Keyvan Rahmani

Ministry of Health and Medical Education

EngineeringMedicineComputer ScienceBusiness, Management and Accounting

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: “Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction”.

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

International Journal of Medical Informatics(2022)10.1016/j.ijmedinf.2022.104930

N/A

0DataRank · unranked

83 citations

Rahul Thapa, Peiling Tsou, Satish Casie Chetty, Gina Barnes, Carson Lam +2 more

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

medRxiv(2022)10.1101/2022.06.06.22276062

N/A

0DataRank · unranked

17 citations

Rahul Thapa, Peiling Tsou, Satish Casie Chetty, Gina Barnes, Carson Lam +2 more