Morteza Noshad

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 5 papers. Top paper: “A data value metric for quantifying information content and utility”.

A data value metric for quantifying information content and utility

Journal Of Big Data(2021)10.1186/s40537-021-00446-6

N/A

0DataRank · unranked

22 citations

J.-C. CHOI, Yuming Sun, Alfred O. Hero, Ivo D. Dinov, Morteza Noshad

Signal from the Noise: A Mixed Methods Process Mining Approach to Evaluate Care Pathways

medRxiv(2021)10.1101/2021.11.08.21266066

N/A

0DataRank · unranked

0 citations

Christian Rose, Jonathan H. Chen, Morteza Noshad

Personalized antibiograms for machine learning driven antibiotic selection

Communications Medicine(2022)10.1038/s43856-022-00094-8

N/A

0DataRank · unranked

70 citations

Lillian Sung, Arhana Chattopadhyay, Morteza Noshad, Amy Chang, Stanley Deresinksi +3 more

Team is brain: leveraging EHR audit log data for new insights into acute care processes

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac201

N/A

0DataRank · unranked

28 citations

Robert Thombley, Morteza Noshad, Yun Lu, Heather Clancy, David Schlessinger +5 more

Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's disease

Health Science Reports(2023)10.1002/hsr2.1438

N/A

0DataRank · unranked

14 citations

Morteza Noshad, VJ Periyakoil, Jonathan H. Chen, Sajjad Fouladvand