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Syed Ahmar Shah

Showing results (11-20 of 59) with videos related to

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Frontiers in Neurology|August 28, 2020
Application of Machine Learning Using Decision Trees for Prognosis of Deep Brain Stimulation of Globus Pallidus Internus for Children With DystoniaSyed Ahmar Shah, Peter Brown, Hortensia Gimeno, et al.
Journal of Neurology|August 14, 2024
Machine learning and wearable sensors for automated Parkinson's disease diagnosis aid: a systematic reviewLazzaro di Biase, Pasquale Maria Pecoraro, Giovanni Pecoraro, et al.
Scientific Data|June 8, 2023
Home monitoring with connected mobile devices for asthma attack prediction with machine learningKevin C H Tsang, Hilary Pinnock, Andrew M Wilson, et al.
BMJ Open|October 3, 2022
Predicting asthma attacks using connected mobile devices and machine learning: the AAMOS-00 observational study protocolKevin Cheuk Him Tsang, Hilary Pinnock, Andrew M Wilson, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Personalized alerts for patients with COPD using pulse oximetry and symptom scoresSyed Ahmar Shah, Carmelo Velardo, Oliver J Gibson, et al.
JMIR AI|June 14, 2024
Machine Learning-Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping ReviewArif Budiarto, Kevin C H Tsang, Andrew M Wilson, et al.
BMC Medical Informatics and Decision Making|June 19, 2015
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort studyMaxine Hardinge, Heather Rutter, Carmelo Velardo, et al.
IEEE Journal of Biomedical and Health Informatics|October 7, 2015
A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive HealthcareAndreas K Triantafyllidis, Carmelo Velardo, Dario Salvi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor PatchesJohanna OrDonnell, Carmelo Velardo, Syed Ahmar Shah, et al.
International Journal of Medical Informatics|June 4, 2015
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF StudyAndreas Triantafyllidis, Carmelo Velardo, Tracey Chantler, et al.
Pageof 6

Showing results (11-20 of 59) with videos related to

Sort By:
Pageof 6
Frontiers in Neurology|August 28, 2020
Application of Machine Learning Using Decision Trees for Prognosis of Deep Brain Stimulation of Globus Pallidus Internus for Children With DystoniaSyed Ahmar Shah, Peter Brown, Hortensia Gimeno, et al.
Journal of Neurology|August 14, 2024
Machine learning and wearable sensors for automated Parkinson's disease diagnosis aid: a systematic reviewLazzaro di Biase, Pasquale Maria Pecoraro, Giovanni Pecoraro, et al.
Scientific Data|June 8, 2023
Home monitoring with connected mobile devices for asthma attack prediction with machine learningKevin C H Tsang, Hilary Pinnock, Andrew M Wilson, et al.
BMJ Open|October 3, 2022
Predicting asthma attacks using connected mobile devices and machine learning: the AAMOS-00 observational study protocolKevin Cheuk Him Tsang, Hilary Pinnock, Andrew M Wilson, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Personalized alerts for patients with COPD using pulse oximetry and symptom scoresSyed Ahmar Shah, Carmelo Velardo, Oliver J Gibson, et al.
JMIR AI|June 14, 2024
Machine Learning-Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping ReviewArif Budiarto, Kevin C H Tsang, Andrew M Wilson, et al.
BMC Medical Informatics and Decision Making|June 19, 2015
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort studyMaxine Hardinge, Heather Rutter, Carmelo Velardo, et al.
IEEE Journal of Biomedical and Health Informatics|October 7, 2015
A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive HealthcareAndreas K Triantafyllidis, Carmelo Velardo, Dario Salvi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor PatchesJohanna OrDonnell, Carmelo Velardo, Syed Ahmar Shah, et al.
International Journal of Medical Informatics|June 4, 2015
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF StudyAndreas Triantafyllidis, Carmelo Velardo, Tracey Chantler, et al.
Pageof 6