Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. - Khader Shameer; Kipp W. Johnson; Alexandre Yahi; Riccardo Miotto; Li Li 062; Doran Ricks; Jebakumar Jebakaran; Patricia H. Kovatch; Partho P. Sengupta; Annetine Gelijns; Alan Moskovitz; Bruce Darrow; et al. (PSB, 2017)

Automated disease cohort selection using word embeddings from Electronic Health Records. - Benjamin S. Glicksberg; Riccardo Miotto; Kipp W. Johnson; Khader Shameer; Li Li 062; Rong Chen 006; Joel T. Dudley (PSB, 2018)

Causal inference on electronic health records to assess blood pressure treatment targets: An application of the parametric g formula. - Kipp W. Johnson; Benjamin S. Glicksberg; Rachel Hodos; Khader Shameer; Joel T. Dudley (PSB, 2018)

Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. - 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 006; Avi Ma'ayan; et al. (Briefings Bioinform., 2018)

Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining. - Khader Shameer; M. Mercedes Perez-Rodriguez; Roy Bachar; Li Li 062; Amy Johnson; Kipp W. Johnson; Benjamin S. Glicksberg; Milo R. Smith; Ben Readhead; Joseph Scarpa; Jebakumar Jebakaran; Patricia H. Kovatch; et al. (BMC Medical Informatics Decis. Mak., 2018)

Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables. - Kipp W. Johnson; Jessica K. De Freitas; Benjamin S. Glicksberg; Jason R. Bobe; Joel T. Dudley (PSB, 2019)

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. - 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; et al. (Bioinform., 2019)

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. - 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 001; Justin F. Rousseau; et al. (AIME, 2020)

Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses. - 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; et al. (Briefings Bioinform., 2020)

Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients. - Ramya Dhatri Vunikili; Benjamin S. Glicksberg; Kipp W. Johnson; Joel T. Dudley; Lakshminarayanan Subramanian; Khader Shameer (Frontiers Artif. Intell., 2021)

Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. - Jessica K. De Freitas; Kipp W. Johnson; Eddye Golden; Girish N. Nadkarni; Joel T. Dudley; Erwin P. Bottinger; Benjamin S. Glicksberg; Riccardo Miotto (Patterns, 2021)

Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning. - Sonish Sivarajkumar; Pratyush Tandale; Ankit Bhardwaj; Kipp W. Johnson; Anoop Titus; Benjamin S. Glicksberg; Shameer Khader; Kamlesh K. Yadav; Lakshminarayanan Subramanian (CoRR, 2023)