mlsanityData to 14 Oct 2026

Investigating Critical Risk Factors in Liver Cancer Prediction

arXiv 2102.02088 ↗First posted 3 Feb 2021cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 39 references that are in the map. First posted on arXiv 3 Feb 2021.

Builds on

2 of 39 references.

References · 2

  1. 2017A Survey on Deep Learning in Medical Image Analysiscited by 1,186
  2. 2017Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysiscited by 148

Built on by

Not cited yet.