A Machine Learning (ML) Model to Predict Diseases based on Symptoms
The several prominent data mining methods in a variety of real-world application areas have resulted in the use of machine learning environments, to extract useful content from specified data in hospitals and provided to doctors for better result and decisions. The benefits of healthcare data in ear...
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Veröffentlicht in: | NeuroQuantology 2022-01, Vol.20 (7), p.1773 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The several prominent data mining methods in a variety of real-world application areas have resulted in the use of machine learning environments, to extract useful content from specified data in hospitals and provided to doctors for better result and decisions. The benefits of healthcare data in early disease prediction and follow-up care will be realized. Machine learning algorithms have been widely applied in a variety of applications, including disease prediction. The goal of developing a classifier system that employs machine learning techniques is to greatly assist doctors to direct patients in detecting and treating diseases at an early stage, which will greatly aid in the resolution of healthrelated issues. |
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ISSN: | 1303-5150 |
DOI: | 10.14704/nq.2022.20.7.NQ33223 |