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#deeplearninghealth search results

InformaticsMDPI's profile picture. Informatics (ISSN 2227-9709) is an international, #OpenAccess journal of #Informatics, covered by #ESCI, #Scopus, published quarterly online by @MDPIOpenAccess.
Informatics MDPI
 @InformaticsMDPI
Sep 25

🏥Read Alert 📈Deep Learning-Based Forecasting of Boarding Patient Counts to Address Emergency Department Overcrowding 🤖by Vural et al #DeepLearningHealth #EmergencyCare #PatientForecasting #HospitalOvercrowding #AIinHealthcare 🚑mdpi.com/2227-9709/12/3…

InformaticsMDPI's tweet image. 🏥Read Alert 📈Deep Learning-Based Forecasting of Boarding Patient Counts to Address Emergency Department Overcrowding 🤖by Vural et al #DeepLearningHealth #EmergencyCare #PatientForecasting #HospitalOvercrowding #AIinHealthcare 🚑mdpi.com/2227-9709/12/3…
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aihealth_hub's profile picture. Your go-to source for health & AI trends. 🪄 Daily updates on AI on health, digital health, and more. Join the future of health! by @yesilscience
AI for Health Hub
 @aihealth_hub
Jan 24

📃 Article: Kishor Kumar Reddy C, et al. Detecting anomalies in smart wearables for hypertension: a deep learning mechanism. Front Public Health. 2024; 12:1426168. 🔗pubmed.ncbi.nlm.nih.gov/39850864 #DeepLearningHealth

aihealth_hub's tweet card. The results confirm the potential of integrating ResNet-LSTM into SHM for accurate and non-invasive BP prediction. This approach also highlights the need for accurate anomaly detection in continuous...
Detecting anomalies in smart wearables for hypertension: a deep learning mechanism - PubMed
Source: pubmed.ncbi.nlm.nih.gov
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InformaticsMDPI's profile picture. Informatics (ISSN 2227-9709) is an international, #OpenAccess journal of #Informatics, covered by #ESCI, #Scopus, published quarterly online by @MDPIOpenAccess.
Informatics MDPI
 @InformaticsMDPI
Sep 25

🏥Read Alert 📈Deep Learning-Based Forecasting of Boarding Patient Counts to Address Emergency Department Overcrowding 🤖by Vural et al #DeepLearningHealth #EmergencyCare #PatientForecasting #HospitalOvercrowding #AIinHealthcare 🚑mdpi.com/2227-9709/12/3…

InformaticsMDPI's tweet image. 🏥Read Alert 📈Deep Learning-Based Forecasting of Boarding Patient Counts to Address Emergency Department Overcrowding 🤖by Vural et al #DeepLearningHealth #EmergencyCare #PatientForecasting #HospitalOvercrowding #AIinHealthcare 🚑mdpi.com/2227-9709/12/3…
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aihealth_hub's profile picture. Your go-to source for health & AI trends. 🪄 Daily updates on AI on health, digital health, and more. Join the future of health! by @yesilscience
AI for Health Hub
 @aihealth_hub
Jan 24

📃 Article: Kishor Kumar Reddy C, et al. Detecting anomalies in smart wearables for hypertension: a deep learning mechanism. Front Public Health. 2024; 12:1426168. 🔗pubmed.ncbi.nlm.nih.gov/39850864 #DeepLearningHealth

aihealth_hub's tweet card. The results confirm the potential of integrating ResNet-LSTM into SHM for accurate and non-invasive BP prediction. This approach also highlights the need for accurate anomaly detection in continuous...
Detecting anomalies in smart wearables for hypertension: a deep learning mechanism - PubMed
Source: pubmed.ncbi.nlm.nih.gov
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