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Transforming Public Health with Integrated AI: A Statistical Outlook of Cardiovascular Wellness and Hypertension Control in Bangladesh

Students & Supervisors

Student Authors
Sudipto Kumar Chakrabarty
Bachelor of Science in Computer Science & Engineering, FST
Susmita Mitra
Bachelor of Science in Computer Science & Engineering, FST
Arnob Debnath
Bachelor of Science in Computer Science & Engineering, FST
Sandiya Akter Boby
Bachelor of Science in Computer Science & Engineering, FST
Supervisors
Md. Mortuza Ahmmed
Associate Professor, Faculty, FST

Abstract

In today's world, digital technology and integrated AI have taken public health to another level. Therefore, this study aims to examine the last 10 years (2014-2023) to find out how people become aware of health risks through the integrated AI, and how public health transforms the traditional method to a digital approach. This study uses a quantitative approach, and a time series dataset spanning 2000-2023 was constructed using secondary data collected from reputable sources like the World Health Organization (WHO), Bangladesh Bureau of Statistics (BBS), etc. This dataset gives information about the CVD as % of Total Deaths, under treatment, Controlled BP, Internet Users, AI-enabled health Pilots, Telemedicine Platforms, Govt health Spending on Digital Health, and NCD Screening Camps Using Digital Tools. Various statistical approaches, such as descriptive statistics, trend analysis, and correlation, have been employed to analyze the variables. The findings suggest that day by day, CVD as % total deaths and HP increase, but also Under Treatment and Control BP percentage increase. It indicates that people become aware and want to control this. On the other hand, there are strong correlations between the AI health pilot and the Telemedicine platform, r = 1.00. It suggests that the Telemedicine platform increased effectiveness as AI-based health projects become more active. This study shows that the integration of digital technologies and AI significantly affects the public health sector. Statistical evaluation underscores the possible influence of AI on the advancement of healthcare and policy formulation.

Keywords

Artificial Intelligence AI in Healthcare Heart Health Blood Pressure Management Transformation in Public Health

Publication Details

  • Type of Publication:
  • Conference Name: 7th International Conference on Integrated Sciences (ICIS) 2025
  • Date of Conference: 25/10/2025 - 25/10/2025
  • Venue: Eastern University Campus, Ashulia Model Town, Dhaka, Bangladesh.
  • Organizer: Eastern University, Bangladesh
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