Identifying Prognostic Groups Using Machine Learning Tools in Patients Undergoing Chemoradiation for Inoperable Locally Advanced Nonsmall Cell Lung Carcinoma

Identifying Prognostic Groups Using Machine Learning Tools in Patients Undergoing Chemoradiation for Inoperable Locally Advanced Nonsmall Cell Lung Carcinoma

Introduction Unresectable stage III nonsmall cell lung cancer (NSCLC) continues to have dismal 5-year overall survival (OS) rate. However, a subset of the patients treated with chemoradiation show significantly better outcome. Prediction of treatment outcome can be improved by utilizing machine lear...

Full description

Bibliographic Details
Main Authors: Anjali K. Pahuja, Kundan Singh Chufal, Irfan Ahmad, Ram Bajpai, Rajpal Singh, Rahul Lal Chowdhary, Maithili Sharma
Format: Article
Language:English
Published: Thieme Medical Publishers, Inc. 2019-07-01
Series:Asian Journal of Oncology
Subjects:
chemoradiation
machine learning
nonsmall cell lung carcinoma
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0039-3401437

Internet

http://www.thieme-connect.de/DOI/DOI?10.1055/s-0039-3401437

Similar Items