Abstract
Physicians gather a vast amount of information about patients’ medical procedures, treatments, insurance coverage, and other clinical data. Such information is crucial in formulating diagnosis or treatment plans for patients with similar traits. A Case-Based Reasoning (CBR) system has been developed to address the effective organization and retrieval of vital patient information to aid physicians in making decisions. Integers are used to uniquely represent various medical procedures, treatments, etc. In this research, a new algorithm is presented to retrieve suitable cases to recommend to physicians. The system is tested in a simulated environment and the results prove that the system can adapt to changes such as new medical procedures or treatments that take place in the medical field.
Highlights
Treatment facilities accumulate an enormous amount of patient data every single day
The system is tested in a simulated environment and the results prove that the system can adapt to changes such as new medical procedures or treatments that take place in the medical field
Such data includes but is not limited to 1) the nature of illnesses, 2) medical procedures patients underwent, 3) insurance coverage the patients had at various times, 4) time gaps between various events such as the time gap between visits to physicians, and 5) other details such as age, gender, date, and race
Summary
How to cite this paper: Paruchuri, V.A. and Granville, B.C. (2020) A Case-Based Reasoning System for Aiding Physicians in Decision Making. How to cite this paper: Paruchuri, V.A. and Granville, B.C. (2020) A Case-Based Reasoning System for Aiding Physicians in Decision Making. Received: January 15, 2020 Accepted: February 22, 2020 Published: February 25, 2020
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