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Recommendation System of Dietary Patterns for Cardiovascular Disease Patients Using Decision Making Approach

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Advanced Informatics for Computing Research (ICAICR 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1075))

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Abstract

Cardio vascular disease can be described as any disorder that constrains the normal functioning of heart or blood vessels. Diseases such as heart disease, Angina, Myocardial Infraction, Arrhythmia all can be termed as cardio vascular disease. One of the most common and frightening term is heart failure. It does not mean “failure” of heart or heart has stopped working but the heart does not pump as well as it should. This retains salt and water which result in swelling and shortness of breath. Cardio Vascular Disease is primarily caused by Building-up-of fatty deposits inside the arteries or damage to arteries in brain, kidneys and eyes. Increased level of blood pressure, cholesterol, diabetes and weights leads to cardio vascular diseases in human body. In this paper work, our interest is to discover ideal diet recommendation plan for people with cardio vascular disease and to obtain this we are implementing Analytic Hierarchy Process (AHP). Ideal plan of diet recommendation for people with CVDs is recently discovered. The outcomes reveal ideal diet recommendation among the currently available ones for people with CVDs ailment. The diet consists of food items to be taken up at breakfast, lunch and dinner by CVDs patients. In order to justify our work we are implementing fuzzy method which uses preference order similar to absolute solutions. The outcomes justify our work with results using Analytic Hierarchy Process.

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Correspondence to Sanjay Kumar Dubey .

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Rai, G., Dubey, S.K. (2019). Recommendation System of Dietary Patterns for Cardiovascular Disease Patients Using Decision Making Approach. In: Luhach, A., Jat, D., Hawari, K., Gao, XZ., Lingras, P. (eds) Advanced Informatics for Computing Research. ICAICR 2019. Communications in Computer and Information Science, vol 1075. Springer, Singapore. https://doi.org/10.1007/978-981-15-0108-1_6

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  • DOI: https://doi.org/10.1007/978-981-15-0108-1_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0107-4

  • Online ISBN: 978-981-15-0108-1

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