Li Li

Orcid: 0000-0001-6746-4297

Affiliations:
  • Institute of Next Generation of Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  • Stanford University School of Medicine, Department of Pediatrics, CA, USA (former)


According to our database1, Li Li authored at least 22 papers between 2009 and 2022.

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Bibliography

2022
Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data.
npj Digit. Medicine, 2022

Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum.
npj Digit. Medicine, 2022

A comprehensive digital phenotype for postpartum hemorrhage.
J. Am. Medical Informatics Assoc., 2022

Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records.
J. Am. Medical Informatics Assoc., 2022

2020
Automated Phenotyping of Patients with Non-Alcoholic Fatty Liver Disease Reveals Clinically RelevantDisease Subtypes.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

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

2018
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.
BMC Medical Informatics Decis. Mak., 2018

Uncovering exposures responsible for birth season - disease effects: a global study.
J. Am. Medical Informatics Assoc., 2018

Processing of Electronic Health Records using Deep Learning: A review.
CoRR, 2018

Loss-of-function of neuroplasticity-related genes confers risk for human neurodevelopmental disorders.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Automated disease cohort selection using word embeddings from Electronic Health Records.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Automatic processing of Electronic Medical Records using Deep Learning.
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

2017
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age.
J. Biomed. Informatics, 2017

Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Application of I-COMO device towards geographic disease enrichment pattern revealed from electronic medical record at a large Urban academic medical center.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017

2016
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.
Bioinform., 2016

Deep Learning to Predict Patient Future Diseases from the Electronic Health Records.
Proceedings of the Advances in Information Retrieval, 2016

2015
An Integrative Pipeline for Multi-Modal Discovery of Disease Relationships.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2013
Systematic Identification of Risk Factors for Alzheimer's Disease Through Shared Genetic Architecture and Electronic Medical Records.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2010
Differentially Expressed RNA from Public Microarray Data Identifies Serum Protein Biomarkers for Cross-Organ Transplant Rejection and Other Conditions.
PLoS Comput. Biol., 2010

2009
Viewpoint Paper: Repurposing the Clinical Record: Can an Existing Natural Language Processing System De-identify Clinical Notes?
J. Am. Medical Informatics Assoc., 2009

Research Paper: Syndromic Surveillance Using Ambulatory Electronic Health Records.
J. Am. Medical Informatics Assoc., 2009


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