IIARD International Institute of Academic Research and Development

INTERNATIONAL JOURNAL OF HEALTH AND PHARMACEUTICAL RESEARCH (IJHPR )

E-ISSN 2545-5737
P-ISSN 2695-2165
VOL. 7 NO. 2 2022
DOI: 10.1007/s00500-023-

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Mitigating Pancreatic Cancer through Data-Driven AI Techniques, Holistic Health Record, iHELP and Integrative Systems

Vikram Pasupuleti, Lovina Inyang

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Abstract

Artificial intelligence (AI) continuously revolutionises various spheres of life. It is high time AI got well integrated into the health sector of all nations. Doing so would proffer tangible solutions to various health challenges. This study is informed by the need to find lasting or optimised solutions to cancers as well as other chronic health challenges. It posits that the increasing spate of cancer in contemporary times can be mitigated significantly through momentous integration of data- driven AI techniques, holistic health record (HHR), iHELP and integrative systems. It demonstrates that the integration of the aforementioned system enhances effective analysis and interpretation of complex data; provides a competitive edge in decisions on cancer and other health challenges; and allows for greater precision, efficiency, foresight, increased innovations, and informed strategies for mitigating pancreatic cancer and other types. The study concludes that cancer and other cardiovascular diseases can be reduced to the barest minimum through meaningful application of data-driven AI techniques, such as machine learning, deep learning, internet of things, HHR, and the proposed iHELP systems to medical practices capable of combating pancreatic cancer and other cardiovascular diseases. The study calls on stakeholders to ensure increased adoption of data-driven and integrative systems for the optimisation of healthcare services on pancreatic cancer, and for the attainment of best practices in the healthcare sector. Researchers are charged to variously investigate the subject matter of this present research and related ones for betterment and more discoveries.

keywords:

Mitigating, Cancer, Data-driven, AI techniques, Integrative systems

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