander W. Charney, Donald Apakama, Brendan G. Carr, Robert Freeman, Girish N. Nadkarni, Eyal Klang
2024 J jnl
Generative Large Language Models are autonomous practitioners of evidence-based medicine.
CoRR
Akhil Vaid, Joshua Lampert, Juhee Lee, Ashwin Sawant, Donald Apakama, Ankit Sakhuja, Ali Soroush, Denise Lee, Isotta Landi, Nicole Bussola, Ismail Nabeel, Robbie Freeman, Patricia H. Kovatch, Brendan G. Carr, Benjamin S. Glicksberg, Edgar Argulian, Stamatios Lerakis, Monica Kraft, Alexander Charney, Girish N. Nadkarni
2023 J jnl
A foundational vision transformer improves diagnostic performance for electrocardiograms.
npj Digit. Medicine
Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Jagat Narula, Benjamin S. Glicksberg, Girish N. Nadkarni
2023 J jnl
Biological research and self-driving labs in deep space supported by artificial intelligence.
Nat. Mac. Intell.
Lauren M. Sanders, Ryan T. Scott, Jason H. Yang, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes
2023 J jnl
Biomonitoring and precision health in deep space supported by artificial intelligence.
Nat. Mac. Intell.
Ryan T. Scott, Lauren M. Sanders, Erik L. Antonsen, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes
2023 J jnl
Editorial: Explainable artificial intelligence for critical healthcare applications.
Frontiers Artif. Intell.
Zhe He, Rui Zhang, Gayo Diallo, Zhengxing Huang, Benjamin S. Glicksberg
2023 J jnl
Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning.
CoRR
Sonish Sivarajkumar, Pratyush Tandale, Ankit Bhardwaj, Kipp W. Johnson, Anoop Titus, Benjamin S. Glicksberg, Shameer Khader, Kamlesh K. Yadav, Lakshminarayanan Subramanian
2023 — conf
Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn).
MLHC
Faris F. Gulamali, Ashwin Sawant, Ira S. Hofer, Matthew A. Levin, Alexander Charney, Karandeep Singh, Benjamin S. Glicksberg, Girish N. Nadkarni
2023 — conf
Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.
ICHI
Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng
2022 J jnl
Autoencoders for sample size estimation for fully connected neural network classifiers.
npj Digit. Medicine
Faris F. Gulamali, Ashwin Sawant, Patricia H. Kovatch, Benjamin S. Glicksberg, Alexander Charney, Girish N. Nadkarni, Eric K. Oermann
2022 Misc conf
Defining an Ethical Relationship with Artificial Intelligence at a Large Academic Health System.
AMIA
Teja Ganta, Nicholas Genes, Benjamin S. Glicksberg, Rosamond Rhodes, Robbie Freeman, Bruce Darrow
2022 J jnl
HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes.
CoRR
Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Benjamin S. Glicksberg, Jagat Narula, Girish N. Nadkarni
2022 A conf
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.
WACV
Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang
2022 — conf
Multi-Dimensional Laboratory Test Score as a Proxy for Health.
MIE
Bar H. Ezra, Shreyas Havaldar, Benjamin S. Glicksberg, Nadav Rappoport
2022 — conf
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.
MLMI@MICCAI
Junghwan Lee, Tingyi Wanyan, Qingyu Chen, Tiarnan D. L. Keenan, Benjamin S. Glicksberg, Emily Y. Chew, Zhiyong Lu, Fei Wang, Yifan Peng
2022 — conf
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.
BCB
Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng
2021 J jnl
A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality.
Big Data Cogn. Comput.
Eyal Klang, Matthew A. Levin, Shelly Soffer, Alexis Zebrowski, Benjamin S. Glicksberg, Brendan G. Carr, Jolion Mcgreevy, David L. Reich, Robert Freeman
2021 J jnl
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs.
CoRR
Lauren M. Sanders, Jason H. Yang, Ryan T. Scott, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes
2021 J jnl
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health.
CoRR
Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes
2021 J jnl
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.
CoRR
Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg
2021 J jnl
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.
CoRR
Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021 J jnl
Contrastive learning improves critical event prediction in COVID-19 patients.
Patterns
Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021 J jnl
Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.
CoRR
Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang
2021 J jnl
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.
Data Intell.
Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2021 Misc conf
Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records.
AMIA
Lauren A. Lepow, Braja Gopal Patra, Isotta Landi, Prakash Adekkanattu, Jyotishman Pathak, Mark Olfson, J. John Mann, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Priya Wickramaratne, Myrna Weissman, Benjamin S. Glicksberg, Alexander Charney
2021 J jnl
Extracting social determinants of health from electronic health records using natural language processing: a systematic review.
J. Am. Medical Informatics Assoc.
Braja Gopal Patra, Mohit Manoj Sharma, Veer Vekaria, Prakash Adekkanattu, Olga V. Patterson, Benjamin S. Glicksberg, Lauren A. Lepow, Euijung Ryu, Joanna M. Biernacka, Al'ona Furmanchuk, Thomas J. George, William R. Hogan, Yonghui Wu, Xi Yang, Jiang Bian, Myrna Weissman, Priya Wickramaratne, J. John Mann, Mark Olfson, Thomas R. Campion Jr., Mark G. Weiner, Jyotishman Pathak
2021 J jnl
Federated Learning for Healthcare Informatics.
J. Heal. Informatics Res.
Jie Xu, Benjamin S. Glicksberg, Chang Su, Peter B. Walker, Jiang Bian, Fei Wang
2021 Misc conf
Multi-Modal Data Science for Healthcare: State of the Art, Challenges, and Opportunities.
AMIA
Yuan Luo, Fei Wang, Benjamin S. Glicksberg, Jessilyn Dunn, Nigam Shah
2021 J jnl
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records.
Patterns
Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto
2021 J jnl
Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients.
Frontiers Artif. Intell.
Ramya Dhatri Vunikili, Benjamin S. Glicksberg, Kipp W. Johnson, Joel T. Dudley, Lakshminarayanan Subramanian, Khader Shameer
2021 J jnl
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.
IEEE Trans. Big Data
Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020 J jnl
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.
CoRR
Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020 J jnl
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale.
CoRR
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
2020 J jnl
Deep representation learning of electronic health records to unlock patient stratification at scale.
npj Digit. Medicine
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
2020 B conf
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions.
AIME
Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020 J jnl
Identification of therapeutic targets from genetic association studies using hierarchical component analysis.
BioData Min.
Hao-Chih Lee, Osamu Ichikawa, Benjamin S. Glicksberg, Aparna A. Divaraniya, Christine E. Becker, Pankaj Agarwal, Joel T. Dudley
2020 J jnl
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes.
npj Digit. Medicine
Beau Norgeot, Kathleen Muenzen, Thomas A. Peterson, Xuancheng Fan, Benjamin S. Glicksberg, Gundolf Schenk, Eugenia Rutenberg, Boris Oskotsky, Marina Sirota, Jinoos Yazdany, Gabriela Schmajuk, Dana Ludwig, Theodore C. Goldstein, Atul J. Butte
2020 J jnl
Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses.
Briefings Bioinform.
Andrew C. Liu, Krishna Patel, Ramya Dhatri Vunikili, Kipp W. Johnson, Fahad Jibrin 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
2020 J jnl
Sleep in the Natural Environment: A Pilot Study.
Sensors
Fayzan F. Chaudhry, Matteo Danieletto, Eddye Golden, Jerome R. 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
2019 J jnl
CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis.
Bioinform.
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
2019 J jnl
Deep learning predicts hip fracture using confounding patient and healthcare variables.
npj Digit. Medicine
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
2019 Misc conf
Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables.
PSB
Kipp W. Johnson, Jessica K. De Freitas, Benjamin S. Glicksberg, Jason R. Bobe, Joel T. Dudley
2019 J jnl
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model.
Bioinform.
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
2019 J jnl
Robust prediction of clinical outcomes using cytometry data.
Bioinform.
Zicheng Hu, Benjamin S. Glicksberg, Atul J. Butte
2018 Misc conf
Automated disease cohort selection using word embeddings from Electronic Health Records.
PSB
Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley
2018 — conf
Automatic processing of Electronic Medical Records using Deep Learning.
PervasiveHealth
Venet Osmani, Li Li, Matteo Danieletto, Benjamin S. Glicksberg, Joel Dudley, Oscar Mayora
2018 Misc conf
Causal inference on electronic health records to assess blood pressure treatment targets: An application of the parametric g formula.
PSB
Kipp W. Johnson, Benjamin S. Glicksberg, Rachel Hodos, Khader Shameer, Joel T. Dudley
2018 J jnl
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables.
CoRR
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
2018 Misc conf
Loss-of-function of neuroplasticity-related genes confers risk for human neurodevelopmental disorders.
PSB
Milo R. Smith, Benjamin S. Glicksberg, Li Li, Rong Chen, Hirofumi Morishita, Joel T. Dudley
2018 J jnl
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.
BMC Medical Informatics Decis. Mak.
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 H. Kovatch, Sabina Lim, Wayne K. Goodman, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Joel T. Dudley
2018 J jnl
Processing of Electronic Health Records using Deep Learning: A review.
CoRR
Venet Osmani, Li Li, Matteo Danieletto, Benjamin S. Glicksberg, Joel Dudley, Oscar Mayora
2018 J jnl
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning.
Briefings Bioinform.
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
2018 J jnl
Time Aggregation and Model Interpretation for Deep Multivariate Longitudinal Patient Outcome Forecasting Systems in Chronic Ambulatory Care.
CoRR
Beau Norgeot, Dmytro Lituiev, Benjamin S. Glicksberg, Atul J. Butte
2017 Misc conf
Identify Cancer Driver Genes Through Shared Mendelian Disease Pathogenic Variants and Cancer Somatic Mutations.
PSB
Meng Ma, Changchang Wang, Benjamin S. Glicksberg, Eric E. Schadt, Shuyu Dan Li, Rong Chen
2017 J jnl
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age.
J. Biomed. Informatics
Zichen Wang, Li Li, Benjamin S. Glicksberg, Ariel Israel, Joel T. Dudley, Avi Ma'ayan
2017 J jnl
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams.
Briefings Bioinform.
Khader Shameer, Marcus A. Badgeley, Riccardo Miotto, Benjamin S. Glicksberg, Joseph W. Morgan, Joel T. Dudley
2016 J jnl
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.
Bioinform.
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
2015 Misc conf
An Integrative Pipeline for Multi-Modal Discovery of Disease Relationships.
Pacific Symposium on Biocomputing
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