Non-communicable Diseases, Big Data and Artificial Intelligence

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Non-communicable Diseases, Big Data and Artificial Intelligence

This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.

Detalles Bibliográficos
Otros Autores:	Wang, Youxin (Editor ), Feng, Ming (Otro)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Basel MDPI Books 2022
Materias:	Medicine artificial intelligence computer-aided diagnosis facial phenotypes machine learning complexity theory dementia cognitive dysfunction neuropsychological tests mental status and dementia tests spontaneous intracerebral hemorrhage (SICH) 90-day function outcome mortality osteoarthritis venous thrombosis VTE risk prediction machine learning algorithm population-based cohort study pituitary adenoma craniopharyngioma optic chiasm multicenter treatment outcome liver neoplasms deep learning diabetic complication gene-gene interaction AGER IL6R multiple sclerosis DNA methylation entropy atherosclerosis plaque characterization physical activity osteoporosis osteoporotic fracture vertebral fracture hip fracture distal radius fracture small for gestational age exposure to radiation prediction coronary plaque major adverse cardiovascular events coronary artery disease coronary computed tomographic angiography acute pancreatitis predictor interventions type 2 diabetes mellitus (T2DM) prediction model Chinese elderly prediabetes incident diabetes predictive models
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009683479606719

Descripción
Sumario:	This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.
Descripción Física:	1 electronic resource (214 p.)