Healthcare Big Data Analytics : : Computational Optimization and Cohesive Approaches / / ed. by Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2024 Part 1
• MitwirkendeR: Abdulraheem, Muyideen,; Abidemi Adeniyi, Emmanuel,; Agravanshi, Subandhu,; Bamidele Awotunde, Joseph,; Dauda Oladipo, Idowu,; Ganeshkumar, M.,; Gohil, Jay,; Gopalakrishnan, E. A.,; Holi, Ganga,; Kumar Bhoi, Akash,; Kumar Lenka, Asit,; Kumar Mahendran, Rakesh,; Kumar Tripathy, Hrudaya,; Lucky Imoize, Agbotiname,; Madhu, B.,; Maity, Arpan,; Mallik, Sitikantha,; Mishra, Niyati,; Mishra, Sushruta,; Mohanty, Suneeta,; Neranjan Thilakarathne, Navod,; Olalekan Raheem, Muiz,; Olayinka Dauda, Sulaimon,; Oluwasegun Osemudiame, Ige,; Oluwasenu Ogundokun, Roseline,; Panigrahi, Ranjit,; Patel, Jay,; Samarasinghe, Rohan,; Shankar Mishra, Bhabani,; Soman, K. P.,; Sowmya, V.,; Visalakshi, S.,; Walia, Muskaan,
• HerausgeberIn: Albuquerque, Victor, Hugo C. de,; H. Jhaveri, Rutvij,; Kumar Bhoi, Akash,; Panigrahi, Ranjit,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2024]; ©2024
• Year of Publication: 2024
• Language: English
• Series: Intelligent Biomedical Data Analysis , 10
• Physical Description: 1 online resource (X, 344 p.)

This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.

Table of Contents

Frontmatter -- Preface -- Contents -- 1 Integration of neutrosophic logic for faster effective treatment of cancer patients -- 2 Comparison of optimization techniques particle swarm optimization with genetic algorithm for medical image watermarking -- 3 An analytical study of AI in overcoming mental illness -- 4 COVID-19 case analysis and prediction using regression models -- 5 Computer vision for medical diagnosis and surgery -- 6 Detection of COVID-19 in IoMT cloud-based system using ensemble machine learning algorithms -- 7 Prediction of big medical data using data analytics and deep learning -- 8 Impact of deep learning applications in medical hyper spectral imaging -- 9 Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare -- 10 Application of big data analytic techniques for healthcare systems -- 11 Big data security and privacy in healthcare -- 12 Healthcare encryption using augmented intelligence -- 13 Security system design for medical big data: layered security framework for protecting medical big data -- 14 Big data analytics in effective implementation of healthcare management -- Brief biographies -- Index