چکیده مقاله
Computer aided diagnosis CAD , a vibrant medical imaging research field, is expanding quickly Because errors in medical diagnostic systems might lead to seriously misleading medical treatments, major efforts have been made in recent years to improve computer aided diagnostics applications The use of machine learning in computer aided diagnosis is crucial A simple equation may result in a false indication of items like organs Therefore, learning from examples is a vital component of pattern recognition Pattern recognition and machine learning in the biomedical area promise to increase the precision of disease detection and diagnosis They also support the decision making process's objectivity Machine learning provides a practical method for creating elegant and autonomous algorithms to analyze high dimensional and multimodal bio medical data This review article examines machine learning algorithms for detecting diseases, including hepatitis, diabetes, liver disease, dengue fever, and heart disease It draws attention to the collection of machine learning techniques and algorithms employed in studying conditions and the ensuing decision making process
کلیدواژهها
نویسندگان
Farzaneh Tajdini
Department of Computer Engineering, Malek Ashtar University, Tehran, Iran
Mohammad-Javad kheiri
Department of Financial Management, Arak Branch, Islamic Azad University, Arak, Iran
شیوه ارجاع
Tajdini, Farzaneh and kheiri, Mohammad-Javad,1401,Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges,9th National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات نهمین کنگره ملی تازه های مهندسی برق و کامپیوتر ایران29 آبان 1401 · تهران