Early prediction of chronic disease using an efficient machine learning algorithm through adaptive probabilistic divergence based feature selection approach

Research article (International Journal of Pervasive Computing and Communications, 2020) · cited 30× · AI/ML
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Early prediction of chronic disease using an efficient machine learning algorithm through adaptive probabilistic divergence based feature selection approach

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Early prediction of chronic disease using an efficient machine learning algorithm through adaptive probabilistic divergence based feature selection approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Early prediction of chronic disease using an efficient machine learning algorithm through adaptive probabilistic divergence based feature selection approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/early-prediction-of-chronic-disease-using-an-efficient-machine-learning-algorithm-through-adaptive-probabilistic-diverge
MLA “Early prediction of chronic disease using an efficient machine learning algorithm through adaptive probabilistic divergence based feature selection approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/early-prediction-of-chronic-disease-using-an-efficient-machine-learning-algorithm-through-adaptive-probabilistic-diverge.
BibTeX @misc{4ortxyz_early-prediction-of-chronic-disease-using-an-efficient-machine-learning-algorithm-through-adaptive-probabilistic-diverge_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Early prediction of chronic disease using an efficient machine learning algorithm through adaptive probabilistic divergence based feature selection approach}}, year = {2026}, url = {https://4ort.xyz/entity/early-prediction-of-chronic-disease-using-an-efficient-machine-learning-algorithm-through-adaptive-probabilistic-diverge}, note = {Accessed: 2026-05-24}}
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