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 | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
| Lo trovi qui: Univ. Federico II | ||
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