What is it about?
https://www.routledge.com/Intelligent-Healthcare-Systems/Estrela/p/book/9781032052724 Cyber-physical systems, blockchain, health4.0, artificial intelligence, cloud computing, fog computing, healthcare, smart designs, robotics, nanorobotics, pathology, hematology, image processing, biomedical engineering, theragnostics, biometrics, deep learning, metaheuristics, MRI, deep learning, ad hoc networks, nanotechnology, digital twins, PET, wearables, wireless communications, public health, Epidemiology, Disease Mapping, HEVC, 3D image compression, volumetric theragnostics, drug development, drug delivery, in-body device, on-body device, internet Layers, CBIR, remote healthcare, brain-computer interface, BCI, in-body networks, on-body networks.
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Why is it important?
https://www.routledge.com/Intelligent-Healthcare-Systems/Estrela/p/book/9781032052724 Information is paramount to the healthcare sector, entailing intense data, medical epidemiologic sets, Internet browsing records, surveys, complex engineering models, and so on via the Cloud. This quest for knowledge prompts the data dimensionality, which calls for more sophisticated and efficient information strategies. Health science and biology are very complex fields fully embedded in information technology, but the associated processes are much too intricate to be faithfully modeled. It is not easy to extract knowledge starting from raw data, and it is also expensive. Artificial intelligence (AI) in healthcare (AIH) has been the primary concern to develop expert systems aimed for diagnostic and decision-making in knowledge acquisition, representation, reasoning, and explanation. Many healthcare facilities (HFs) have data acquisition, monitoring, and storage systems integrated into larger-scale information systems. This vast amount of information and databases stemming from medical applications cause hinder analysis and decision making. Hence, there is a need to develop better tools for accessing/storing/analyzing knowledge while effectively using multimodal data. These necessities become essential in the healthcare realm as decision-making relies on knowledge from multidisciplinary areas. This book intends to provide computational methods for intelligent health data analysis to narrow the gap between data gathering and data comprehension with applications in medicine, health care, biology, pharmacology, and related areas. Intelligent Data Analysis (IDA) expedites healthcare analyses and applications. IDA employs specialized statistical, pattern recognition, machine learning (ML), data abstraction, and visualization tools for analysis of data and discovery of mechanisms that created them. Healthcare data typically involve many records/variables, subtle interactions between entities, or a combination of all factors. Engineering, computing science, and ML empower data analysis tasks. The IDA extracts knowledge from too much data, with a vast amount of variables, data that represents very complex, nonlinear, real-life problems. IDA can help raw data analysis, coping with prediction tasks without knowing the theoretical description of the underlying process, classification tasks of new events, or modeling unknown processes. Classification, prediction, and modeling are the cornerstones brought in by IDA.
Perspectives
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This page is a summary of: Intelligent Healthcare Systems, July 2023, Taylor & Francis,
DOI: 10.1201/9781003196822.
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Intelligent Healthcare Systems
TABLE OF CONTENTS Part I - Intelligence Meanings and Roles in Healthcare: Introductory Aspects, Chapter 1, Introduction to Intelligent Healthcare in a Post-Pandemic World, Vania V. Estrela, Asif Ali Laghari, Ricardo T. Lopes, Abdullah Ayub Khan, Shoulin Yin, Anand Deshpande, Chapter 2, The Building Blocks of Health 4.0 – Internet of Things, Big Data with Cloud and Fog Computing, Vania V. Estrela, Anand Deshpande, Ricardo T. Lopes, Aline C. Intorne, Dalmo Stutz, Luciana P. Oliveira, Chapter 3, Internet of Medical Things (IoMT) Layers for Medical Cyber-Physical Systems, Vania V. Estrela, Awais Khan Jumani, Asif Ali Laghari, Rashid Ali Laghari, Abdullah Ayub Khan, Maria A. de Jesus, Robert Sroufer, Ricardo T. Lopes, Chapter 4, Ad Hoc Networks in Healthcare Intelligent Transportation Systems Humanitary Relief – MANETs, VANETs, and FANETs, Vania V. Estrela, Anand Deshpande, Dalmo Stutz, Joaquim T. de Assis, Awais Khan Jumani, Abdullah Ayub Khan, Fuqian Shi, Shoulin Yin, Yu-Da Lin, Chapter 5, Scale and Resolution Issues regarding Medical Images: Challenges Ahead, Vania V. Estrela, Anand Deshpande, Ricardo T. Lopes, Shoulin Yin, Abdullah Ayub Khan, Jenice Aroma, Kumudha Raimond, Robert Sroufer, Yu-Da Lin, Chapter 6, Some Issues Regarding Content-Based Image Retrieval (CBIR) for Remote Healthcare Theradiagnosis, Vania V. Estrela, Abdullah Ayub Khan, Aftab Ahmed Shaikh, Asif Ali Laghari, Mazhar Ali Dootio, Mudassir Hussain, Awais Khan Jumani, Rukhsar Ayub, Chapter 7, Blockchain Technology Enabling Better Services in the Healthcare Domain, Vania V. Estrela, Maria A. de Jesus, Aline C. Intorne, Kate K.S. Batista, Anand Deshpande, Fuqian Shi, Abdullah Ayub Khan, Luciana P. Oliveira, Chapter 8, 6G in Healthcare – Anticipating Needs and Requirements, Vania V. Estrela, Anand Deshpande, Dalmo Stutz, Joaquim T. de Assis, Asif Ali Laghari, Fuqian Shi, Yu-Da Lin, Part II - Infrastructural Medical Applications, Chapter 9, Remote Sensing Applications in Disease Mapping and Public Health Analysis, Vania V. Estrela, Jenice Aroma, Robert Sroufer, Kumudha Raimond, Aline C. Intorne, Anand Deshpande, Asif Ali Laghari, Luciana P. Oliveira, Chapter 10, On DICOM, HEVC and 3D Medical Image Compression for Volumetric Theragnostics Vania V. Estrela, Anand Deshpande, Ricardo T. Lopes, Shoulin Yin, Nikolaos Andreopoulos, Andrey Terziev, Asif Ali Laghari, Chapter 11, Deep Learning as a Driving Force for Better Drug Development, Vania V. Estrela, Khuda Bukhsh, M. Malook Rind, Sarmad Shaikh, Abdullah Ayub Khan, Asif Ali Laghari, Anand Deshpande, Nikolaos Andreopoulos, Andrey Terziev, Chapter 12, In-Body Devices and Sensors Communication – How Implantables, Ingestibles, and Injectables Interact with the Internet, Vania V. Estrela, Edwiges G.H. Grata, Anand Deshpande, Robert Sroufer, Ricardo T. Lopes, Fuqian Shi, Khuda Bukhsh, M. Malook Rind, Sarmad Shaikh, Chapter 13, Nanotechnology, Internet of Nanothings and Nanorobotics in Healthcare - Nano for All, Vania V. Estrela, Aline C. Intorne, Kate K.S. Batista, Anand Deshpande, Robert Sroufer, Ricardo T. Lopes, Fuqian Shi, Shoulin Yin, Yu-Da Lin, Chapter 14, Digital Twin Framework for Intelligent Healthcare Facilities through ISO/IEEE 11073, Vania V. Estrela, Anand Deshpande, Robert Sroufer, Ricardo T. Lopes, Edwiges G.H. Grata, Nikolaos Andreopoulos, Andrey Terziev, Asif Ali Laghari, Part III - Advanced Applications Using AI, Chapter 15, Medical Visual Theragnostic Systems Using Artificial Intelligence (AI) – Principles and Perspectives, Vania V. Estrela, Maria A. de Jesus, Aline C. Intorne, Kate K.S. Batista, Anand Deshpande, Fuqian Shi, Asif Ali Laghari, Abdullah Ayub Khan, Luciana P. Oliveira, Chapter 16, Metaheuristics Applied to Pathology Image Analysis, Vania V. Estrela, Aline C. Intorne, Kate K.S. Batista, Anand Deshpande, Jenice Aroma, Kumudha Raimond, Fuqian Shi, Asif Ali Laghari, Yu-Da Lin, Chapter 17, Super-resolution Image Processing for Hemoglobin Quantification: A Case Study, A.A. Khurshid, Soni Chaturvedi, Boudjelal Meftah, Chapter 18, BrATCat: Data Augmentation of MRI Scans via Image-to-Image Translation Using CycleGAN Followed Pre-Trained Model Categorization, Preet Sanghavi, Shrey Dedhia, Siddharth Salvi, Kriti Srivastava, Chapter 101, Conclusion, Vania V. Estrela.
Book Cover - Intelligent Healthcare Systems
Book Cover - Intelligent Healthcare Systems #cyber-physicalsystems #artificialintelligence #healthcare #imageprocessing #smartsystem #nanorobotics #nanotechnology #wearables #ingectables #implantables #6G #injectables #WBAN #wirelesscommunication #DICOM #biomedicalengineering #internetofthings #internetofmedicalthings #health4.0 #Blockchain #DigitalTwin #cloudcomputing #fogcomputing #bigdata #AdHocNetworks #IntelligentTransportationSystems #HumanitaryRelief #MANETs #VANETs #FANETs #ImageScale #ImageResolution #MedicalImages #Content-BasedImageRetrieval #CBIR #RemoteHealthcare #Theradiagnosis #Metaheuristics #Pathology #Neuroscience #Hematology #PublicHealth #RemoteSensing #Satellite #PublicHealth #Epidemiology #DiseaseMapping #HEVC #3DMedicalImageCompression #VolumetricTheragnostics #DrugDevelopment #DrugDelivery #In-BodyDevice #On-BodyDevice #InternetLayers #BrainComputerInterface #BCI #In-BodyNetworks #On-BodyNetworks #DeepLearning #MRI
Presentation - Intelligent Healthcare Systems
Power-Point with information about the Taylor and Francis book entitled "Intelligent Healthcare Systems." #cyber-physicalsystems #artificialintelligence #healthcare #imageprocessing #smartsystem #nanorobotics #nanotechnology #wearables #ingectables #implantables #6G #injectables #WBAN #wirelesscommunication #DICOM #biomedicalengineering #internetofthings #internetofmedicalthings #health4.0 #Blockchain #DigitalTwin #cloudcomputing #fogcomputing #bigdata #AdHocNetworks #IntelligentTransportationSystems #HumanitaryRelief #MANETs #VANETs #FANETs #ImageScale #ImageResolution #MedicalImages #Content-BasedImageRetrieval #CBIR #RemoteHealthcare #Theradiagnosis #Metaheuristics #Pathology #Neuroscience #Hematology #PublicHealth #RemoteSensing #Satellite #PublicHealth #Epidemiology #DiseaseMapping #HEVC #3DMedicalImageCompression #VolumetricTheragnostics #DrugDevelopment #DrugDelivery #In-BodyDevice #On-BodyDevice #InternetLayers #BrainComputerInterface #BCI #In-BodyNetworks #On-BodyNetworks #DeepLearning #MRI
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