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Machine Learning in Genome-Wide Association Studies
Machine Learning in Genome-Wide Association Studies
Autore Hu Ting
Pubbl/distr/stampa Frontiers Media SA, 2020
Descrizione fisica 1 electronic resource (74 p.)
Soggetto topico Science: general issues
Medical genetics
Soggetto non controllato GWAS—genome-wide association study
machine learning
complex diseases
gene-gene interaction
epistasis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557760703321
Hu Ting  
Frontiers Media SA, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Non-communicable Diseases, Big Data and Artificial Intelligence
Non-communicable Diseases, Big Data and Artificial Intelligence
Autore Wang Youxin
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (214 p.)
Soggetto topico Medicine
Soggetto non controllato 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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595077503321
Wang Youxin  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui