Abstract
Artificial intelligence is widely used in identifying human diseases and their treatments. Every day, millions of people get sick and receive treatments. However, there is no system that can accept the information related to the symptoms, diseases, timelines, medical procedures, and medications experienced by various people and use this information to recommend treatments and to predict possible future diseases to other similar people. The purpose of this research is to develop such a system. Case-based reasoning, which is a subfield of artificial intelligence, is used for this purpose. An algorithm is developed for this purpose. The system has been evaluated to determine its adaptability for change of trend in the field.
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Acknowledgments
The author is very much thankful to Dr. Bobby Granville and Dr. Bhanu Prasad from the Department of Computer and Information Sciences at Florida A&M University (FAMU) for all their help clarifying many questions in the areas of artificial intelligence and case-based reasoning. The author is also thankful to Mr. Samuel Pyne from the School of Business and Industry of FAMU for his help in conducting the experiments. The author is also thankful to Mrs. Latina Banks from the Department of Biology at FAMU for all her support and encouragement.
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Paruchuri, V.A. (2016). MED-HYREC: A Recommendation System for Medical Domain. In: Satapathy, S.C., Mandal, J.K., Udgata, S.K., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 434. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2752-6_59
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DOI: https://doi.org/10.1007/978-81-322-2752-6_59
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