Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach
- 6 May 2020
- journal article
- research article
- Published by Elsevier in Artificial Intelligence in Medicine
- Vol. 105, 101847
- https://doi.org/10.1016/j.artmed.2020.101847
Abstract
No abstract availableKeywords
This publication has 40 references indexed in Scilit:
- Multiple instance learning for classification of dementia in brain MRIMedical Image Analysis, 2014
- Beta Cell Dysfunction and Insulin ResistanceFrontiers in Endocrinology, 2013
- Insulin Resistance and Type 2 DiabetesDiabetes, 2012
- The Product of Triglycerides and Glucose, a Simple Measure of Insulin Sensitivity. Comparison with the Euglycemic-Hyperinsulinemic ClampJournal of Clinical Endocrinology & Metabolism, 2010
- Quantifying the duration of pre‐diabetesAustralian and New Zealand Journal of Public Health, 2010
- Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetesBMC Medical Informatics and Decision Making, 2010
- Pattern classification with missing data: a reviewNeural Computing & Applications, 2009
- The Product of Fasting Glucose and Triglycerides As Surrogate for Identifying Insulin Resistance in Apparently Healthy SubjectsMetabolic Syndrome and Related Disorders, 2008
- Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)The Annals of Statistics, 2000
- Solving the multiple instance problem with axis-parallel rectanglesArtificial Intelligence, 1997