Research Paper: Syndromic Surveillance Using Ambulatory Electronic Health Records. - George Hripcsak; Nicholas D. Soulakis; Li Li 062; Frances P. Morrison; Albert M. Lai; Carol Friedman; Neil S. Calman; Farzad Mostashari (J. Am. Medical Informatics Assoc., 2009)

Viewpoint Paper: Repurposing the Clinical Record: Can an Existing Natural Language Processing System De-identify Clinical Notes? - Frances P. Morrison; Li Li 062; Albert M. Lai; George Hripcsak (J. Am. Medical Informatics Assoc., 2009)

Differentially Expressed RNA from Public Microarray Data Identifies Serum Protein Biomarkers for Cross-Organ Transplant Rejection and Other Conditions. - Rong Chen 006; Tara K. Sigdel; Li Li 062; Neeraja Kambham; Joel Dudley; Szu-chuan Hsieh; R. Bryan Klassen; Amery Chen; Tuyen Caohuu; Alexander A. Morgan; Hannah A. Valantine; Kiran K. Khush; et al. (PLoS Comput. Biol., 2010)

Systematic Identification of Risk Factors for Alzheimer's Disease Through Shared Genetic Architecture and Electronic Medical Records. - Li Li 062; David Ruau; Rong Chen 006; Susan C. Weber; Atul J. Butte (Pacific Symposium on Biocomputing, 2013)

An Integrative Pipeline for Multi-Modal Discovery of Disease Relationships. - Benjamin S. Glicksberg; Li Li 062; Wei-Yi Cheng; Khader Shameer; Jörg Hakenberg; Rafael Castellanos; Meng Ma; Lisong Shi; Hardik Shah; Joel T. Dudley; Rong Chen 006 (Pacific Symposium on Biocomputing, 2015)

Deep Learning to Predict Patient Future Diseases from the Electronic Health Records. - Riccardo Miotto; Li Li 062; Joel T. Dudley (ECIR, 2016)

Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks. - Benjamin S. Glicksberg; Li Li 062; 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; et al. (Bioinform., 2016)

Application of I-COMO device towards geographic disease enrichment pattern revealed from electronic medical record at a large Urban academic medical center. - Matteo Danieletto; Li Li 062; Joel T. Dudley (PervasiveHealth, 2017)

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)

Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age. - Zichen Wang 002; Li Li 062; Benjamin S. Glicksberg; Ariel Israel; Joel T. Dudley; Avi Ma'ayan (J. Biomed. Informatics, 2017)

Automatic processing of Electronic Medical Records using Deep Learning. - Venet Osmani; Li Li 062; Matteo Danieletto; Benjamin S. Glicksberg; Joel Dudley; Oscar Mayora (PervasiveHealth, 2018)

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)

Loss-of-function of neuroplasticity-related genes confers risk for human neurodevelopmental disorders. - Milo R. Smith; Benjamin S. Glicksberg; Li Li 062; Rong Chen 006; Hirofumi Morishita; Joel T. Dudley (PSB, 2018)

Processing of Electronic Health Records using Deep Learning: A review. - Venet Osmani; Li Li 062; Matteo Danieletto; Benjamin S. Glicksberg; Joel Dudley; Oscar Mayora (CoRR, 2018)

Uncovering exposures responsible for birth season - disease effects: a global study. - Mary Regina Boland; Pradipta Parhi; Li Li 062; Riccardo Miotto; Robert J. Carroll; Usman Iqbal; Phung-Anh (Alex) Nguyen; Martijn J. Schuemie; Seng Chan You; Donahue Smith; Sean D. Mooney; Patrick B. Ryan; et al. (J. Am. Medical Informatics Assoc., 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)

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)

Automated Phenotyping of Patients with Non-Alcoholic Fatty Liver Disease Reveals Clinically RelevantDisease Subtypes. - Maxence Vandromme; Tomi Jun; Ponni Perumalswami; Joel T. Dudley; Andrea Branch; Li Li 062 (PSB, 2020)

Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records. - Amanda B. Zheutlin; Luciana Vieira; Ryan A. Shewcraft; Shilong Li; Zichen Wang 002; Emilio Schadt; Susan Gross; Siobhan M. Dolan; Joanne Stone; Eric E. Schadt; Li Li 062 (J. Am. Medical Informatics Assoc., 2022)

A comprehensive digital phenotype for postpartum hemorrhage. - Amanda B. Zheutlin; Luciana Vieira; Ryan A. Shewcraft; Shilong Li; Zichen Wang 002; Emilio Schadt; Yu-Han Kao; Susan Gross; Siobhan M. Dolan; Joanne Stone; Eric E. Schadt; Li Li 062 (J. Am. Medical Informatics Assoc., 2022)

Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum. - Sarah M. Goodday; E. Karlin; A. Brooks; C. Chapman; Daniel R. Karlin; Luca Foschini 002; E. Kipping; M. Wildman; M. Francis; H. Greenman; Li Li 062; Eric E. Schadt; et al. (npj Digit. Medicine, 2022)

Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data. - Shilong Li; Zichen Wang 002; Luciana Vieira; Amanda B. Zheutlin; Boshu Ru; Emilio Schadt; Pei Wang 014; Alan B. Copperman; Joanne Stone; Susan Gross; Yu-Han Kao; Yan Kwan Lau; et al. (npj Digit. Medicine, 2022)