Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms

Of the ML models, GBM model could predict the prognosis of advanced MHCC patients most accurately.

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Publication Details

Journal
Frontiers in Medicine
Published
2024-09-27
DOI
https://doi.org/10.3389/fmed.2024.1452188
Citations
3
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
1.11

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article

Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms

Kailiang Zhao, Dashuai Yang, Yu Zhou, Jie Shen et al.
3 citations
Frontiers in Medicine
Hepatocellular Carcinoma Treatment and Prognosis
1.11
article

Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms

Kailiang Zhao, Dashuai Yang, Yu Zhou, Jie Shen, Jun‐Peng Pei, Youming Ding
article en
3 citations

Abstract

Of the ML models, GBM model could predict the prognosis of advanced MHCC patients most accurately.

Frontiers in MedicineVol. 11
Second Military Medical University (CN), Wuhan University (CN), Eastern Hepatobiliary Surgery Hospital (CN), Renmin Hospital of Wuhan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 22%
Hepatocellular Carcinoma Treatment and Prognosis
1.11
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