Scope, design, and reporting of prediction models for antineoplastic drugs‐related adverse drug events: A systematic review of machine learning and traditional modeling-Reference-Cited by-同舟云学术

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Scope, design, and reporting of prediction models for antineoplastic drugs‐related adverse drug events: A systematic review of machine learning and traditional modeling

Published:2023-10-20 Issue:4 Volume:16 Page:420-423
ISSN:1756-5383
Container-title:Journal of Evidence-Based Medicine
language:en
Short-container-title:J Evidence Based Medicine

Author:

Jiang Dan¹²³⁴^ORCID,Song Zaiwei¹²³,Hu Yang¹²³⁴,Li Xinya¹²³⁴,Zhao Rongsheng¹²³

Affiliation:

1. Department of Pharmacy Peking University Third Hospital Beijing China

2. Institute for Drug Evaluation Peking University Health Science Center Beijing China

3. Therapeutic Drug Monitoring and Clinical Toxicology Center Peking University Beijing China

4. Department of Pharmacy Administration and Clinical Pharmacy School of Pharmaceutical Sciences Peking University Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Health Policy,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jebm.12558

Reference14 articles.

1. Antineoplastic Drug-Induced Cardiotoxicity: A Redox Perspective

2. The challenges for cancer chemoprevention

3. A novel scoring system to estimate chemotherapy-induced myocardial toxicity: Risk assessment prior to non-anthracycline chemotherapy regimens

4. Multiple Myeloma Patients Undergoing Carfilzomib: Development and Validation of a Risk Score for Cardiovascular Adverse Events Prediction

5. Predicting risk of chemotherapy-induced severe neutropenia: A pooled analysis in individual patients data with advanced lung cancer

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