Optimizing Diabetes Care Through Fuzzy Rule-Based Models and Machine Learning Algorithms

Reliable medical decision-making is crucial for early disease diagnosis, particularly for diabetes, which can lead to severe health complications if untreated. The availability of diverse healthcare datasets enables the integration of computer applications in medical diagnostics. However, many datas...

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Veröffentlicht in:	International Conference for Emerging Technology (Online) S. 1 - 5
Hauptverfasser:	Mishra, Debaswapna, Behera, Bichitrananda, Patnaik, Sanghamitra, Gourisaria, Mahendra Kumar, Pattnayak, Parthasarathi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 23.05.2025
Schlagworte:	Accuracy Decision making Diabetes fuzzy Fuzzy logic Machine learning algorithms Medical diagnosis Medical diagnostic imaging prediction Random forests Stacking supervised machine learning T2DM Uncertainty
ISBN:	9798331518738
ISSN:	2996-4490
Online-Zugang:	Volltext
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