Extensive review on the role of machine learning for multifactorial genetic disorders prediction
The culture of employing machine learning driven assistance and decision making is
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …
A novel CNN architecture for accurate early detection and classification of Alzheimer's disease using MRI data
Alzheimer's disease (AD) is a debilitating neurodegenerative disorder that requires accurate
diagnosis for effective management and treatment. In this article, we propose an architecture …
diagnosis for effective management and treatment. In this article, we propose an architecture …
Hippocampus segmentation-based Alzheimer's disease diagnosis and classification of mri images
Alzheimer's disease represents a neurological condition characterized by steady cognitive
decline and eventual memory loss due to the death of brain cells. It is one of the most …
decline and eventual memory loss due to the death of brain cells. It is one of the most …
Deep Learning for Alzheimer's Disease Prediction: A Comprehensive Review
Alzheimer's disease (AD) is a neurological disorder that significantly impairs cognitive
function, leading to memory loss and eventually death. AD progresses through three stages …
function, leading to memory loss and eventually death. AD progresses through three stages …
Explainable AI-based Alzheimer's prediction and management using multimodal data
Background According to the World Health Organization (WHO), dementia is the seventh
leading reason of death among all illnesses and one of the leading causes of disability …
leading reason of death among all illnesses and one of the leading causes of disability …
Classification of arrhythmia using machine learning techniques
R Saboori, AW Salehi, P Vaidya, G Gupta - Innovations in Information and …, 2021 - Springer
Arrhythmia and heart problems are one of the most important health problems in the whole
world which leads to various other severe complications, for example, heart attack. As …
world which leads to various other severe complications, for example, heart attack. As …
COVID-19: automated detection and monitoring of patients worldwide using machine learning
G Gupta, AW Salehi, B Sharma, N Kumar, Sonia… - Modeling, Control and …, 2022 - Springer
Novel COVID-19 or commonly known as Corona-Virus epidemic which was identified in Nov–
Dec 2019, needs special consideration due to its future outbreaks and a possible threat to …
Dec 2019, needs special consideration due to its future outbreaks and a possible threat to …
Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer's Disease Detection
Alzheimer's Disease (AD) poses a significant health risk globally, particularly among the
elderly population. Recent studies underscore its prevalence, with over 50% of elderly …
elderly population. Recent studies underscore its prevalence, with over 50% of elderly …
A review on leaf-based plant disease detection systems using machine learning
A Tomar, G Gupta, W Salehi, CH Vanipriya… - Recent Innovations in …, 2022 - Springer
Plant-based diseases such as Cork Spot, mildew, Black Rot, Apple Scab, pear blight, Frog
Eye Leaf Spot, Crown Rot and so on are the most common leaf diseases. It gives a hand …
Eye Leaf Spot, Crown Rot and so on are the most common leaf diseases. It gives a hand …
Dementia prediction with multimodal clinical and imaging data
NNBA Kubi, S Nazir - International Journal of Information Technology, 2024 - Springer
Dementia affects millions of people worldwide, and poses significant challenges due to its
irreversible nature and a lack of effective treatment options. Dementia has a considerable …
irreversible nature and a lack of effective treatment options. Dementia has a considerable …