Evolving Predictive Analytics in Healthcare
portes grátis
Evolving Predictive Analytics in Healthcare
New AI techniques for real-time interventions
Dubey, Ashutosh Kumar; Le, Dac-Nhuong; Bhatia, Surbhi; Kumar, Swarn Avinash; Kumar, Abhishek
Institution of Engineering and Technology
10/2022
420
Dura
Inglês
9781839535116
15 a 20 dias
Descrição não disponível.
Chapter 1: COVID-19 detection in X-ray images using customized CNN model
Chapter 2: Introducing deep learning in medical diagnosis
Chapter 3: Intelligent approach for network intrusion detection system (NIDS) utilizing machine learning (ML)
Chapter 4: Classification methodologies in healthcare
Chapter 5: Introducing deep learning in medical domain
Chapter 6: Deep-stacked autoencoder for medical image classification
Chapter 7: Comparison of machine learning and deep learning algorithms for prediction of coronary heart disease
Chapter 8: Revolution in technology-enabled healthcare: Internet of Things
Chapter 9: Smart healthcare monitoring framework using IoT with big data analytics
Chapter 10: Experimental analysis and investigation of dementia detection framework using EHR-based variant LSTM model
Chapter 11: An intelligent agent-based distributed patient scheduling using token-based coordination approach: a case study
Chapter 12: Internet of Things (IoT) for the efficient healthcare system
Chapter 13: Comprehension of melody representation and speed-up approaches for query by humming system
Chapter 14: Python for digital health solutions: elevated outcomes
Chapter 15: IoT-enabled healthcare - a paradigm shift
Chapter 16: IoT-based cardiovascular prediction framework using deep learning algorithms
Chapter 17: An intelligent approach using convolutional neural network (CNN) for early detection of melanoma and other skin diseases
Chapter 18: Self-organizing deep learning approach for controlling movements of wheeled apparatus through corneal connotation
Chapter 19: Prediction of breast tumour outcome to chemotherapy using statistical MR images through deep learning approaches
Chapter 20: Risk analysis and prediction of cancer associated with Type II diabetes: a review
Chapter 2: Introducing deep learning in medical diagnosis
Chapter 3: Intelligent approach for network intrusion detection system (NIDS) utilizing machine learning (ML)
Chapter 4: Classification methodologies in healthcare
Chapter 5: Introducing deep learning in medical domain
Chapter 6: Deep-stacked autoencoder for medical image classification
Chapter 7: Comparison of machine learning and deep learning algorithms for prediction of coronary heart disease
Chapter 8: Revolution in technology-enabled healthcare: Internet of Things
Chapter 9: Smart healthcare monitoring framework using IoT with big data analytics
Chapter 10: Experimental analysis and investigation of dementia detection framework using EHR-based variant LSTM model
Chapter 11: An intelligent agent-based distributed patient scheduling using token-based coordination approach: a case study
Chapter 12: Internet of Things (IoT) for the efficient healthcare system
Chapter 13: Comprehension of melody representation and speed-up approaches for query by humming system
Chapter 14: Python for digital health solutions: elevated outcomes
Chapter 15: IoT-enabled healthcare - a paradigm shift
Chapter 16: IoT-based cardiovascular prediction framework using deep learning algorithms
Chapter 17: An intelligent approach using convolutional neural network (CNN) for early detection of melanoma and other skin diseases
Chapter 18: Self-organizing deep learning approach for controlling movements of wheeled apparatus through corneal connotation
Chapter 19: Prediction of breast tumour outcome to chemotherapy using statistical MR images through deep learning approaches
Chapter 20: Risk analysis and prediction of cancer associated with Type II diabetes: a review
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
diseases; medical image processing; health care; Internet of Things; deep learning (artificial intelligence)
Chapter 1: COVID-19 detection in X-ray images using customized CNN model
Chapter 2: Introducing deep learning in medical diagnosis
Chapter 3: Intelligent approach for network intrusion detection system (NIDS) utilizing machine learning (ML)
Chapter 4: Classification methodologies in healthcare
Chapter 5: Introducing deep learning in medical domain
Chapter 6: Deep-stacked autoencoder for medical image classification
Chapter 7: Comparison of machine learning and deep learning algorithms for prediction of coronary heart disease
Chapter 8: Revolution in technology-enabled healthcare: Internet of Things
Chapter 9: Smart healthcare monitoring framework using IoT with big data analytics
Chapter 10: Experimental analysis and investigation of dementia detection framework using EHR-based variant LSTM model
Chapter 11: An intelligent agent-based distributed patient scheduling using token-based coordination approach: a case study
Chapter 12: Internet of Things (IoT) for the efficient healthcare system
Chapter 13: Comprehension of melody representation and speed-up approaches for query by humming system
Chapter 14: Python for digital health solutions: elevated outcomes
Chapter 15: IoT-enabled healthcare - a paradigm shift
Chapter 16: IoT-based cardiovascular prediction framework using deep learning algorithms
Chapter 17: An intelligent approach using convolutional neural network (CNN) for early detection of melanoma and other skin diseases
Chapter 18: Self-organizing deep learning approach for controlling movements of wheeled apparatus through corneal connotation
Chapter 19: Prediction of breast tumour outcome to chemotherapy using statistical MR images through deep learning approaches
Chapter 20: Risk analysis and prediction of cancer associated with Type II diabetes: a review
Chapter 2: Introducing deep learning in medical diagnosis
Chapter 3: Intelligent approach for network intrusion detection system (NIDS) utilizing machine learning (ML)
Chapter 4: Classification methodologies in healthcare
Chapter 5: Introducing deep learning in medical domain
Chapter 6: Deep-stacked autoencoder for medical image classification
Chapter 7: Comparison of machine learning and deep learning algorithms for prediction of coronary heart disease
Chapter 8: Revolution in technology-enabled healthcare: Internet of Things
Chapter 9: Smart healthcare monitoring framework using IoT with big data analytics
Chapter 10: Experimental analysis and investigation of dementia detection framework using EHR-based variant LSTM model
Chapter 11: An intelligent agent-based distributed patient scheduling using token-based coordination approach: a case study
Chapter 12: Internet of Things (IoT) for the efficient healthcare system
Chapter 13: Comprehension of melody representation and speed-up approaches for query by humming system
Chapter 14: Python for digital health solutions: elevated outcomes
Chapter 15: IoT-enabled healthcare - a paradigm shift
Chapter 16: IoT-based cardiovascular prediction framework using deep learning algorithms
Chapter 17: An intelligent approach using convolutional neural network (CNN) for early detection of melanoma and other skin diseases
Chapter 18: Self-organizing deep learning approach for controlling movements of wheeled apparatus through corneal connotation
Chapter 19: Prediction of breast tumour outcome to chemotherapy using statistical MR images through deep learning approaches
Chapter 20: Risk analysis and prediction of cancer associated with Type II diabetes: a review
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
