Prediction model of acute kidney injury induced by cisplatin in older adults using a machine learning algorithm

Early detection and prediction of cisplatin-induced acute kidney injury (Cis-AKI) are essential for the management of patients on chemotherapy with cisplatin. This study aimed to evaluate the performance of a prediction model for Cis-AKI. Japanese patients, who received cisplatin as the first-line c...

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Veröffentlicht in:	PloS one 2022-01, Vol.17 (1), p.e0262021
Hauptverfasser:	Okawa, Takaya, Mizuno, Tomohiro, Hanabusa, Shogo, Ikeda, Takeshi, Mizokami, Fumihiro, Koseki, Takenao, Takahashi, Kazuo, Yuzawa, Yukio, Tsuboi, Naotake, Yamada, Shigeki, Kameya, Yoshitaka
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Acute Kidney Injury - chemically induced Acute Kidney Injury - diagnosis Acute renal failure Aged Aged, 80 and over Algorithms Antineoplastic Agents - adverse effects Biology and Life Sciences Cancer Chemotherapy Cisplatin Cisplatin - adverse effects Complications and side effects Computer and Information Sciences Creatinine Datasets Decision making Decision trees Drug dosages Ethics Female Health aspects Health risks Hospitals Humans Kidney diseases Kidneys Learning algorithms Machine Learning Male Medical prognosis Medicine Medicine and Health Sciences Middle Aged Nephrology Neural networks Older people Patients Performance evaluation Pharmacy Physical Sciences Prediction models Recall Research and Analysis Methods Risk factors Serum albumin
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