مشخصات پژوهش

عنوان	بهبود پیش بینی بیماری آلزایمر با استفاده از روش های جمعی
نوع پژوهش	پایان نامه
کلیدواژه‌ها	تحلیل داده های بهداشتی، بیماری آلزایمر، مدل های پیش بینی، روش های جمعی، یادگیری ماشین و تشخیص بیماری.
چکیده	Alzheimer’s disease (AD) is a progressive neurological disorder that significantly impairs memory, thinking, and behavior, making it the most prevalent form of dementia affecting millions globally, especially the elderly. Early diagnosis is crucial for effective intervention; however, traditional diagnostic methods are often inadequate due to the complexity of symptoms. Recent advancements in artificial intelligence (AI) and machine learning (ML), particularly the Random Forest algorithm, show promise in improving diagnostic accuracy by analyzing extensive health data, including medical records, brain imaging, genetic information, and lifestyle factors. This research aims to develop a predictive model using Random Forest to identify key predictors of Alzheimer’s disease, enhancing early diagnosis and supporting healthcare professionals in making informed decisions. The study highlights the necessity for innovative approaches to address the growing challenge of Alzheimer’s disease, emphasizing the potential of AI-driven solutions to transform healthcare practices and improve patient outcomes through timely interventions.
پژوهشگران	زیاد طارق حسن الربیعی (دانشجو)، جلیل قویدل نیچران (استاد راهنما)، حسین عباسی مهر (استاد مشاور)