Beth Friedmann

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 2 papers. Top paper: “Development and validation of a clinical wearable deep learning based continuous inhospital deterioration prediction model”.

Development and validation of a clinical wearable deep learning based continuous inhospital deterioration prediction model

Nature Communications(2025)10.1038/s41467-025-65219-8

N/A

0DataRank · unranked

7 citations

Beth Friedmann, Michael Oppenheim, Jamie S. Hirsch, Theodoros P. Zanos, Michael Scheid

Beyond episodic early warning systems: a continuous clinical alert system for early detection of in-hospital deterioration

medRxiv(2025)10.1101/2025.05.20.25327940

N/A

0DataRank · unranked

1 citations

Beth Friedmann, Michael Oppenheim, Jamie S. Hirsch, Theodoros P. Zanos, Michael Scheid