Deep survival analysis using pseudo values and its application to predict the recurrence of stage IV colorectal cancer after tumor resection

Violations of proportional hazard assumption in Cox regression model of transcriptomic data in TCGA pan-cancer cohorts

(2022) Zihang Zeng et al.   Computational and Structural Biotechnology Journal

Diagnosis and Treatment of Metastatic Colorectal Cancer

(2021) Leah H. Biller et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study

(2021) Bogdan Badic et al.   EUROPEAN RADIOLOGY

The Application of Deep Learning in Cancer Prognosis Prediction

(2020) Wan Zhu et al.   Cancers

Cancer burden of major cancers in China: A need for sustainable actions

(2020) Maomao Cao et al.   Cancer Communications

Deep learning‐based survival analysis for brain metastasis patients with the national cancer database

(2020) Noah Bice et al.   Journal of Applied Clinical Medical Physics

Explainable AI: A Review of Machine Learning Interpretability Methods

(2020) Pantelis Linardatos et al.   Entropy

A deep survival analysis method based on ranking

(2019) Bingzhong Jing et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep learning-based survival prediction of oral cancer patients

(2019) Dong Wook Kim et al.   Scientific Reports

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

(2018) Jared L. Katzman et al.   BMC Medical Research Methodology

Nomogram Predicting Survival After Recurrence in Patients With Stage I to III Colon Cancer

(2018) Kazushige Kawai et al.   DISEASES OF THE COLON & RECTUM

Correction: The effect of epidural analgesia on cancer progression in patients with stage IV colorectal cancer after primary tumor resection: A retrospective cohort study

(2018) Ying-Hsuan Tai et al.   PLoS One

Individualized prediction of risk of metachronous peritoneal carcinomatosis from colorectal cancer

(2014) J. Segelman et al.   Colorectal Disease

Regression shrinkage and selection via the lasso: a retrospective

(2011) Robert Tibshirani   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

SAS and R functions to compute pseudo-values for censored data regression

(2008) John P. Klein et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE