Health Informatics
portes grátis
Health Informatics
Technologies and applications
Khari, Manju; Gupta, Gaurav; Khan, Shakir
Institution of Engineering and Technology
02/2026
317
Dura
Inglês
9781837240883
15 a 20 dias
Descrição não disponível.
Chapter 1: Health data analytics and big data applications
Chapter 2: Advances in brain tumor detection: role of feature extraction and machine learning
Chapter 3: Understanding of Parkinson's disease: pathology, diagnosis, therapies, and importance of biomarkers
Chapter 4: Amyotrophic lateral sclerosis (ALS) disease: genes, molecular pathology and diagnostic treatment
Chapter 5: Advances in health informatics for obstructive sleep apnea diagnosis and management
Chapter 6: Optimized audio signal reconstruction for AI-driven diagnosis of chronic respiratory conditions
Chapter 7: Emotion recognition using speech
Chapter 8: Enhanced security and privacy in IoMT: a hierarchical federated learning approach using Dew-Cloud with HLSTM for hostile attack mitigation
Chapter 9: Revolutionizing pathological assessments with privacy-centric machine learning models
Chapter 10: Exploring the synergy of SSL and IoMT in breast cancer detection: a theoretical framework
Chapter 11: Proteomics techniques for characterizing microbial proteins
Chapter 12: Enhancing obstructive sleep apnea diagnosis with machine learning: innovations and outcomes
Chapter 13: Ensemble and hybrid machine learning techniques: theoretical foundations, differences, applications and healthcare integration
Chapter 2: Advances in brain tumor detection: role of feature extraction and machine learning
Chapter 3: Understanding of Parkinson's disease: pathology, diagnosis, therapies, and importance of biomarkers
Chapter 4: Amyotrophic lateral sclerosis (ALS) disease: genes, molecular pathology and diagnostic treatment
Chapter 5: Advances in health informatics for obstructive sleep apnea diagnosis and management
Chapter 6: Optimized audio signal reconstruction for AI-driven diagnosis of chronic respiratory conditions
Chapter 7: Emotion recognition using speech
Chapter 8: Enhanced security and privacy in IoMT: a hierarchical federated learning approach using Dew-Cloud with HLSTM for hostile attack mitigation
Chapter 9: Revolutionizing pathological assessments with privacy-centric machine learning models
Chapter 10: Exploring the synergy of SSL and IoMT in breast cancer detection: a theoretical framework
Chapter 11: Proteomics techniques for characterizing microbial proteins
Chapter 12: Enhancing obstructive sleep apnea diagnosis with machine learning: innovations and outcomes
Chapter 13: Ensemble and hybrid machine learning techniques: theoretical foundations, differences, applications and healthcare integration
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
health data; analytics; big data; feature extraction; machine learning; artificial intelligence; ML; AI; diagnosis; biomarkers; diagnostic treatment; signal processing; signal reconstruction; AI-driven diagnosis; security; privacy; Internet of Things; Internet of Medical Things; IoT; IoMT; cloud computing; hybrid machine learning techniques; applications; healthcare integration
Chapter 1: Health data analytics and big data applications
Chapter 2: Advances in brain tumor detection: role of feature extraction and machine learning
Chapter 3: Understanding of Parkinson's disease: pathology, diagnosis, therapies, and importance of biomarkers
Chapter 4: Amyotrophic lateral sclerosis (ALS) disease: genes, molecular pathology and diagnostic treatment
Chapter 5: Advances in health informatics for obstructive sleep apnea diagnosis and management
Chapter 6: Optimized audio signal reconstruction for AI-driven diagnosis of chronic respiratory conditions
Chapter 7: Emotion recognition using speech
Chapter 8: Enhanced security and privacy in IoMT: a hierarchical federated learning approach using Dew-Cloud with HLSTM for hostile attack mitigation
Chapter 9: Revolutionizing pathological assessments with privacy-centric machine learning models
Chapter 10: Exploring the synergy of SSL and IoMT in breast cancer detection: a theoretical framework
Chapter 11: Proteomics techniques for characterizing microbial proteins
Chapter 12: Enhancing obstructive sleep apnea diagnosis with machine learning: innovations and outcomes
Chapter 13: Ensemble and hybrid machine learning techniques: theoretical foundations, differences, applications and healthcare integration
Chapter 2: Advances in brain tumor detection: role of feature extraction and machine learning
Chapter 3: Understanding of Parkinson's disease: pathology, diagnosis, therapies, and importance of biomarkers
Chapter 4: Amyotrophic lateral sclerosis (ALS) disease: genes, molecular pathology and diagnostic treatment
Chapter 5: Advances in health informatics for obstructive sleep apnea diagnosis and management
Chapter 6: Optimized audio signal reconstruction for AI-driven diagnosis of chronic respiratory conditions
Chapter 7: Emotion recognition using speech
Chapter 8: Enhanced security and privacy in IoMT: a hierarchical federated learning approach using Dew-Cloud with HLSTM for hostile attack mitigation
Chapter 9: Revolutionizing pathological assessments with privacy-centric machine learning models
Chapter 10: Exploring the synergy of SSL and IoMT in breast cancer detection: a theoretical framework
Chapter 11: Proteomics techniques for characterizing microbial proteins
Chapter 12: Enhancing obstructive sleep apnea diagnosis with machine learning: innovations and outcomes
Chapter 13: Ensemble and hybrid machine learning techniques: theoretical foundations, differences, applications and healthcare integration
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
health data; analytics; big data; feature extraction; machine learning; artificial intelligence; ML; AI; diagnosis; biomarkers; diagnostic treatment; signal processing; signal reconstruction; AI-driven diagnosis; security; privacy; Internet of Things; Internet of Medical Things; IoT; IoMT; cloud computing; hybrid machine learning techniques; applications; healthcare integration
