Comparing different supervised machine learning algorithms for disease prediction
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparing different supervised machine learning algorithms for disease prediction
Authors
Keywords
-
Journal
BMC Medical Informatics and Decision Making
Volume 19, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-12-21
DOI
10.1186/s12911-019-1004-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started