Using Python Programming For Assessing And Solving Health Management Issues

Loku, Lindita and Fetaji, Bekim and Krstev, Aleksandar and Fetaji, Majlinda and Zdravev, Zoran (2020) Using Python Programming For Assessing And Solving Health Management Issues. South East European Journal of Sustainable Development, 4 (1). ISSN 2545-4463

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In general , data analytics and data science have changed the way we treat, analyze and exploit information
in every field. Healthcare is one of the most exciting fields where it can be implemented to make a
difference. One of the most advantageous facets of healthcare is type 2 diabetes analytics. Healthcare
analytics have the ability to minimize medical costs, handle resources better, and forecast shortages.
Therefore, the research focuses on the treatment of health conditions with an emphasis on type 2 diabetes
and explores a model for improved management. Predictive models can make human decisions more
productive and make an entire decision-making process more highly automated. The automation of the
healthcare industry is moving toward processing and accessing vast health records for study, and this will
improve the healthcare in general. The Artificial Neural Network (ANN) model was evaluated, adapted
from Sristava and further developed by adding and evaluating the attributes with additional impact factors.
There is debate and argumentation of perspectives, advice and guidance.

Item Type: Article
Subjects: Natural sciences > Computer and information sciences
Divisions: Faculty of Computer Science
Depositing User: Aleksandar Velinov
Date Deposited: 04 Feb 2021 09:12
Last Modified: 04 Feb 2021 09:12

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