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Nasiri, S., Zenkert, J. and Fathi, M. (2015) Medical Case-Based Reasoning Approach Using Image Classification and Text Information for Recommendation. In: Rojas, I., Joya, G. and Catala, A., Eds., Advances in Computational Intelligence, Lecture Notes in Computer Science Vol. 9095, Springer, Cham, 43-55.
https://doi.org/10.1007/978-3-319-19222-2_4

has been cited by the following article:

• TITLE: A Case-Based Reasoning System for Aiding Physicians in Decision Making

  AUTHORS: Venkata A. Paruchuri, Bobby C. Granville

  KEYWORDS: Case-Based Reasoning, CBR, Medicine, Recommendation

  JOURNAL NAME: Intelligent Information Management, Vol.12 No.2, February 25, 2020

  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.