NeuroHealth guardian: A novel hybrid approach for precision brain stroke prediction and healthcare analytics
Stroke is a severe illness, that requires early stroke detection and intervention, as this would
help prevent the worsening of the condition. The research is done to solve stroke prediction …
help prevent the worsening of the condition. The research is done to solve stroke prediction …
A reinforcement learning approach for reducing traffic congestion using deep Q learning
Nowadays, traffic congestion is a significant issue globally. The vehicle quantity has grown
dramatically, while road and transportation infrastructure capacities have yet to expand …
dramatically, while road and transportation infrastructure capacities have yet to expand …
Predictive analytics in mental health leveraging llm embeddings and machine learning models for social media analysis
A Radwan, M Amarneh, H Alawneh… - International Journal of …, 2024 - igi-global.com
The prevalence of stress-related disorders has increased significantly in recent years,
necessitating scalable methods to identify affected individuals. This paper proposes a novel …
necessitating scalable methods to identify affected individuals. This paper proposes a novel …
Cyber-Securing Medical Devices Using Machine Learning: A Case Study of Pacemaker
S Al-Juboori, S Jimoh - Journal of Informatics and Web …, 2024 - pearl.plymouth.ac.uk
This study aims to enhance the cybersecurity framework of pacemaker devices by identifying
vulnerabilities and recommending effective strategies. The objectives are to pinpoint …
vulnerabilities and recommending effective strategies. The objectives are to pinpoint …
Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models
K Moulaei, L Afshari, R Moulaei, B Sabet… - Scientific Reports, 2024 - nature.com
Failure to predict stroke promptly may lead to delayed treatment, causing severe
consequences like permanent neurological damage or death. Early detection using deep …
consequences like permanent neurological damage or death. Early detection using deep …
Enhancing Emergency Vehicle Detection: A Deep Learning Approach with Multimodal Fusion
Emergency vehicle detection plays a critical role in ensuring timely responses and reducing
accidents in modern urban environments. However, traditional methods that rely solely on …
accidents in modern urban environments. However, traditional methods that rely solely on …
Human Brain Stroke Prediction using Machine Learning Methods with Synthetic Minority Oversampling Approach
The brain is considered to be the principal anatomical component of the human body. A
stroke is a medical condition defined by cerebral injury that occurs as a consequence of …
stroke is a medical condition defined by cerebral injury that occurs as a consequence of …
A Novel Ensemble Framework for Breast Cancer Detection using Ultrasound Imaging and Advance Augmentation Techniques
K Kanwal, M Mujahid, A Shabir, S Raza… - STATISTICS …, 2024 - scir.wum.edu.pk
Breast cancer is a prominent form of cancer that is frequently detected and is a primary
cause of mortality in women. Healthcare organizations prefer to utilize ultrasound imaging …
cause of mortality in women. Healthcare organizations prefer to utilize ultrasound imaging …