From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management

R Damaševičius, N Bacanin, S Misra - Journal of Sensor and Actuator …, 2023 - mdpi.com
The advancement in technology has led to the integration of internet-connected devices and
systems into emergency management and response, known as the Internet of Emergency …

New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

[PDF][PDF] Use of artificial intelligence in triage in hospital emergency departments: a sco** review

S Tyler, M Olis, N Aust, L Patel, L Simon… - Cureus, 2024 - cureus.com
The integration of artificial intelligence (AI) and machine learning (ML) in healthcare has
become a major point of interest and raises the question of its impact on the emergency …

Multisource Data Framework for Prehospital Emergency Triage in Real-Time IoMT-Based Telemedicine Systems

AA Jasim, O Ata, OH Salman - International Journal of Medical Informatics, 2024 - Elsevier
Abstract Background and Objective The Internet of Medical Things (IoMT) has revolutionized
telemedicine by enabling the remote monitoring and management of patient care …

A hybrid computational approach to process real-time streaming multi-sources data and improve classification for emergency patients triage services: moving forward …

OS Salman, NM Abdul Latiff, OH Salman… - Neural Computing and …, 2024 - Springer
Abstract In the Internet of Medical Things (IoMT)-based real-time telemedicine systems,
patients can utilize a wide range of medical devices and sensors, which leads to the …

[HTML][HTML] Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire

M Mendonça Ramos Simões, F Rocha Lima… - Scientific Reports, 2025 - nature.com
Leprosy is a dermatoneurological disease and can cause irreversible nerve damage. In
addition to being able to mimic different rheumatological, neurological and dermatological …

Combining IoMT and XAI for Enhanced Triage Optimization: An MQTT Broker Approach with Contextual Recommendations for Improved Patient Priority Management …

O Stitini, F Ouakasse, S Rakrak… - … Journal of Online & …, 2024 - search.ebscohost.com
The widespread adoption of the Internet of Things has significantly enhanced our daily lives
across various dimensions. E-health has significantly benefited from advancements in the …

[PDF][PDF] Early Triage Prediction for Outpatient Care Based on Heterogeneous Medical Data Utilizing Machine Learning.

OS Salman, A Latiff, N Mu'azzah… - … Journal of Science …, 2024 - journals-jd.upm.edu.my
Traditional triage tools hospitals use face limitations in handling the increasing number of
patients and analyzing complex data. These ongoing challenges in patient triage …

[PDF][PDF] A novel framework for multiple disease prediction in telemedicine systems using deep learning

DR Unnithan, JR Jeba - Automatika: časopis za automatiku, mjerenje …, 2024 - hrcak.srce.hr
Telemedicine systems are gaining popularity due to their ability to provide remote medical
services. These systems produce a lot of data, which may be used for a variety of purposes …

Machine Learning in Diabetes Modeling

S Ardabili, A Mosavi, I Felde - 2023 IEEE 21st Jubilee …, 2023 - ieeexplore.ieee.org
Machine learning (ML) has become an integral component of diabetes research. Its
applications encompass prediction, identification, classification, and diagnosis of diabetes …