Computational Intelligence and Predictive Analysis for Medical Science : : A Pragmatic Approach / / ed. by Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian, Saif Ahmad.

• Superior document: Title is part of eBook package: De Gruyter DG Ebook Package English 2021
• MitwirkendeR: Aashish, Kumar,; Ansari, Afzal,; Anubhav, Kumar,; Arora, Ankita,; Basnett, Trilochana,; Chamoli, Naincy,; Das, Punam,; Elsa Jacob, Jisu,; Garg, Aryan,; Gautam, Kartik,; Gopal, Dharshini,; Guliani, Sanchit,; Gupta, Shubhi,; Kalita, Pranjit,; Kapoor, Namita,; Kumar Burnwal, Sourabh,; Kumar, Deepak,; Kumar, Praveen,; Kumar, Suresh,; Kumari, Maya,; Manjunath, N,; Mathur, Aakriti,; Mufassir Yaseen, Syed,; Muthuselvam, M.,; Parameshwari, M.A,; Rai, Sanjeev,; Raja, Priyanka,; Ruban, S,; Sharma, Nitin,; Sharma, Richa,; Sharma, Shubham,; Skariyachan, Sinosh,; Subramanian, J.V.,; Tewary, Tavishi,; Tyagi, Somil,; Vashisht, A Swati,
• HerausgeberIn: Ahmad, Saif,; Kumar, Praveen,; Mohammadian, Masoud,; Rawat, Seema,; Tanwar, Poonam,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2021]; ©2021
• Year of Publication: 2021
• Language: English
• Series: Intelligent Biomedical Data Analysis , 6
• Physical Description: 1 online resource (XIV, 319 p.)

This book uncovers stakes and possibilities offered by Computational Intelligence and Predictive Analytics to Medical Science. The main focus is on data technologies,classification, analysis and mining, information retrieval, and in the algorithms needed to elaborate the informations. A section with use cases and applications follows the two main parts of the book, respectively dedicated to the foundations and techniques of the discipline.

Table of Contents

Frontmatter -- Preface -- Contents -- List of contributors -- About the series -- About the editors -- Applications of computational intelligence and predictive analytics in screening potential lead molecules toward COVID-19: scope of repurposed drugs -- Classification and clustering algorithms in identifying patterns in medical science -- IoT – a supportive system for solving issues related to medical monitoring -- Bioheat transfer simulation during RFA -- Supervised classification and clustering algorithms for spatiotemporal change analysis assessment of urban growth -- Enabling data to develop an AI-based application for detecting malaria and dengue -- Pertinence of signal processing techniques in EEG analysis -- Fitness tracking diagnostics -- Personal big data–directed policies hoard and scrutinize colossal health data from emerging technologies -- Real-time patient health monitoring -- Forecasting, visualization and analysis of COVID-19 in India using time series modeling -- Noninvasive prediction techniques of diabetic retinopathy -- Change vector analysis in relation to terrain parameters using temporal remote sensing satellite data -- Cloud-based E-learning platforms -- Computational intelligence for analysis of urban surface temperature over various urban land cover features -- Predictive analysis of consumers’ perception and decision-making process toward e-healthcare services in India -- Index