# Explainable multimodal machine learning model for classifying pregnancy drug safety

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/explainable-multimodal-machine-learning-model-for-classifying-pregnancy-drug/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Guy Shtar,Lior Rokach,Bracha Shapira,Elkana Kohn,Matitiahu Berkovitch,Maya Berlin |
| Citations | 17 |
| DOI | 10.1093/bioinformatics/btab769 |
| Fields | Medicine,Pharmacology, Toxicology and Pharmaceutics |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3213514782 |
| PMID | 34791058 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Elkana Kohn](https://scholariq.org/researchers/elkana-kohn/)

## Paper primary topic

- [Pregnancy and Medication Impact](https://scholariq.org/topics/pregnancy-and-medication-impact/)

## Paper topics

- [Pregnancy and Medication Impact](https://scholariq.org/topics/pregnancy-and-medication-impact/)
- [Pharmacovigilance and Adverse Drug Reactions](https://scholariq.org/topics/pharmacovigilance-and-adverse-drug-reactions/)
- [Preterm Birth and Chorioamnionitis](https://scholariq.org/topics/preterm-birth-and-chorioamnionitis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.