Clinical Outcome Future Prediction with Decision Tree and Naive Bayes Models

S. Veena; D. Sumanth Reddy; C. Lakshmi Kara; K.A. Uday Kiran

doi:10.4028/p-9dze59

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HomeAdvances in Science and TechnologyAdvances in Science and Technology Vol. 124Clinical Outcome Future Prediction with Decision...

Clinical Outcome Future Prediction with Decision Tree and Naive Bayes Models

Abstract:

Clinical decision-making in health care is even now inspired by data-driven computer forecasts or suggestions. A range of machine learning functions has recently been shown in clinical works, particularly for result prediction patterns spanning from humanity to stroke. We investigate the state of the art in relevant subjects such as data point treatment, interpretation, and simulation assessment in the framework of outcome prediction models improved utilizing data as automated health data. We also look at the flaws in widely used modeling assumptions and offer suggestions for further research

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Periodical:

Advances in Science and Technology (Volume 124)

Pages:

590-593

DOI:

https://doi.org/10.4028/p-9dze59

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Online since:

February 2023

Authors:

S. Veena*, D. Sumanth Reddy, C. Lakshmi Kara, K.A. Uday Kiran

Keywords:

Clinical Outcome, Health Care, Machine Learning, Prediction

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