Non-communicable Diseases, Big Data and Artificial Intelligence

• Autore: Wang Youxin
• Pubblicazione: Basel, : MDPI Books, 2022
• Descrizione fisica: 1 electronic resource (214 p.)
• Soggetto topico: Medicine
• Soggetto non controllato: 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
• Persona (resp. second.): FengMing; WangYouxin
• Sommario/riassunto: 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.
• Titolo autorizzato: Non-communicable Diseases, Big Data and Artificial Intelligence
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910595077503321
• Lo trovi qui: Univ. Federico II