Titlebook: IoT Technologies for Health Care; 8th EAI Internationa Susanna Spinsante,Bruno Silva,Rossitza Goleva Conference proceedings 2022 ICST Insti

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Integration of Wearable, Persuasive, and Multimedia Design Principles in Enhancing Depression Awarener discusses constructing a model that integrates wearable, persuasive, and multimedia design principles to enhance one‘s controllability awareness of depression. The model is constructed through the content analysis method. As a result, a triad of three design principles was consolidated and valida

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A Comparative Study of Data Mining Techniques Applied to Renal-Cell Carcinomas for patients who have a life expectancy of less than 5 years. The results obtained demonstrated that the best algorithm for estimating the vital status at 5 years was Random Forest. This algorithm presented an accuracy of 87.65% and an AUROC of 0.931. For the prediction of days to death, the best p

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Not Just a Matter of Accuracy: A fNIRS Pilot Study into Discrepancy Between Sleep Data and Subjectiv of the ΔO2Hb and ΔHHb in a different set of channels, with negative correlation coefficients. The findings suggested that better perceived sleep quality may be positively associated to increased hemodynamics during the first sleep cycle, and the opposite may be true for objective sleep metrics such

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Automatic Classification of Diabetic Retinopathy Through Segmentation Using CNNmportant to obtain accurate results which, through retinal segmentation could be achieved. We also highlight the difficulties in the development and learning of powerful, efficient, and reliable deep learning models for different DR diagnostic problems. The system was able to classify various DR sta

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Carolina Marques,Vasco Ramos,Hugo Peixoto,José Machado

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Enas Saleem Alrehily,Rawan Fahad Alhejaili,Dalal Rasheed Albeladi,Liyakathunisa Syed

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Nefeli Dourou,Angelica Poli,Alessandro Terenzi,Stefania Cecchi,Susanna Spinsante

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Federico Casaccia,Grazia Iadarola,Angelica Poli,Susanna Spinsante

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