Reprint
Non-communicable Diseases, Big Data and Artificial Intelligence
Edited by
August 2022
214 pages
- ISBN978-3-0365-4848-7 (Hardback)
- ISBN978-3-0365-4847-0 (PDF)
This book is a reprint of the Special Issue Non-communicable Diseases, Big Data and Artificial Intelligence that was published in
Medicine & Pharmacology
Public Health & Healthcare
Summary
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.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
artificial intelligence; computer-aided diagnosis; facial phenotypes; machine learning; complexity theory; machine learning; dementia; cognitive dysfunction; neuropsychological tests; mental status and dementia tests; spontaneous intracerebral hemorrhage (SICH); machine learning; 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; artificial intelligence; atherosclerosis; plaque characterization; physical activity; osteoporosis; osteoporotic fracture; vertebral fracture; hip fracture; distal radius fracture; small for gestational age; exposure to radiation; machine learning; prediction; coronary plaque; machine learning; major adverse cardiovascular events; coronary artery disease; coronary computed tomographic angiography; acute pancreatitis; machine learning; predictor; interventions; mortality; type 2 diabetes mellitus (T2DM); machine learning; prediction model; Chinese elderly; machine learning; prediabetes; incident diabetes; predictive models