Applying Machine Learning Techniques to Predict Drug-Related Side Effect: A Policy Brief
Drug safety is a critical aspect of public health, yet traditional detection methods may miss rare or long-term side effects. Recently, machine learning (ML) techniques have shown promise in predicting drug-related side effects earlier in the development pipeline. The objective of this policy brief...
Saved in:
| Main Authors: | Esmaeel Toni MSc, Haleh Ayatollahi PhD |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-06-01
|
| Series: | Inquiry: The Journal of Health Care Organization, Provision, and Financing |
| Online Access: | https://doi.org/10.1177/00469580251335805 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing cancer-supportive care through virtual reality: a policy brief
by: Esmaeel Toni, et al.
Published: (2025-04-01) -
Drug‐Related Side Effects and Contributing Risk Factors in Children With Congenital Heart Disease: A Cross‐Sectional Study
by: Esmaeel Toni, et al.
Published: (2025-05-01) -
Acceptance and use of extended reality in surgical training: an umbrella review
by: Esmaeel Toni, et al.
Published: (2024-12-01) -
COVID-19 risk stratification among older adults: a machine learning approach to identify personal and health-related risk factors
by: Arezoo Abasi, et al.
Published: (2025-07-01) -
A Brief Look at Translations of Mohammad Taghi Ghiasi from Emile Zola
by: Esmaeel Farnoud
Published: (2018-05-01)