Artificial Intelligence and Big Data Analytics for Smart Healthcare
portes grátis
Artificial Intelligence and Big Data Analytics for Smart Healthcare
Sarirete, Akila; Chui, Kwok Tai; Visvizi, Anna; Lytras, Miltiadis
Elsevier Science Publishing Co Inc
10/2021
290
Mole
Inglês
9780128220603
15 a 20 dias
590
Descrição não disponível.
Section 1: Big data infrastructure, framework and design for smart healthcareSection 2: Signal processing techniques for smart healthcare applicationsSection 3: Business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcareSection 4: Emerging tools and techniques for smart healthcareSection 5: Challenges (e.g. security, privacy, and policy) in big data for smart healthcare. While in existing books, the focus is on limited areas (sections)Section 6: Appendixes
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
?ADHD; Alzheimer's disease; Applied data science; Architectural design; Artificial Intelligence; Artificial intelligence; Autism; Automatic identification system (AIS); Bibliometrics; Big data; Big data analytics; COVID-19; COVID-19 detection; CRISP-DM; Case study; Citation classification; Citation context analysis; Clinical decision support; Cloud computing; Cognitive assessment; Computing; Content analysis; Data analytics; Data mining; Data science; Deep learning; Design; Design science; Diabetes; Digital transformation; Disruption; Distributed computing; E-learning; EEG; Electronic patient records; Environmental health; Games in learning; Graph-based semisupervised learning; Health care; Health systems; Healthcare; Hospitals; Human voice; Hyperactivity; Hyperglycemia; Hypoglycemia; ICTs; Image classification; Imbalanced classification; Infection control; Influential citations; Interdisciplinary education; Internet of things; Internet of things (IoT); IoT; Labor; Learning approaches; Linear discriminant analysis; M-Health; MMSE; Machine learning; Manual dexterity; Maritime healthcare; Maritime risk estimation; Maritime safety; Medical diagnosis; Medical screening; Mild cognitive impairment; Mobile Partogram; Mobile application; Mobile cloud computing; Mobile health-care application; Mobile technology; Monitoring Parkinson's disease; Monitoring system; Neurofeedback; Neurotherapy; One Health; Parkinson's disease datasets; Parkinson's symptoms digital test; Postpandemic solutions; Prediction model; Public health; Quality of life; Quality of service; Random forest; SARS-CoV-2; Saudi Commission for Health Specialties; Scientific literature; Scientometrics; Self-evaluation; Smart city; Smart healthcare; Smart living; Spatial memory test; Support vector machine; Surgical care; Surgical site infection; Text mining; Therapeutics
Section 1: Big data infrastructure, framework and design for smart healthcareSection 2: Signal processing techniques for smart healthcare applicationsSection 3: Business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcareSection 4: Emerging tools and techniques for smart healthcareSection 5: Challenges (e.g. security, privacy, and policy) in big data for smart healthcare. While in existing books, the focus is on limited areas (sections)Section 6: Appendixes
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
?ADHD; Alzheimer's disease; Applied data science; Architectural design; Artificial Intelligence; Artificial intelligence; Autism; Automatic identification system (AIS); Bibliometrics; Big data; Big data analytics; COVID-19; COVID-19 detection; CRISP-DM; Case study; Citation classification; Citation context analysis; Clinical decision support; Cloud computing; Cognitive assessment; Computing; Content analysis; Data analytics; Data mining; Data science; Deep learning; Design; Design science; Diabetes; Digital transformation; Disruption; Distributed computing; E-learning; EEG; Electronic patient records; Environmental health; Games in learning; Graph-based semisupervised learning; Health care; Health systems; Healthcare; Hospitals; Human voice; Hyperactivity; Hyperglycemia; Hypoglycemia; ICTs; Image classification; Imbalanced classification; Infection control; Influential citations; Interdisciplinary education; Internet of things; Internet of things (IoT); IoT; Labor; Learning approaches; Linear discriminant analysis; M-Health; MMSE; Machine learning; Manual dexterity; Maritime healthcare; Maritime risk estimation; Maritime safety; Medical diagnosis; Medical screening; Mild cognitive impairment; Mobile Partogram; Mobile application; Mobile cloud computing; Mobile health-care application; Mobile technology; Monitoring Parkinson's disease; Monitoring system; Neurofeedback; Neurotherapy; One Health; Parkinson's disease datasets; Parkinson's symptoms digital test; Postpandemic solutions; Prediction model; Public health; Quality of life; Quality of service; Random forest; SARS-CoV-2; Saudi Commission for Health Specialties; Scientific literature; Scientometrics; Self-evaluation; Smart city; Smart healthcare; Smart living; Spatial memory test; Support vector machine; Surgical care; Surgical site infection; Text mining; Therapeutics
