Multiple Disease Prediction Using ML
Alok Katiyar1, Sajid Ali2, Sameer Ray3
1Dr. Alok Katiyar, Professor, Department of CSE, Galgotias University Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India.
2Sajid Ali, Student, Department of CSE, Galgotias University Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India.
3Sameer Ray, Student, Department of CSE, Galgotias University Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India.
Manuscript received on 27 March 2023 | Revised Manuscript received on 04 April 2023 | Manuscript Accepted on 15 May 2023 | Manuscript published on 30 May 2023 | PP: 15-18 | Volume-12 Issue-1, May 2023 | Retrieval Number: 100.1/ijrte.A75680512123 | DOI: 10.35940/ijrte.A7568.0512123
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Accurate and on-time analysis of any health-related drawback is vital for the interference and treatment of the sickness. The normal method of diagnosing might not be sufficient within the case of a significant illness. Developing a medical diagnosing system supported machine learning (ML) algorithms for prediction of any unwellness will facilitate during a lot of correct diagnosis than the standard methodology. We’ve designed a disease prediction system using ML. Disease Prediction System using Machine Learning could be a system that predicts the sickness supported data or symptoms that he/she enter into the system and gives correct results supported that data. This predictive disease using Machine Learning is completed entirely with the assistance of Learning Machines and Python programing language with its Flask Interface and mistreatment antecedently offered databases with hospitals that use that we’ll predict the unwellness.
Keywords: Machine Learning, Disease Prediction, Decision Tree, Random Forest, Symptoms.
Scope of the Article: Machine Learning