Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data

Cancer statistics, 2019

(2019) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Interpreting Oncology Care Model Data to Drive Value-Based Care: A Prostate Cancer Analysis

(2019) Ronald D. Ennis et al.   Journal of Oncology Practice

Modeling Health Care Expenditures and Use

(2018) Partha Deb et al.   Annual Review of Public Health

Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study

(2017) Suzanne Tamang et al.   BMJ Open

Statistically reinforced machine learning for nonlinear patterns and variable interactions

(2017) Masahiro Ryo et al.   Ecosphere

Predicting Future High-Cost Schizophrenia Patients Using High-Dimensional Administrative Data

(2017) Yajuan Wang et al.   Frontiers in Psychiatry

Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards

(2016) Matthew M. Churpek et al.   CRITICAL CARE MEDICINE

Random forests for genomic data analysis

(2012) Xi Chen et al.   GENOMICS

Projections of the Cost of Cancer Care in the United States: 2010-2020

(2011) A. B. Mariotto et al.   JNCI-Journal of the National Cancer Institute

Review of statistical methods for analysing healthcare resources and costs

(2010) Borislava Mihaylova et al.   HEALTH ECONOMICS