Explainable multimodal machine learning model for classifying pregnancy drug safety.

Shtar, Guy; Rokach, Lior; Shapira, Bracha; Kohn, Elkana; Berkovitch, Matitiahu; Berlin, Maya

Shtar, Guy; Rokach, Lior; Shapira, Bracha; Kohn, Elkana; Berkovitch, Matitiahu; Berlin, Maya.

Afiliação

Shtar G; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Shevam, Israel.
Rokach L; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Shevam, Israel.
Shapira B; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Shevam, Israel.
Kohn E; Clinical Pharmacology and Toxicology Unit, Drug Consultation Center, Shamir Medical Center (Assaf Harofeh), Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Berkovitch M; Clinical Pharmacology and Toxicology Unit, Drug Consultation Center, Shamir Medical Center (Assaf Harofeh), Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Berlin M; Clinical Pharmacology and Toxicology Unit, Drug Consultation Center, Shamir Medical Center (Assaf Harofeh), Zerifin, Affiliated to Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.

Bioinformatics ; 38(4): 1102-1109, 2022 01 27.

Article em En | MEDLINE | ID: mdl-34791058

Assuntos

Aprendizado de Máquina; Software; Gravidez; Feminino; Humanos; Fatores de Risco; Curva ROC

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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