A review on current advances in machine learning based diabetes prediction
• Overview of diverse machine learning techniques that can help in rapid automatic prediction of diabetes. • Data mining techniques for classification of efficient and effective diabetes diagnoses. • Better prediction of disease and improve in understanding the pattern of diabetes. • Existing method...
| Veröffentlicht in: | A pilot randomized controlled trial examining the feasibility, acceptability, and efficacy of Adapted Motivational Interviewing for post-operative bariatric surgery patients. - 2016. - Amsterdam [u.a.] |
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| 1. Verfasser: | |
| Weitere Verfasser: | , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | A pilot randomized controlled trial examining the feasibility, acceptability, and efficacy of Adapted Motivational Interviewing for post-operative bariatric surgery patients |
| Schlagworte: | Apriori Algorithm Machine learning Diabetes Artificial neural network SVM Back propagation algorithm Bayesian network |
| Umfang: | 9 |
| Zusammenfassung: | • Overview of diverse machine learning techniques that can help in rapid automatic prediction of diabetes. • Data mining techniques for classification of efficient and effective diabetes diagnoses. • Better prediction of disease and improve in understanding the pattern of diabetes. • Existing methods need to be improvised tested on different datasets or peoples from different countries. |
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| Beschreibung: | 9 |
| DOI: | 10.1016/j.pcd.2021.02.005 |