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Disease Prediction Using Machine Learning (Health Buddy)
2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022 ; : 1003-1006, 2022.
Article in English | Scopus | ID: covidwho-1992620
ABSTRACT
This is a paper on disease prediction using machine learning through a python graphical user interface application. The motivation behind this application is the pandemic (Covid- Situation) faced by the whole world and also the idea to robotize the current manual framework of initial diagnosis by the assistance of mechanized supplies and undeniable PC programming so that their important information/data can be put away for a more drawn out period and also for a more useful purpose. This paper introduces the field of diseases prediction, the treatment for the disease, and consulting with the doctors nearby through efficient programming using machine learning. It describes the need for a system of an online artificial doctor, which will not only help them in predicting and understanding the diseases, but it will also advise them of certain medicines that are necessary for controlling or curing those diseases. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022 Year: 2022 Document Type: Article