Imran Thariq Ajmal

Chettinad Academy of Research and Education

Also affiliated with Chettinad Health City

Computer ScienceMedicine

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: “Application of concise machine learning to construct accurate and interpretable EHR computable phenotypes”.

Application of concise machine learning to construct accurate and interpretable EHR computable phenotypes

medRxiv(2020)10.1101/2020.12.12.20248005

N/A

0DataRank · unranked

1 citations

Paul C. Lee, Imran Thariq Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen +3 more

A flexible symbolic regression method for constructing interpretable clinical prediction models

npj Digital Medicine(2023)10.1038/s41746-023-00833-8

N/A

0DataRank · unranked

37 citations

Paul C. Lee, Imran Thariq Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen +3 more