Author

Milad Besharatifard

Amirkabir University of TechnologyORCID 0000-0001-9829-6396Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

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Fatemeh Zare‐MirakabadiD· 1 shared Zahra GhorbanaliiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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1 shared paperBioinformatics

Fatemeh Zare‐MirakabadORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 15, 2021

The assessment of similarity vectors of fingerprint and UMLS in adverse drug reaction prediction

Milad Besharatifard, Zahra Ghorbanali, Fatemeh Zare‐Mirakabad

The paper evaluates four frameworks using similarity vectors of drug and adverse reaction features to predict adverse drug reactions, finding that frameworks with fewer features achieve higher accuracy.

DOI 10.1101/2021.11.15.468509

machine learning (classical)benchmarking

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