Non-communicable Diseases, Big Data and Artificial Intelligence

• Övriga skapare: Wang, Youxin (Utgivare, redaktör, sammanställare), Feng, Ming (Utgivare, redaktör, sammanställare)
• Materialtyp: Elektronisk Bokavsnitt
• Språk: engelska
• Publicerad: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Ämnen: 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
• Länkar: DOAB: download the publication; DOAB: description of the publication

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.