Using machine learning for mortality prediction and risk stratification in atezolizumab‐treated cancer patients: Integrative analysis of eight clinical trials

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets

(2021) Fabrizio D'Ascenzo et al.   LANCET

Cancer Immunotherapy Update: FDA-Approved Checkpoint Inhibitors and Companion Diagnostics

(2021) Julianne D. Twomey et al.   AAPS Journal

High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types

(2021) D.J. McGrail et al.   ANNALS OF ONCOLOGY

Neutrophil-to-Lymphocyte Ratio Predicts Development of Immune-Related Adverse Events and Outcomes from Immune Checkpoint Blockade: A Case-Control Study

(2021) Pei Yi Lee et al.   Cancers

Assessment of Classification Models and Relevant Features on Nonalcoholic Steatohepatitis Using Random Forest

(2021) Rafael García-Carretero et al.   Entropy

Outcomes Following Immune Checkpoint Inhibitor Treatment of Patients With Microsatellite Instability-High Cancers

(2020) Fausto Petrelli et al.   JAMA Oncology

Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men

(2020) Qing Wu et al.   CALCIFIED TISSUE INTERNATIONAL

Tumor Mutational Burden, Toxicity, and Response of Immune Checkpoint Inhibitors Targeting PD(L)1, CTLA-4, and Combination: A Meta-regression Analysis

(2020) Arsen Osipov et al.   CLINICAL CANCER RESEARCH

Patient‐reported outcomes as a prognostic marker of survival in patients with advanced nonsmall cell lung cancer treated with immunotherapy

(2020) Ashley M. Hopkins et al.   INTERNATIONAL JOURNAL OF CANCER

Machine learning based early warning system enables accurate mortality risk prediction for COVID-19

(2020) Yue Gao et al.   Nature Communications

Regulatory T cell control of systemic immunity and immunotherapy response in liver metastasis

(2020) James C. Lee et al.   Science Immunology

RAINFOREST: a random forest approach to predict treatment benefit in data from (failed) clinical drug trials

(2020) Joske Ubels et al.   BIOINFORMATICS

The Predictive Value of Programmed Death Ligand 1 in Patients with Metastatic Renal Cell Carcinoma Treated with Immune-checkpoint Inhibitors: A Systematic Review and Meta-analysis

(2020) Keiichiro Mori et al.   EUROPEAN UROLOGY

A nomogram for predicting survival and retroperitoneal lymph node dissection treatment in patients with resected testicular germ cell tumors

(2019) Yougen Wu et al.   JOURNAL OF SURGICAL ONCOLOGY

Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score

(2019) Márton Tokodi et al.   EUROPEAN HEART JOURNAL

Random forest versus logistic regression: a large-scale benchmark experiment

(2018) Raphael Couronné et al.   BMC BIOINFORMATICS

B cells as biomarkers: predicting immune checkpoint therapy adverse events

(2018) Shannon M. Liudahl et al.   JOURNAL OF CLINICAL INVESTIGATION

Development and validation of response markers to predict survival and pleurodesis success in patients with malignant pleural effusion (PROMISE): a multicohort analysis

(2018) Ioannis Psallidas et al.   LANCET ONCOLOGY

Immune-Related Adverse Events Associated with Immune Checkpoint Blockade

(2018) Michael A. Postow et al.   NEW ENGLAND JOURNAL OF MEDICINE

Survival outcome prediction in cervical cancer: Cox models versus deep-learning model

(2018) Koji Matsuo et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study

(2018) Chenxi Huang et al.   PLOS MEDICINE

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

(2016) Yan-qi Huang et al.   JOURNAL OF CLINICAL ONCOLOGY

PD-L1 (B7-H1) and PD-1 pathway blockade for cancer therapy: Mechanisms, response biomarkers, and combinations

(2016) Weiping Zou et al.   Science Translational Medicine

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

(2015) Karel G.M. Moons et al.   ANNALS OF INTERNAL MEDICINE

A Clinical Prediction Model to Assess Risk for Chemotherapy-Related Hospitalization in Patients Initiating Palliative Chemotherapy

(2015) Gabriel A. Brooks et al.   JAMA Oncology

Geriatric Factors Predict Chemotherapy Feasibility: Ancillary Results of FFCD 2001-02 Phase III Study in First-Line Chemotherapy for Metastatic Colorectal Cancer in Elderly Patients

(2013) Thomas Aparicio et al.   JOURNAL OF CLINICAL ONCOLOGY