چکیده مقاله
Machine learning ML offers a quick and accurate prediction result, and it has developed into a potent tool in healthcare settings, providing stroke patients with individualized therapeutic care Although there is a definite need for study, some research fields are not receiving adequate attention for scientific exploration despite the expanding use of ML and Deep Learning in healthcare Therefore, the purpose of this work is to carefully review papers for each category after classifying state of the art ML approaches for brain stroke into four groups based on their functionalities or similarities The current study highlights the value of various ML techniques used in brain stroke
کلیدواژهها
نویسندگان
Farzane Tajidini
Tabarestan University of Chalus, Chalus, Iran
Raziye Mehri
Deputy of Research and Technology, Ardabil University of Medical Sciences, Ardabil, Iran ۳ Department of Community Medicine, Faculty of Medicine, Ardabil University of Medical Science, Ardabil, Iran
شیوه ارجاع
Tajidini، Farzane و Mehri، Raziye،1401،Machine Learning for Brain Stroke: A Review،نهمین کنگره ملی تازه های مهندسی برق و کامپیوتر ایران،تهران
ارائهشده در
یازدهمین کنگره ملی مهندسی برق و کامپیوتر ایران با تاکید بر فن آوری های بومی ایران20 بهمن 1405 تا 21 بهمن 1405 · تهران