sureLDA: A multidisease automated phenotyping method for the electronic health record

High-throughput multimodal automated phenotyping (MAP) with application to PheWAS

(2019) Katherine P Liao et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Methodological variations in lagged regression for detecting physiologic drug effects in EHR data

(2018) Matthew E. Levine et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Enabling phenotypic big data with PheNorm

(2017) Sheng Yu et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Semi-supervised learning of the electronic health record for phenotype stratification

(2016) Brett K. Beaulieu-Jones et al.   JOURNAL OF BIOMEDICAL INFORMATICS

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability

(2016) Jacqueline C Kirby et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Learning statistical models of phenotypes using noisy labeled training data

(2016) Vibhu Agarwal et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Electronic medical record phenotyping using the anchor and learn framework

(2016) Yoni Halpern et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

(2016) Riccardo Miotto et al.   Scientific Reports

Learning probabilistic phenotypes from heterogeneous EHR data

(2015) Rimma Pivovarov et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Inaccuracy of ICD-9 Codes for Chronic Kidney Disease: A Study from Two Practice-based Research Networks (PBRNs)

(2015) C. W. Cipparone et al.   Journal of the American Board of Family Medicine

Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources

(2015) Sheng Yu et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Identification of type 2 diabetes subgroups through topological analysis of patient similarity

(2015) Li Li et al.   Science Translational Medicine

Development of phenotype algorithms using electronic medical records and incorporating natural language processing

(2015) K. P. Liao et al.   BMJ-British Medical Journal

Development of phenotype algorithms using electronic medical records and incorporating natural language processing

(2015) K. P. Liao et al.   BMJ-British Medical Journal

Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts

(2015) Katherine P. Liao et al.   PLoS One

Improving Case Definition of Crohnʼs Disease and Ulcerative Colitis in Electronic Medical Records Using Natural Language Processing

(2013) Ashwin N. Ananthakrishnan et al.   INFLAMMATORY BOWEL DISEASES

Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network

(2013) K. M. Newton et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

(2013) Joshua C Denny et al.   NATURE BIOTECHNOLOGY

Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records

(2013) Zongqi Xia et al.   PLoS One

Portability of an algorithm to identify rheumatoid arthritis in electronic health records

(2012) Robert J Carroll et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Next-generation phenotyping of electronic health records

(2012) G. Hripcsak et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

A translational engine at the national scale: informatics for integrating biology and the bedside

(2011) Isaac S Kohane et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations

(2010) J. C. Denny et al.   BIOINFORMATICS

Electronic medical records for discovery research in rheumatoid arthritis

(2010) Katherine P. Liao et al.   ARTHRITIS CARE & RESEARCH