Dekel Taliaz

MedicinePsychologyComputer ScienceNeuroscience

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: “Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data”.

Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data

Translational Psychiatry(2021)10.1038/s41398-021-01488-3

N/A

0DataRank · unranked

92 citations

Amit Spinrad, Ran Barzilay, Zohar Barnett‐Itzhaki, Dana Averbuch, Omri Teltsh +4 more

P.0093 Optimizing prediction of response to antidepressant medications using machine learning and environmental data

European Neuropsychopharmacology(2021)10.1016/j.euroneuro.2021.10.093

N/A

0DataRank · unranked

0 citations

S. Darki-Morag, Roni Zoller, Dekel Taliaz, Amit Spinrad