Avi Yagil

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 4 papers. Top paper: “A machine learning risk score predicts mortality across the spectrum of left ventricular ejection fraction”.

A machine learning risk score predicts mortality across the spectrum of left ventricular ejection fraction

European Journal of Heart Failure(2021)10.1002/ejhf.2155

N/A

0DataRank · unranked

32 citations

Eric Adler, C. Campagnari, Avi Yagil, Barry Greenberg

Improving clinical trial efficiency using a machine learning‐based risk score to enrich study populations

European Journal of Heart Failure(2022)10.1002/ejhf.2528

N/A

0DataRank · unranked

23 citations

C. Campagnari, Brian Claggett, Eric Adler, LIVIU KLEIN, Faraz S. Ahmad +5 more

Performance of Risk Models to Predict Mortality Risk for Patients with Heart Failure: Evaluation in an Integrated Health System

medRxiv(2023)10.1101/2023.06.23.23291822

N/A

0DataRank · unranked

0 citations

Ted Ling Hu, Eric Adler, Lucia C. Petito, Ramsey M. Wehbe, Jane E. Wilcox +7 more

Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system

Clinical Research in Cardiology(2024)10.1007/s00392-024-02433-2

N/A

0DataRank · unranked

5 citations

Ted Ling Hu, Eric Adler, Lucia C. Petito, Ramsey M. Wehbe, Jane E. Wilcox +7 more