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Advanced Prognostic Predictive Modelling in Healthcare Data Analytics / / edited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal
Advanced Prognostic Predictive Modelling in Healthcare Data Analytics / / edited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (317 pages)
Disciplina 610.28563
Collana Lecture Notes on Data Engineering and Communications Technologies
Soggetto topico Computational intelligence
Artificial intelligence
Quantitative research
Medical informatics
Computer simulation
Computational Intelligence
Artificial Intelligence
Data Analysis and Big Data
Health Informatics
Computer Modelling
Pronòstic mèdic
Simulació per ordinador
Intel·ligència artificial en medicina
Informàtica mèdica
Mineria de dades
Soggetto genere / forma Llibres electrònics
ISBN 981-16-0538-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data visualization in the transformation of healthcare industries -- Emerging Healthcare Problems in High Dimensional Data and Dimension Reduction -- Disease Prediction Using Data Mining and Machine Learning Techniques -- Prognostic modeling with the internet of Healthcare things applications -- Cancer Tissue Segmentation in Various Conditions with Semiautomatic and Automatic Approach -- Early Screening of COVID-19 from Chest CT using Deep Learning Technique -- Clinical Decision-Making and Predicting Patient Trajectories.
Record Nr. UNINA-9910483684603321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advancement of Machine Intelligence in Interactive Medical Image Analysis / / edited by Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey, Mamta Mittal
Advancement of Machine Intelligence in Interactive Medical Image Analysis / / edited by Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey, Mamta Mittal
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (336 pages)
Disciplina 610.28563
Collana Algorithms for Intelligent Systems
Soggetto topico Engineering - Data processing
Machine learning
Quantitative research
Signal processing
Computer vision
Data Engineering
Machine Learning
Data Analysis and Big Data
Signal, Speech and Image Processing
Computer Vision
ISBN 981-15-1100-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pragmatic Medical Image Analysis and Deep Learning: An Emerging Trend -- Aspect of Big Data in Medical Imaging to Extract the Hidden Information Using HIPI in HDFS Environment -- Image Segmentation using Deep Learning Techniques -- Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image -- Efficient ANN Algorithms for Sleep Apnea Detection using Transform Methods -- Medical Image Processing in Detection of Abdomen Diseases -- Multi-Reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data -- A New Approach of Intuitionistic Fuzzy Membership Matrix in Medical Diagnosis with Application -- Image Analysis and Automation of Data Processing in Assessment of Dental X-ray (OPG) Using MATLAB and Excel VBA -- Detecting Bone Fracture Using Transfer Learning -- GAN based novel approach for data augmentation with improved disease classification -- Automated glaucoma type identification using Machine learning or Deep learning techniques -- Glaucoma Detection from Retinal Fundus Images using RNFL Texture Analysis -- Artificial Intelligence based Glaucoma Detection -- Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach.
Record Nr. UNINA-9910483975203321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Prognostic Models in Healthcare: AI and Statistical Approaches / / edited by Tanzila Saba, Amjad Rehman, Sudipta Roy
Prognostic Models in Healthcare: AI and Statistical Approaches / / edited by Tanzila Saba, Amjad Rehman, Sudipta Roy
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (515 pages)
Disciplina 610.285
Collana Studies in Big Data
Soggetto topico Computational intelligence
Medical informatics
Computer simulation
Quantitative research
Neural networks (Computer science)
Computational Intelligence
Health Informatics
Computer Modelling
Data Analysis and Big Data
Mathematical Models of Cognitive Processes and Neural Networks
ISBN 981-19-2057-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Segmentation of White Blood Cells in Acute Myeloid Leukaemia Microscopic Images: The Current Challenges and Future Solutions -- Computer Vision Based Prognostic Modeling of COVID-19 from Medical Imaging -- Skin Lesion Classification From Dermoscopic Images with Deep Residual Network based Fused Pigmented Deep Feature Extraction and Entropy Based Best Features Selection Approach -- Computer Vision Technologies for COVID-19 Prediction, Diagnosis and Prevention -- Health monitoring methods in heart diseases based on data mining approach, a directional survey -- Machine learning based brain diseases diagnosing in electroencephalogram signals, Alzheimer and Parkinson's -- Skin Lesion Detection Using Recent Machine Learning Approaches -- Improving monitoring and controling parameters for Alzheimer's patients based on IoT -- A Novel Method for Lung Segmentation of Chest with Convolutional Neural Network -- Leukemia Detection Using Machine and Deep Learning Through Microscopic Images-A Review.
Record Nr. UNINA-9910583504803321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui