Machine Learning for Brain Stroke: A Review

سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: فارسی
مشاهده: 179

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شناسه ملی سند علمی:

COMCONF09_031

تاریخ نمایه سازی: 14 آذر 1401

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.

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