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Article

A clinical decision support system to predict the efficacy for EGFR-TKIs based on artificial neural network.

Journal of cancer research and clinical oncology - 1 Oct 2023

Liang Xiao, Guan Runwei, Zhu Jiamin, Meng Yue, Zhu Jing, Yang Yuxiang, Cui Yanan, Dai Jiali, Mao Weidong, Lv Liting, Shen Dong, Guo Renhua

Abstract excerpt

BACKGROUND: The efficacy of epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) was affected by numerous factors. In the study, we developed and validated an artificial neural network (ANN) system based on clinical characteristics and next-generation sequencing (NGS) to support clinical decisions. METHODS: A multicenter retrospective non-interventional study was conducted. 240 patients from...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 37434091
DOI: 10.1007/s00432-023-05104-3

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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