Analysis on the Classification of Problems in the Medical and Health Field

Corresponding author: HouLi, hou.li@imicams.ac.cn

DOI: 10.12201/bmr.202312.00023

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  Abstract: Purpose/Significance Analyze the current state of development in the field of healthcare problem classification and provide insights for improving the performance of medical question-answering systems. Method/Process By synthesizing relevant literature in the field of medical and healthcare problem classification, this review summarizes existing classification systems, datasets, deep learning methods, evaluation criteria, and applications. It also analyzes future research directions and core scientific issues in the domain of medical and healthcare problem classification. Result/Conclusion Healthcare problem classification is instrumental in enhancing the understanding of issues, improving system performance, and delivering more efficient healthcare services. It holds significant importance for question-answering systems and services in the medical and healthcare domain.

  Key words: Problem classification; Question answering system; Medical health

  Submit time: 14 December 2023

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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