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Non-communicable Diseases, Big Data and Artificial Intelligence

Non-communicable Diseases, Big Data and Artificial Intelligence

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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.

This book is included in DOAB.

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Keywords

  • 90-day function outcome
  • acute pancreatitis
  • AGER
  • artificial intelligence
  • Atherosclerosis
  • Chinese elderly
  • cognitive dysfunction
  • complexity theory
  • computer-aided diagnosis
  • coronary artery disease
  • coronary computed tomographic angiography
  • coronary plaque
  • craniopharyngioma
  • deep learning
  • Dementia
  • diabetic complication
  • distal radius fracture
  • DNA Methylation
  • Entropy
  • exposure to radiation
  • facial phenotypes
  • gene-gene interaction
  • Hip Fracture
  • IL6R
  • incident diabetes
  • Interventions
  • liver neoplasms
  • Machine learning
  • machine learning algorithm
  • major adverse cardiovascular events
  • medicine
  • mental status and dementia tests
  • Mortality
  • multicenter
  • Multiple Sclerosis
  • Neuropsychological Tests
  • optic chiasm
  • Osteoarthritis
  • osteoporosis
  • osteoporotic fracture
  • physical activity
  • pituitary adenoma
  • plaque characterization
  • population-based cohort study
  • prediabetes
  • prediction
  • prediction model
  • predictive models
  • predictor
  • small for gestational age
  • spontaneous intracerebral hemorrhage (SICH)
  • Treatment Outcome
  • type 2 diabetes mellitus (T2DM)
  • venous thrombosis
  • vertebral fracture
  • VTE risk prediction

Links

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

Editions

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