Cardiovascular/stroke risk stratification in Parkinson's disease patients using atherosclerosis pathway and artificial intelligence paradigm: a systematic review

JS Suri, S Paul, MA Maindarkar, A Puvvula, S Saxena… - Metabolites, 2022 - mdpi.com
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 …

[HTML][HTML] A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach

N Biswas, KMM Uddin, ST Rikta, SK Dey - Healthcare Analytics, 2022 - Elsevier
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 …

A review of diagnostic strategies for pulmonary embolism prediction in computed tomography pulmonary angiograms

J Chillapalli, S Gite, B Saini, K Kotecha… - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

[PDF][PDF] Research methods in machine learning: A content analysis

J Kamiri, G Mariga - … of Computer and Information Technology (2279 …, 2021 - academia.edu
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 …

A machine learning approach to detect the brain stroke disease

B Akter, A Rajbongshi, S Sazzad… - … on Smart Systems …, 2022 - ieeexplore.ieee.org
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 …

Deep learning and machine learning for early detection of stroke and haemorrhage

ZG Al-Mekhlafi, EM Senan… - Computers …, 2022 - eprints.bournemouth.ac.uk
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 …

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 …

[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 …

Innovative visualization approach for biomechanical time series in stroke diagnosis using explainable machine learning methods: A proof-of-concept study

K Apostolidis, C Kokkotis, E Karakasis, E Karampina… - Information, 2023 - mdpi.com
Stroke remains a predominant cause of mortality and disability worldwide. The endeavor to
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 …