Analyses of Diabetes Data and its Data Analytics Perspectives of Usage in the Health System in Kosovo

2019 ENTRENOVA Conference Proceedings´╗┐

8 Pages Posted: 10 Dec 2019

See all articles by Lindita Loku

Lindita Loku

Computer Sciences, University Goce Delcev Stip

Bekim Fetaji

Faculty of Informatics, University Mother Teresa, Skopje, Macedonia

Aleksandar Krstev

Computer Sciences, University Goce Delcev Stip

Majlinda Fetaji

South East European University (SEEU) - Computer Sciences

Zoran Zdravev

Computer Sciences, University Goce Delcev Stip

Date Written: September 12, 2019

Abstract

The focus of the research study is to investigate and analyses the current data processing and analytics issues in health focusing in diabetes data order to make sense of the data and use it to improve the health system. Within the investigation of the set of data from the ministry of health of Kosovo realised several types of analyses using different software tools. The current main challenge is to efficiently translate science into modern medicine that is limited by our capacity to process and understand these data. So, it is obviously needed to devise new mathematical as well as computational model with the ability to analyse Data. This will help the clinicians to retrieve useful information and then accurately diagnose and treat patients to improve patient outcomes. Scientist as well as medicine workers should become more aware and understand the value of Data analytics in providing valuable insights. Data, derived by patients and consumers, also requires analytics to become actionable. Based on the above results and test of homogeneity we assume that the first group Insuline M will in the future retain higher rate with a standard deviation of .176 compared with the first group Insuline R. This gives as opportunity to predict the management of diabetes for the next years where we can conclude that group 1 will continue to prevail and require more special treatment compared with group 2. Insights are provided as well as arguments and discussed the benefits from the study.

Keywords: diabetes, data processing, machine learning, computational model, data analytics

JEL Classification: A31

Suggested Citation

Loku, Lindita and Fetaji, Bekim and Krstev, Aleksandar and Fetaji, Majlinda and Zdravev, Zoran, Analyses of Diabetes Data and its Data Analytics Perspectives of Usage in the Health System in Kosovo (September 12, 2019). 2019 ENTRENOVA Conference Proceedings´╗┐, Available at SSRN: https://ssrn.com/abstract=3490082 or http://dx.doi.org/10.2139/ssrn.3490082

Lindita Loku (Contact Author)

Computer Sciences, University Goce Delcev Stip ( email )

Bekim Fetaji

Faculty of Informatics, University Mother Teresa, Skopje, Macedonia ( email )

Aleksandar Krstev

Computer Sciences, University Goce Delcev Stip ( email )

Majlinda Fetaji

South East European University (SEEU) - Computer Sciences ( email )

Totovo
Macedonia

Zoran Zdravev

Computer Sciences, University Goce Delcev Stip ( email )

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