Cardiovascular/stroke risk stratification in Parkinson's disease patients using atherosclerosis pathway and artificial intelligence paradigm: a systematic review
Parkinson's disease (PD) is a severe, incurable, and costly condition leading to heart failure.
The link between PD and cardiovascular disease (CVD) is not available, leading to …
The link between PD and cardiovascular disease (CVD) is not available, leading to …
[HTML][HTML] A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach
Stroke is the third leading cause of death in the world. It is a dangerous health disorder
caused by the interruption of the blood flow to the brain, resulting in severe illness, disability …
caused by the interruption of the blood flow to the brain, resulting in severe illness, disability …
A review of diagnostic strategies for pulmonary embolism prediction in computed tomography pulmonary angiograms
Pulmonary Embolism (PE) occurs when blood clots travel to the lungs from different parts of
the body. It is amongst the most lethal cardio-respiratory diseases after stroke and heart …
the body. It is amongst the most lethal cardio-respiratory diseases after stroke and heart …
[PDF][PDF] Research methods in machine learning: A content analysis
Research methods in machine learning play a pivotal role since the accuracy and reliability
of the results are influenced by the research methods used. The main aims of this paper …
of the results are influenced by the research methods used. The main aims of this paper …
A machine learning approach to detect the brain stroke disease
The brain, which comprises the cerebrum, cere-bellum, and brainstem and is covered by the
skull, is a very complex and intriguing organ in the human body. Stroke is the world's second …
skull, is a very complex and intriguing organ in the human body. Stroke is the world's second …
A hybrid system to predict brain stroke using a combined feature selection and classifier
P Bathla, R Kumar - Intelligent Medicine, 2024 - mednexus.org
Background Brain stroke is a serious health issue that requires timely and accurate
prediction for effective treatment and prevention. This study described a hybrid system that …
prediction for effective treatment and prevention. This study described a hybrid system that …
Deep learning and machine learning for early detection of stroke and haemorrhage
Stroke and cerebral haemorrhage are the second leading causes of death in the world after
ischaemic heart disease. In this work, a dataset containing medical, physiological and …
ischaemic heart disease. In this work, a dataset containing medical, physiological and …
[HTML][HTML] A forecasting approach for hospital bed capacity planning using machine learning and deep learning with application to public hospitals
Y Mahmoudian, A Nemati, AS Safaei - Healthcare Analytics, 2023 - Elsevier
Abstract Hospital Bed Capacity (HBC) planning affects economic and social sustainability in
healthcare through bed capacity efficiency and medical treatment accessibility …
healthcare through bed capacity efficiency and medical treatment accessibility …
Innovative visualization approach for biomechanical time series in stroke diagnosis using explainable machine learning methods: A proof-of-concept study
Stroke remains a predominant cause of mortality and disability worldwide. The endeavor to
diagnose stroke through biomechanical time-series data coupled with Artificial Intelligence …
diagnose stroke through biomechanical time-series data coupled with Artificial Intelligence …
Unveiling the potential of machine learning approaches in predicting the emergence of stroke at its onset: a predicting framework
SL JM, SP - Scientific Reports, 2024 - nature.com
A stroke is a dangerous, life-threatening disease that mostly affects people over 65, but an
unhealthy diet is also contributing to the development of strokes at younger ages. Strokes …
unhealthy diet is also contributing to the development of strokes at younger ages. Strokes …