all AI news
Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis
April 10, 2024, 4:42 a.m. | Fatma Zahra Abdeldjouad, Menaouer Brahami, Mohammed Sabri
cs.LG updates on arXiv.org arxiv.org
Abstract: Adverse drug reactions considerably impact patient outcomes and healthcare costs in cancer therapy. Using artificial intelligence to predict adverse drug reactions in real time could revolutionize oncology treatment. This study aims to assess the performance of artificial intelligence models in predicting adverse drug reactions in patients with cancer. This is the first systematic review and meta-analysis. Scopus, PubMed, IEEE Xplore, and ACM Digital Library databases were searched for studies in English, French, and Arabic from …
abstract analysis artificial artificial intelligence arxiv cancer costs cs.ai cs.lg healthcare healthcare costs impact intelligence meta meta-analysis oncology patient patients performance q-bio.qm review study therapy treatment type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Scientist
@ Publicis Groupe | New York City, United States
Bigdata Cloud Developer - Spark - Assistant Manager
@ State Street | Hyderabad, India