LGFeb 3, 2021
Investigating Critical Risk Factors in Liver Cancer Prediction
arXiv:2102.02088v1
Originality Synthesis-oriented
AI Analysis
This study aims to identify critical risk factors for liver cancer, which could aid in early detection and prevention strategies for public health.
This paper developed a machine learning model to predict liver cancer using epidemiological data from over 55,000 individuals. The model achieved an AUC of 0.71 and was used to identify critical risk factors for liver cancer.
We exploit liver cancer prediction model using machine learning algorithms based on epidemiological data of over 55 thousand peoples from 2014 to the present. The best performance is an AUC of 0.71. We analyzed model parameters to investigate critical risk factors that contribute the most to prediction.