TIBBIY TASHXISNI ANIQLASH JARAYONIDA KLASSIFIKATSIYA ALGORTIMIDAN FOYDALANISHNING TAHLILI.
Keywords:
Classification algorithms, medical diagnosis, artificial intelligence, data analysis, logistic regression, random forests, neural networks, machine learning, personalized medicine, diagnostic technology.Abstract
The use of contemporary artificial intelligence technology in the healthcare industry is examined in this article, particularly emphasizing the function of classification algorithms in diagnostic procedures. It thoroughly analyzes popular techniques like neural networks, logistic regression, random forests, K-nearest neighbors (KNN), and support vector machines (SVM). The results highlight how important classification algorithms are for enhancing medical diagnoses by facilitating accurate and individualized treatment plans. Researchers, developers, and medical practitioners who are interested in using artificial intelligence in healthcare procedures will find this article to be a useful resource.
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Copyright (c) 2025 Dildora Sotvoldiyeva, Sardorbek Karimov, Yahyobek Mehmonaliyev
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