Computational Intelligence and Its Applications in Healthcare
portes grátis
Computational Intelligence and Its Applications in Healthcare
Johri, Prashant; Verma, Jitendra Kumar; Paul, Sudip
Elsevier Science Publishing Co Inc
07/2020
264
Mole
Inglês
9780128206041
15 a 20 dias
540
Descrição não disponível.
The impact of Internet of Things and data semantics on decision making for outpatient monitoring
Deep-learning approaches for health care: Patients in intensive care
Brain MRI image segmentation using nature-inspired Black Hole metaheuristic clustering approach
Blockchain for public health: Technology, applications, and a case study
Compression and multiplexing of medical images using optical image processing
Analysis of skin lesions using machine learning techniques
Computational intelligence using ontology-A case study on the knowledge representation in a clinical decision support system
Neural network-based abnormality detection for electrocardiogram time signals
Machine learning approaches for acetic acid test based uterine cervix image analysis
Convolutional neural network for biomedical applications
Alzheimer's disease classification using deep learning
Diabetic retinopathy identification using autoML
Knowledge-based systems in medical applications
Convolution neural network-based feature learning model for EEG-based driver alert/drowsy state detection
Analysis on the prediction of central line-associated bloodstream infections (CLABSI) using deep neural network classification
Deep-learning approaches for health care: Patients in intensive care
Brain MRI image segmentation using nature-inspired Black Hole metaheuristic clustering approach
Blockchain for public health: Technology, applications, and a case study
Compression and multiplexing of medical images using optical image processing
Analysis of skin lesions using machine learning techniques
Computational intelligence using ontology-A case study on the knowledge representation in a clinical decision support system
Neural network-based abnormality detection for electrocardiogram time signals
Machine learning approaches for acetic acid test based uterine cervix image analysis
Convolutional neural network for biomedical applications
Alzheimer's disease classification using deep learning
Diabetic retinopathy identification using autoML
Knowledge-based systems in medical applications
Convolution neural network-based feature learning model for EEG-based driver alert/drowsy state detection
Analysis on the prediction of central line-associated bloodstream infections (CLABSI) using deep neural network classification
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Alzheimer's disease; Amplitude grating; Artificial intelligence; Artificial neural network (ANN) classifier; Autoencoders; Automated cervical cancer screening; Biomedical imaging; Black Hole clustering; Blockchain; Brain image segmentation; CLABSI; Classification; Clinical decision support systems; Compression; Computational semantics; Convolution neural network; Convolutional neural network; Cryptocurrency; Data; Decision making; Deep convolutional neural network; Deep learning; Deep learning technique; Deep neural network; Dermoscope images; Diabetic retinopathy; Driver state; ECG; EEG; Expert system; Feature extraction; Fourier transform; HAI; Health care; Hospital readmission; Internet of Things; Knowledge representation; Knowledge-based system; Long short-term memory; Machine learning; Medical diagnosis; Monitoring; Mortality prediction; Multiplexing; Naive Bayes; Nature-inspired algorithms; Nature-inspired metaheuristic; Neural architecture search; Neural network; Ontological engineering; Ontology; PSNR; Public health; Real-time; Recurrent neural network; Skin cancer; Skull stripping; Support vector machine (SVM); SVM; Texture and wavelet features; Transfer learning; VIA; Visual inspection with acetic acid; Zonal filtering
The impact of Internet of Things and data semantics on decision making for outpatient monitoring
Deep-learning approaches for health care: Patients in intensive care
Brain MRI image segmentation using nature-inspired Black Hole metaheuristic clustering approach
Blockchain for public health: Technology, applications, and a case study
Compression and multiplexing of medical images using optical image processing
Analysis of skin lesions using machine learning techniques
Computational intelligence using ontology-A case study on the knowledge representation in a clinical decision support system
Neural network-based abnormality detection for electrocardiogram time signals
Machine learning approaches for acetic acid test based uterine cervix image analysis
Convolutional neural network for biomedical applications
Alzheimer's disease classification using deep learning
Diabetic retinopathy identification using autoML
Knowledge-based systems in medical applications
Convolution neural network-based feature learning model for EEG-based driver alert/drowsy state detection
Analysis on the prediction of central line-associated bloodstream infections (CLABSI) using deep neural network classification
Deep-learning approaches for health care: Patients in intensive care
Brain MRI image segmentation using nature-inspired Black Hole metaheuristic clustering approach
Blockchain for public health: Technology, applications, and a case study
Compression and multiplexing of medical images using optical image processing
Analysis of skin lesions using machine learning techniques
Computational intelligence using ontology-A case study on the knowledge representation in a clinical decision support system
Neural network-based abnormality detection for electrocardiogram time signals
Machine learning approaches for acetic acid test based uterine cervix image analysis
Convolutional neural network for biomedical applications
Alzheimer's disease classification using deep learning
Diabetic retinopathy identification using autoML
Knowledge-based systems in medical applications
Convolution neural network-based feature learning model for EEG-based driver alert/drowsy state detection
Analysis on the prediction of central line-associated bloodstream infections (CLABSI) using deep neural network classification
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Alzheimer's disease; Amplitude grating; Artificial intelligence; Artificial neural network (ANN) classifier; Autoencoders; Automated cervical cancer screening; Biomedical imaging; Black Hole clustering; Blockchain; Brain image segmentation; CLABSI; Classification; Clinical decision support systems; Compression; Computational semantics; Convolution neural network; Convolutional neural network; Cryptocurrency; Data; Decision making; Deep convolutional neural network; Deep learning; Deep learning technique; Deep neural network; Dermoscope images; Diabetic retinopathy; Driver state; ECG; EEG; Expert system; Feature extraction; Fourier transform; HAI; Health care; Hospital readmission; Internet of Things; Knowledge representation; Knowledge-based system; Long short-term memory; Machine learning; Medical diagnosis; Monitoring; Mortality prediction; Multiplexing; Naive Bayes; Nature-inspired algorithms; Nature-inspired metaheuristic; Neural architecture search; Neural network; Ontological engineering; Ontology; PSNR; Public health; Real-time; Recurrent neural network; Skin cancer; Skull stripping; Support vector machine (SVM); SVM; Texture and wavelet features; Transfer learning; VIA; Visual inspection with acetic acid; Zonal filtering
