Machine learning model for predicting excessive muscle loss during neoadjuvant chemoradiotherapy in oesophageal cancer.

ABSTRACT:

Background

Excessive skeletal muscle loss during neoadjuvant concurrent chemoradiotherapy (NACRT) is significantly related to survival outcomes of oesophageal cancer. However, the conventional method for measuring skeletal muscle mass requires computed tomography (CT) images, and the calculation process is labour-intensive. In this study, we built machine-learning models to predict excessive skeletal muscle loss, using only body mass index data and blood laboratory test results.

Methods

We randomly split the data of 232 male patients treated with NACRT for oesophageal cancer into the training (70%) and test (30%) sets for 1000 iterations. The naive random over sampling method was applied to each training set to adjust for class imbalance, and we used seven different machine-

SUBMITTER: Yoon HG 

PROVIDER: S-EPMC8517349 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature