Mehmet Cihan SAKMAN, Talip ZENGİN, Deniz KURŞUN, Tuğba SÜZEK

A PERSONALIZED ONCOLOGY MOBILE APPLICATION INTEGRATING CLINICAL AND GENOMIC FEATURES TO PREDICT THE RISK STRATIFICATION OF LUNG CANCER PATIENTS VIA MACHINE LEARNING

A PERSONALIZED ONCOLOGY MOBILE APPLICATION INTEGRATING CLINICAL AND GENOMIC FEATURES TO PREDICT THE RISK STRATIFICATION OF LUNG CANCER PATIENTS VIA MACHINE LEARNING

Mugla Journal of Science and Technology

2022-Cilt: 8 - Sayı: 2

90-99

Machine learning, lung adenocarcinoma, lung squamous cell carcinoma, prognosis prediction model, the cancer genome atlas, multi-omics, data integration, electronic health records, Machine learning, lung adenocarcinoma, lung squamous cell carcinoma, prognosis prediction model, the cancer genome atlas, multi-omics, data integration, electronic health records

electronic health records, Machine learning, lung adenocarcinoma, lung squamous cell carcinoma, prognosis prediction model, the cancer genome atlas, multi-omics, data integration

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