Survival study on deep learning techniques for IoT enabled smart healthcare system
ConclusionMAR-ERNN performs well in the activity recognition of health status. Collectively, this IoT-enabled smart healthcare system is utilized by enhancing accuracy, and minimizing time and overhead reduction. (Source: Health and Technology)
Source: Health and Technology - February 10, 2023 Category: Information Technology Source Type: research
The applications and the effectiveness of mHealth interventions to manage lung cancer patients: a systematic review
ConclusionMost mHealth interventions dealing with lung cancer focus on monitoring patients and providing information to specialists. Despite the potential impact of interventions on outcomes such as improving diagnosis, treatment, and patient quality of life, there is insufficient evidence to quantify their impact. Therefore, more studies are needed in this field. (Source: Health and Technology)
Source: Health and Technology - February 8, 2023 Category: Information Technology Source Type: research
Machine learning classification approach for asthma prediction models in children
ConclusionThis work concludes that there is a gradual increase of machine and deep learning algorithms for asthma prediction in children and that these approaches have shown greater predictive performance in pediatric asthma than the conventional existing models. (Source: Health and Technology)
Source: Health and Technology - January 31, 2023 Category: Information Technology Source Type: research
A novel pump-free ultrafiltration rate modulation system for continuous renal replacement therapy applications
ConclusionThe developed clamp system represents a valid alternative to state-of-the-art solutions with peristaltic pumps in terms of performance, with potential usability advantages. The compliance with safety requirements given by international standard IEC 60601-2-16 is a prerequisite for clinical use. (Source: Health and Technology)
Source: Health and Technology - January 30, 2023 Category: Information Technology Source Type: research
Interpretable machine learning analysis to identify risk factors for diabetes using the anonymous living census data of Japan
ConclusionsNew risk factors for diabetes mellitus were identified based on Japan's non-objective-oriented anonymous census data using interpretable machine learning models. The newly identified risk factors inspire new possible policies for preventing diabetes. Moreover, our analysis certifies that big data can help us find helpful knowledge in today's prosperous society. Our study also paves the way for identifying more risk factors and promoting the efficiency of using big data. (Source: Health and Technology)
Source: Health and Technology - January 26, 2023 Category: Information Technology Source Type: research
Long-term stability of over-the-counter cuffless blood pressure monitors: a proposal
AbstractBlood pressure is an important cardiovascular parameter. Currently, the cuff-based sphygmomanometer is a popular, reliable, measurement method, but blood pressure monitors without cuffs have become popular and are now available without a prescription. Blood pressure monitors must be approved by regulatory authorities. Current cuffless blood pressure (CL-BP) monitors are not suitable for at-home management and prevention of hypertension. This paper proposes simple criteria for over-the-counter CL-BP monitoring. First, the history of the sphygmomanometer and current standard blood pressure protocol are reviewed. The ...
Source: Health and Technology - January 23, 2023 Category: Information Technology Source Type: research
Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol
ConclusionThis is a validation study that will perform additional tests on a larger diabetes sample population to validate the previous pilot results that were based on four healthy adults, providing evidence on the reliability of the AI algorithm in detecting glycaemic events in paediatric diabetic patients in free-living conditions.Trial registrationClinicalTrials.gov identifier: NCT03936634. Registered on 11 March 2022, retrospectively registered,https://www.clinicaltrials.gov/ct2/show/NCT05278143?titles=AI+for+Glycemic+Events+Detection+Via+ECG+in+a+Pediatric+Population&draw=2&rank=1. (Source: Health and Technology)
Source: Health and Technology - January 23, 2023 Category: Information Technology Source Type: research
Long-term stability of over-the-counter cuffless blood pressure monitors: a proposal
AbstractBlood pressure is an important cardiovascular parameter. Currently, the cuff-based sphygmomanometer is a popular, reliable, measurement method, but blood pressure monitors without cuffs have become popular and are now available without a prescription. Blood pressure monitors must be approved by regulatory authorities. Current cuffless blood pressure (CL-BP) monitors are not suitable for at-home management and prevention of hypertension. This paper proposes simple criteria for over-the-counter CL-BP monitoring. First, the history of the sphygmomanometer and current standard blood pressure protocol are reviewed. The ...
Source: Health and Technology - January 23, 2023 Category: Information Technology Source Type: research
Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol
ConclusionThis is a validation study that will perform additional tests on a larger diabetes sample population to validate the previous pilot results that were based on four healthy adults, providing evidence on the reliability of the AI algorithm in detecting glycaemic events in paediatric diabetic patients in free-living conditions.Trial registrationClinicalTrials.gov identifier: NCT03936634. Registered on 11 March 2022, retrospectively registered,https://www.clinicaltrials.gov/ct2/show/NCT05278143?titles=AI+for+Glycemic+Events+Detection+Via+ECG+in+a+Pediatric+Population&draw=2&rank=1. (Source: Health and Technology)
Source: Health and Technology - January 23, 2023 Category: Information Technology Source Type: research
Internet of Things (IoT) based automated sanitizer dispenser and COVID-19 statistics reporter in a post-pandemic world
ConclusionsThe proposed model could be a feasible solution to prevent the entry of infected persons and asymptomatic carriers indoors. This can be achieved by implementing automated temperature screening before allowing entry into the building. This can help identify individuals who are potentially infected with the virus and prevent them from entering the premises and potentially spreading the disease to others. Overall, the proposed model is a comprehensive and practical solution that can help to prevent the entry of infected persons and asymptomatic carriers indoors and help to keep the public safe. (Source: Health and Technology)
Source: Health and Technology - January 20, 2023 Category: Information Technology Source Type: research
