Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma

He, Tingshan; Li, Jing; Wang, Peng; Zhang, Zhiqiao

doi:10.1016/j.csbj.2022.05.005

Computational and Structural Biotechnology Journal

2022

DOI: 10.1016/j.csbj.2022.05.005

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Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma

Tingshan He

Jing Li

Peng Wang

et al.

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Cited by 4 publications

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A prediction model based on random survival forest analysis of the overall survival of elderly female papillary thyroid carcinoma patients: a SEER-based study

Lun,

Yuan,

et al. 2024

Endocrine

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Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma

Cited by 4 publications

References 44 publications

A prediction model based on random survival forest analysis of the overall survival of elderly female papillary thyroid carcinoma patients: a SEER-based study

A prediction model based on random survival forest analysis of the overall survival of elderly female papillary thyroid carcinoma patients: a SEER-based study

LncRNA SPRY4-IT1 regulates 16HBE cell malignant transformation induced by particulate matter through DUSP6-ERK1/2-Chk1 signaling pathway

Predicting lung cancer survival based on clinical data using machine learning: A review

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