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Non-communicable Diseases, Big Data and Artificial Intelligence

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.

Bibliographic Details
Main Author: Wang, Youxin
Other Authors: Feng, Ming
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Machine Learning
Liver Neoplasms
Prediction Model
90-day Function Outcome
Optic Chiasm
Dementia
Prediabetes
Multicenter
Facial Phenotypes
Vte Risk Prediction
Deep Learning
Medicine / Bicssc
Incident Diabetes
Multiple Sclerosis
Coronary Artery Disease
Osteoporotic Fracture
Machine Learning Algorithm
Diabetic Complication
Spontaneous Intracerebral Hemorrhage (sich)
Craniopharyngioma
Mortality
Type 2 Diabetes Mellitus (t2dm)
Computer-aided Diagnosis
Mental Status And Dementia Tests
Venous Thrombosis
Predictive Models
Dna Methylation
Atherosclerosis
Population-based Cohort Study
Physical Activity
Coronary Plaque
Gene-gene Interaction
Prediction
Coronary Computed Tomographic Angiography
Ager
Osteoarthritis
Interventions
Chinese Elderly
Small For Gestational Age
Exposure To Radiation
Entropy
Il6r
Artificial Intelligence
Hip Fracture
Plaque Characterization
Major Adverse Cardiovascular Events
Complexity Theory
Treatment Outcome
Acute Pancreatitis
Distal Radius Fracture
Vertebral Fracture
Predictor
Cognitive Dysfunction
Pituitary Adenoma
Neuropsychological Tests
Osteoporosis
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (214 p.)
ISBN:books978-3-0365-4847-0
9783036548487
9783036548470

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