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Table 1 Dataset description

From: A data-driven approach to a chemotherapy recommendation model based on deep learning for patients with colorectal cancer in Korea

Input Variables

 Demographics

Age, Sex, ASA, BMI, Smoking History

 Disease Characteristics

DM History, Pulmonary Disease, Liver Disease, Heart Disease, Kidney Disease

 Cancer Characteristics

Prior Cancer Diagnosis, Initial CEA, Perforation, Obstruction, Emergency, Lymphovascular Invasion, Perineural Invasion, Distal Resection Margin, Radial Margin, Radiotherapy, Harvested Lymph Node, Positive Lymph Node, Early Complication

 Tumor Characteristics

Hereditary Colorectal Tumor, Tumor Location (Pathology), Histologic Type, TNM Stage (Pathology)

 Genetic Characteristics

K-ras, N-ras, BRAF

 Treatment Characteristics

Postoperative Chemotherapy

 Oncologic Outcomes

Overall Survival, Recurrence

Target Variables

 Chemotherapy

Postoperative Chemotherapy Regimen

(5-FU/LV, XELODA, FOLFOX, FOLFIRI, Surveillance)