Health and Public Health Applications for Decision Support Using Machine Learning

"Health and Public Health Applications for Decision Support Using Machine Learning" is a reprint that explores the intersection of machine learning and health sciences. It presents a collection of research and innovations showcasing how data-driven algorithms can transform patient care, disease diag...

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Natura:	Online
Lingua:	inglese
Pubblicazione:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Soggetti:	adult-onset dementia Alzheimer’s disease magnetic resonance imaging artificial intelligence machine learning neural networks atherosclerosis Doppler ultrasound internal carotid artery hemodynamic modeling stroke stress emotion action units speech audio visual RNN-LSTM petri-plates colonies machine-learning models discrimination Measurement uncertainty Monte Carlo method ECG Cardiac health COVID-19 signal processing image processing computerized diagnostic systems subclinical renal damage risk assessment tool group-based trajectory modeling screening strategy CVD classification data selection convolutional neural network pretrained model deep learning transfer learning infected lung segmentation quantification of lung disease severity comparison between manual and automated image segmentation deep neural network COVID-19 detection COVID-19 severity assessment gait neuromuscular control movement synergy overground walking principal component analysis (PCA) largest Lyapunov exponent (LyE) time-series forecasting blood glucose diabetes ensemble learning artificial neural network DDI (drug–drug interaction) CPR (chemical–protein relation) transformer self-attention GAT (graph-attention network) relation extraction ChemProt T5 (text-to-text transfer transformer) n/a
Accesso online:	ONIX_20230911_9783036585499_45
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Health and Public Health Applications for Decision Support Using Machine Learning

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