Li, Li

Deep patient: An unsupervised representation to predict the future of patients from the electronic health records

Miotto, R., Li, L., Kidd, B. A., & Dudley, J. T. (2016) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 1,710

ZDOCK: An initial‐stage protein‐docking algorithm

Chen, R., Li, L., & Weng, Z. (2003) · Proteins: Structure, Function, and Bioinformatics

Protein Structure and DynamicsComputational Drug Discovery Methods

Cited by 1,393

AKI in Hospitalized Patients with COVID-19

Chan, L., Chaudhary, K., Saha, A., Chauhan, K., Vaid, A., Zhao, S., Paranjpe, I., Somani, S., Richter, F., Miotto, R., et al. (2021) · Journal of the American Society of Nephrology

Acute Kidney Injury ResearchCOVID-19 Clinical Research Studies

Cited by 805

Association of Hemoglobin A 1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative

Vashisht, R., Jung, K., Schuler, A., Banda, J. M., Park, R. W., Jin, S., Li, L., Dudley, J. T., Johnson, K. W., Shervey, M. M., et al. (2018) · JAMA Network Open

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 61

Deep Learning to Predict Patient Future Diseases from the Electronic Health Records

Miotto, R., Li, L., & Dudley, J. T. (2016) · Lecture Notes in Computer Science

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 59

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model

Glicksberg, B. S., Oskotsky, B., Thangaraj, P. M., Giangreco, N., Badgeley, M. A., Johnson, K. W., Datta, D., Rudrapatna, V. A., Rappoport, N., Shervey, M. M., et al. (2019) · Bioinformatics

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 45