Richard C. Kiefer

Also affiliated with Mayo Clinic, University of Washington, Cornell University, Mayo Clinic in Florida, Temple University

Biochemistry, Genetics and Molecular BiologyComputer ScienceHealth ProfessionsDecision Sciences

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records”.

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Psychiatric Research and Clinical Practice(2023)10.1176/appi.prcp.20220015

N/A

0.725DataRank · unranked

17 citations

Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu +10 more

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language

Learning Health Systems(2020)10.1002/lrh2.10233

N/A

0DataRank · unranked

24 citations

Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad +9 more

Subphenotyping depression using machine learning and electronic health records

Learning Health Systems(2020)10.1002/lrh2.10241

N/A

0DataRank · unranked

30 citations

Fei Wang, Prakash Adekkanattu, Budhaditya Bose, Veer Vekaria, Pascal Brandt +9 more