Understanding current states of machine learning approaches in medical informatics: a systematic literature review
- 14 March 2021
- journal article
- review article
- Published by Springer Science and Business Media LLC in Health and Technology
- Vol. 11 (3), 471-482
- https://doi.org/10.1007/s12553-021-00538-6
Abstract
No abstract availableKeywords
This publication has 70 references indexed in Scilit:
- Comparison of Machine Learning Approaches for Prediction of Advanced Liver Fibrosis in Chronic Hepatitis C PatientsIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017
- Medical diagnosis of Rheumatoid Arthritis using data driven PSO–FCM with scarce datasetsNeurocomputing, 2017
- Knowledge discovery in cardiology: A systematic literature reviewInternational Journal of Medical Informatics, 2017
- A machine learning-based framework to identify type 2 diabetes through electronic health recordsInternational Journal of Medical Informatics, 2016
- Using machine learning methods for predicting inhospital mortality in patients undergoing open repair of abdominal aortic aneurysmJournal of Biomedical Informatics, 2016
- A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categoriesJournal of Biomedical Informatics, 2016
- Interactive machine learning for health informatics: when do we need the human-in-the-loop?Brain Informatics, 2016
- Developing search strategies for detecting relevant experimentsEmpirical Software Engineering, 2008
- Refining search terms for nanotechnologyJournal of Nanoparticle Research, 2007