Intelligent interactive multimedia systems for e-healthcare applications / edited by Shaveta Malik, PhD, Amit Kumar Tyagi, PhD

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Palm Bay, FL ; Burlington, ON : Apple Academic Press, 2023Verlag: Boca Raton, FL ; Abingdon, Oxon, UK : CRC Press, 2023Auflage: First editionBeschreibung: 1 Online-RessourceISBN:

9781000573022
1000573028
9781000573077
1000573079

Schlagwörter:

Andere physische Formen: 9781003282112. | 1003282113 | 9781774910221. | 9781774910238. | 1774910225 | 9781774910221 | Erscheint auch als: Intelligent interactive multimedia systems for e-healthcare applications. Druck-Ausgabe. Palm Bay, FL ; Burlington, ON : Apple Academic Press ; Boca Raton, FL ; Abingdon, Oxon, UK : CRC Press, 2023DDC-Klassifikation:

610.285/63

LOC-Klassifikation:

R855.3

NLM-Klassifikation:

W 83.1

Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: Data Visualization for Health Care / S. Usharani, P. Manju Bala, R. Rajmohan, T. Ananth Kumar, and M. Pavithra -- Health Monitoring and Management System Using Machine Learning Techniques / Bharati Patil and Vydeki D. -- A Study on Fusion Methods and Their Applications in Medical Image Processing / P. Nischitha and Chandra Singh -- A Study on an Elderly Caretaker Bot Using Computer Vision and Artificial Intelligence / Chandra Singh, P. Nischitha, Ashwath Rao, Shailesh S. Shetty, and Pavanalaxmi -- Knowledge Shift for Candidate Categorization in Lung Nodule Detection Using 3D Convolutional Neural Network / P. Manju Bala, S. Usharani, R. Rajmohan, M. Pavithra, and T. Ananth Kumar -- Data Mining Techniques : Risk-Wise Classification of Countries toward Prediction and Analysis of Worldwide COVID-19 Dataset / Sachin Kamley -- Mathematical Model of COVID-19 Diagnosis Prediction Using Machine Learning Techniques / V. Kakulapati and M. Nagaraju -- Detection and Classification of Knee Osteoarthritis Using Texture Descriptor Algorithms / Anjani Hegde, Rishma Mary George, and H.D. Ranjith -- Sensor Cloud-Based Theoretical Machine Learning Models for Predicting Pandemic Diseases / Prashant Sangulagi and Ashok V Sutagundar -- Applications of Machine Learning Algorithms in Fetal ECG Enhancement for E- Healthcare / Yojana Sharma, Shashwati Ray, and Om Prakash Yadav -- Blockchain for Wearable Internet of Things in Healthcare / Shubhangi Kharche and Rizwana Shaikh -- AI-Based Robotics in E-Healthcare Applications / P. Praveen Kumar, T. Ananth Kumar, R. Rajmohan, and M. Pavithra -- Automated Health Monitoring System Using Internet of Things for Improving Healthcare / Vergin Raja Sarobin M., Sherly Alphonse, and Jani Anbarasi L. -- Biomedical Data Analysis: Current Status and Future Trends / Amit Kumar Tyagi, S.U. Aswathy, and Shaveta Malik -- Healthcare 4.0 in Prospective of Respiratory Support System and Artificial Lung / Moupali Roy, Arpan Das, Biswarup Neogi, and Prabir Saha -- Lifestyle Revolution : The Way to Healthcare, Case of India / Raju K. Kurian, Jyotsna Haran, and Saurabh Ojha -- Internet of Things-Based Cloud Applications: Open Issues, Challenges and Future Research Directions / Siddharth M. Nair, R. Varsha, Amit Kumar Tyagi, and S.U. Aswathy -- Genomics and Genetic Data : A Third Eye for Doctors / M.Shamila, Amit Kumar Tyagi, and S.U. Aswathy.Zusammenfassung: "This new volume explores how the merging of interactive multimedia with artificial intelligence has created new and advanced tools in healthcare. It looks at how the latest technologies (artificial intelligence, deep learning, machine learning, big data, IoT, smart device, etc.) help to manage health data, diagnose health issues, monitor treatment, predict pandemic diseases, and more. The book covers several important applications of multimedia in healthcare, including for data visualization purposes, for computer vision for elder healthcare monitoring, for detection of lung nodules, for health monitoring and management systems using machine learning techniques, and for fusion applications in medical image processing. The book goes into detail on the various methods and techniques for supporting multimedia systems for e-healthcare. The chapter authors discuss using data mining and machine learning techniques in the context of COVID-19 diagnosis and prediction, in detecting knee osteoarthritis using texture descriptor algorithms, in applying algorithms in fetal ECG enhancement using blockchain for wearable internet of things in healthcare, and more. A chapter also reviews how doctors can make good use of genomics and genetic data through advanced technology. The book concludes with discussions of open issues, challenges, and future research directions for using intelligent interactive multimedia in healthcare. Key features: provides an in-depth understanding of emerging technologies and integration of artificial intelligence, deep learning, big data, IoT in healthcare, details specific applications for the use of AI, big data, and IoT in healthcare, discusses how AI technology can help in formulating protective measures for COVID-19 and other diseases, includes case studies. Intelligent Interactive Multimedia Systems for e-Healthcare Applications will be valuable to undergraduate and graduate students planning their careers in either industry or research and to software engineers for using multimedia with artificial intelligence, deep learning, big data, and IoT for healthcare applications."--PPN: PPN: 1882640403Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB

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