Development of Machine Learning Models to Predict Platinum Sensitivity of High-Grade Serous Ovarian Carcinoma

Development of Machine Learning Models to Predict Platinum Sensitivity of High-Grade Serous Ovarian Carcinoma

To support the implementation of individualized disease management, we aimed to develop machine learning models predicting platinum sensitivity in patients with high-grade serous ovarian carcinoma (HGSOC). We reviewed the medical records of 1002 eligible patients. Patients’ clinicopathologic charact...

Full description

Bibliographic Details
Main Authors: Suhyun Hwangbo, Se Ik Kim, Ju-Hyun Kim, Kyung Jin Eoh, Chanhee Lee, Young Tae Kim, Dae-Shik Suh, Taesung Park, Yong Sang Song
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Cancers
Subjects:
ovarian cancer
high-grade serous carcinoma
prognosis
platinum resistance
machine learning
model
Online Access:https://www.mdpi.com/2072-6694/13/8/1875

Internet

https://www.mdpi.com/2072-6694/13/8/1875

Similar Items