SURVEY OF THE DEVELOPMENT PROCESSES AND EVOLUTION OF THE INTERNATIONAL CLASSIFICATION OF DISEASES

Abstract

The International Classification of Diseases (ICDs) has a global application in epidemiological research, health administration, and diagnostic studies. The ICD is a classification system within the healthcare system, developed and endorsed by the World Health Organization (WHO) to provide a comprehensive range of diagnostic codes for categorizing diseases. It encompasses exhaustive classifications of diverse indications, manifestations, abnormal findings, grievances, societal circumstances, and extrinsic factors contributing to injury or illness. This system relied entirely on clinical data sets that are collected by officials, on the basis of which the International Classification of Diseases is coded for many purposes such as billing systems, determining the type of disease, and the types of treatments used. Recently, what is known as the electronic health record system appeared to be adopted in writing clinical notes, which led researchers to integrate modern technology in Natural Language Processing in addition to Machine Learning and deep learning techniques to code the International Classification of Diseases in a more effective and accurate way. The factors mentioned helped shed more light on the importance of this system, its objectives, and the developments that have been made on it since its inception. and also led us in this paper to conduct a comprehensive survey on the latest technologies prepared by researchers in the field of classification and coding of diseases and what are the processes that have been adopted in this regard.

Keywords

• International Classification of Diseases (ICDs)
• Epidemiological researches
• Tenth revision
• Clinical modification
• ICD-based AI.

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