[PDF][PDF] Integrative Approaches in Acute Ischemic Stroke: From Symptom Recognition to Future Innovations. Biomedicines 2023, 11, x

VM Saceleanu, C Toader, H Ples… - 2023 - researchgate.net
Among the high prevalence of cerebrovascular diseases nowadays, acute ischemic stroke
stands out, representing a significant worldwide health issue with important socio-economic …

Deep Learning for Brain Stroke Disease Management: A Mapping Study

A Barouhou, L Benhlima, S Bah, H Elmaghraoui… - … on Automatic Control …, 2023 - Springer
The origin of the word “stroke” is based on the concept of receiving a sudden blow or impact,
which reflects how quickly the symptoms of this illness can appear-people can be suddenly …

Machine Learning Predicts Cerebral Vasospasm in Subarachnoid Hemorrhage Patients

D Zarrin, A Suri, K McCarthy, B Gaonkar, B Wilson… - 2024 - researchsquare.com
Background Cerebral vasospasm (CV) is a feared complication occurring in 20-40% of
patients following subarachnoid hemorrhage (SAH) and is known to contribute to delayed …

Role of Artificial Intelligence in Brain Stroke Management: A survey

SK Bhatia, S Goyal, TS Arora… - 2023 2nd Edition of …, 2023 - ieeexplore.ieee.org
Deep Learning (DL) and Machine Learning (ML) are the key subsets of Artificial Intelligence
that have evolved into an important tool in healthcare settings. Brain stroke management is …

A genetic algorithm based federated learning model for stroke risk prediction

P Visvanathan, PM Durai Raj Vincent - Journal of Intelligent & Fuzzy … - content.iospress.com
A Stroke is a sudden loss of blood circulation in certain parts of the brain that results in a loss
of neurological function. To save a patient from stroke, an immediate diagnosis and …

International School of Management, Karlstraße 35, 80333 Munich, Germany andreas. widenhorn@ ism. de Experteer, Lenbachpl. 3, 80333 Munich, Germany

A Widenhorn, PS Gaawar - … S-BPM ONE 2023, Rostock, Germany …, 2023 - books.google.com
When Abstract." Efficiency is doing better what is already being done “economist Peter
Drucker came up with this quote, the world was largely unaffected by machine learning (ML) …

[PDF][PDF] Stroke Prediction by Deploying Predictive Models on Fog Devices

N Razzaq - 2023 - thesis.cust.edu.pk
The rural regions of Pakistan lack healthcare services and many a times people have to
travel a long way to get proper health-related treatment. In such situation, health monitoring …

DIFERENCIAS DE GÉNERO EN LA PRESENTACIÓN DE ICTUS Y TRIAJE EN URGENCIAS

Z Torres Rodríguez - 2024 - burjcdigital.urjc.es
El objetivo de esta revisión es valorar las diferencias de género en la identificación de ictus
en el triaje realizado por los profesionales de enfermería, qué herramientas se usan y cómo …

ПРОГНОЗУВАННЯ РИЗИКУ НАСТАННЯ ІНСУЛЬТУ ЗА ДОПОМОГОЮ ОБРОБКИ НЕЗБАЛАНСОВАНИХ ДАНИХ

М Жиляк, О Городецька - Біомедична інженерія і технологія, 2023 - biomedtech.kpi.ua
Анотація У контексті медичної науки, інсульт залишається однією з провідних причин
смертності та інвалідності, що ставить високі вимоги до ефективності його діагностики …

Stroke Prediction Using Machine Learning

N Patil, A Sumarsono - Journal of Research in Engineering and …, 2024 - hspublishing.org
Stroke, a cerebrovascular event, represents a significant global health concern due to its
substantial impact on morbidity and mortality. It occurs when there is a sudden interruption …