A Risk-Factor Model for Antineoplastic Drug-Induced Serious Adverse Events in Cancer Inpatients: A Retrospective Study Based on the Global Trigger Tool and Machine Learning
The objective of this study was to apply a machine learning method to evaluate the risk factors associated with serious adverse events (SAEs) and predict the occurrence of SAEs in cancer inpatients using antineoplastic drugs. A retrospective review of the medical records of 499 patients diagnosed wi...
保存先:
主要な著者: | Ni Zhang (著者), Ling-Yun Pan (著者), Wan-Yi Chen (著者), Huan-Huan Ji (著者), Gui-Qin Peng (著者), Zong-Wei Tang (著者), Hui-Lai Wang (著者), Yun-Tao Jia (著者), Jun Gong (著者) |
---|---|
フォーマット: | 図書 |
出版事項: |
Frontiers Media S.A.,
2022-06-01T00:00:00Z.
|
主題: | |
オンライン・アクセス: | Connect to this object online. |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Characterization of adverse drug events identified by trigger in Brazilian pediatric inpatients
著者:: Lunara Teles Silva, 等
出版事項: (2020) -
Characterization of adverse drug events identified by trigger in Brazilian pediatric inpatients
著者:: Lunara Teles Silva, 等
出版事項: (2020) -
Cardiovascular adverse events associated with oral antineoplastic therapy
著者:: Jacqueline Mota da Silva, 等 -
Predicting Adverse Drug Events in Chinese Pediatric Inpatients With the Associated Risk Factors: A Machine Learning Study
著者:: Ze Yu, 等
出版事項: (2021) -
Establishing a trigger tool based on global trigger tools to identify adverse drug events in obstetric inpatients in China
著者:: Shan Wu, 等
出版事項: (2024)