Deep learning-based model for predicting progression in patients with head and neck squamous cell carcinoma.

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Abstract

This study endeavors to build a deep learning (DL)-based model for predicting disease progression in head and neck squamous cell carcinoma (HNSCC) patients by integrating multi-omics data.

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Journal

Journal ID (iso-abbrev): Cancer Biomark

Title: Cancer biomarkers : section A of Disease markers

Publisher: IOS Press

ISSN (Electronic): 1875-8592

ISSN (Print): 1574-0153

Publication date (Electronic): 2020

Volume: 27

Issue: 1

Affiliations

[1 ] Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210006, China.

[2 ] Department of Plastic Surgery, The 960th Hospital of the PLA Joint Logistic Support Force, Jinan, Shandong 250000, China.

Article

Publisher Item ID: CBM190380

DOI: 10.3233/CBM-190380

PubMed ID: 31658045

SO-VID: 868233a3-df97-4980-abbe-1f1b06f50008

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Keywords: progress free survival,prognostic model,deep learning,autoencoder,Machine learning

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Keywords: progress free survival, prognostic model, deep learning, autoencoder, Machine learning

Deep learning-based model for predicting progression in patients with head and neck squamous cell carcinoma.

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