Comparing different supervised machine learning algorithms for disease prediction

Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies

(2018) Lal Hussain et al.   Cancer Biomarkers

Detection of genetic cardiac diseases by Ca2+ transient profiles using machine learning methods

(2018) Martti Juhola et al.   Scientific Reports

Predicting the Risk of Heart Failure With EHR Sequential Data Modeling

(2018) Bo Jin et al.   IEEE Access

Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach

(2017) Hend Mansoor et al.   HEART & LUNG

Prediction of lung cancer patient survival via supervised machine learning classification techniques

(2017) Chip M. Lynch et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Disease Prediction by Machine Learning Over Big Data From Healthcare Communities

(2017) Min Chen et al.   IEEE Access

Machine Learning and Data Mining Methods in Diabetes Research

(2017) Ioannis Kavakiotis et al.   Computational and Structural Biotechnology Journal

Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function

(2016) Vahid Taslimitehrani et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Non-invasive detection of fasting blood glucose level via electrochemical measurement of saliva

(2016) Sarul Malik et al.   SpringerPlus

A highly accurate firefly based algorithm for heart disease prediction

(2015) Nguyen Cong Long et al.   EXPERT SYSTEMS WITH APPLICATIONS

Type 2 Diabetes Biomarkers of Human Gut Microbiota Selected via Iterative Sure Independent Screening Method

(2015) Lihua Cai et al.   PLoS One

Social Networks Enabled Coordination Model for Cost Management of Patient Hospital Admissions

(2014) Mohammed Shahadat Uddin et al.   Journal for Healthcare Quality

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2013) David Moher   ANNALS OF INTERNAL MEDICINE

Comparison of Prediction Model for Cardiovascular Autonomic Dysfunction Using Artificial Neural Network and Logistic Regression Analysis

(2013) Zi-Hui Tang et al.   PLoS One

Predictive models to assess risk of type 2 diabetes, hypertension and comorbidity: machine-learning algorithms and validation using national health data from Kuwait—a cohort study

(2013) Bassam Farran et al.   BMJ Open

An efficient diagnosis system for detection of Parkinson’s disease using fuzzy k-nearest neighbor approach

(2012) Hui-Ling Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparison of regression methods for remote tracking of Parkinson’s disease progression

(2011) Ömer Eskidere et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time to CARE: a collaborative engine for practical disease prediction

(2009) Darcy A. Davis et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Comparison of Logistic Regression and Artificial Neural Network Models in Breast Cancer Risk Estimation

(2009) Turgay Ayer et al.   RADIOGRAPHICS

Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses

(2007) Matthew E. Falagas et al.   FASEB JOURNAL