Non-communicable Diseases, Big Data and Artificial Intelligence

doi:10.3390/books978-3-0365-4847-0

Download Url(s)

https://mdpi.com/books/pdfview/book/5904

Contributor(s)

Wang, Youxin (editor)

Feng, Ming (editor)

Language

English

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Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/97422

Keywords

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