Data Science for Effective Healthcare Systems

Herausgeber: Verma, Dinesh Chander; Bhatt, Ravindara; Thakral, Prateek; Singh, Hari

• Broschiertes Buch

Produktbeschreibung

This book has a prime focus on the importance of data science in the healthcare domain. The aim of the book is to provide the future scope of these technologies in the health care domain. It will benefit research scholar, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 214
• Erscheinungstermin: 7. Oktober 2024
• Englisch
• Abmessung: 254mm x 178mm
• Gewicht: 410g
• ISBN-13: 9781032307503
• ISBN-10: 1032307501
• Artikelnr.: 71556616

Autorenporträt

Hari Singh; Dinesh Chander Verma

Inhaltsangabe

1. Big Data in Healthcare: Applications and Challenges. 2. Impact Analysis
of COVID-19 on Different Countries: A Big Data Approach. 3. Overview of
Image Processing Technology in Healthcare Systems. 4. Artificial
Intelligence Fight Against the Covid-19 Coronavirus in Bharat. 5.
Classification Based Prediction Techniques Using ML: A Perspective for
Health Care. 6. Deep Learning for Drug Discovery: Challenges and
Opportunities. 7. Issues and Challenges Associated with Machine Learning
Tools for Health Care System. 8. Real-Time Data Analysis on Covid-19
Vaccination Progress over the World. 9. Descriptive, Predictive, and
Prescriptive Analytics in Healthcare. 10. IoT Enabled Worker Health, Safety
Monitoring and Visual Data Analytics. 11. Prevalence of Nomophobia and Its
Association with Text Neck Syndrome and Insomnia in Young Adults during
COVID-19. 12. The Role of AI, Fuzzy Logic System in Computational Biology
and Bioinformatics. 13. Analysis for Early Prediction of Diabetes in
Healthcare using Classification Techniques. 14. Nomenclature of Machine
learning Algorithms and Its Applications. 15. Breast Cancer Prognosis using
Machine Learning Approaches. 16. Machine Learning-Based Active Contour
Approach for the Recognition of Brain Tumor Progression. 17. A Deep Neural
Networks-Based Cost-Effective Framework for Diabetic Retinopathy Detection.