Machine Learning for Healthcare Handling and Managing Data
Innbundet /
2020
/ Engelsk
Produktdetaljer
ISBN
9780367352332
Publisert
2020-12-09
Utgiver
Vendor
Chapman & Hall/CRC
Vekt
449 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
204
Biographical note
Rashmi Agrawal, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Dac-Nhuong Le
Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them.Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector.The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.
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This book will provide in depth information about handling and managing healthcare data by Machine Learning methods. It will express the long-standing challenges in healthcare informatics and provide rational orientations on how to deal with them.
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ContentsPreface..................................................................................................................... viiAcknowledgments..................................................................................................xiEditors.................................................................................................................... xiiiList of Contributors............................................................................................. xvii1. Fundamentals of Machine Learning...........................................................1Rashmi Agrawal2. Medical Information Systems..................................................................... 17Uday Sah, Abhushan Chataut, and Jyotir Moy Chatterjee3. The Role of Metaheuristic Algorithms in Healthcare...........................25G. Uma Maheswari, R. Sujatha, V. Mareeswari, and E. P. Ephzibah4. Decision Support System to Improve Patient Care................................ 41V. Diviya Prabha and R. Rathipriya5. Effects of Cell Phone Usage on Human Health and Specificallyon the Brain.....................................................................................................53Soobia Saeed, Afnizanfaizal Abdullah, N. Z. Jhanjhi, Mehmood Naqviand Shakeel Ahmed6. Feature Extraction and Bio Signals............................................................ 69A. Mary Judith, S Baghavathi Priya, N. Kanya, and Jyotir Moy Chatterjee7. Comparison Analysis of Multidimensional Segmentation UsingMedical Health-Care Information............................................................. 81Soobia Saeed, Afnizanfaizal Abdullah, N. Z. Jhanjhi, Memood Naqvi,and Azeem Khan8. Deep Convolutional Network Based Approach for Detectionof Liver Cancer and Predictive Analytics on Cloud...............................95Pramod H. B. and Goutham M.9. Performance Analysis of Machine Learning Algorithm forHealthcare Tools with High Dimension Segmentation...................... 115Soobia Saeed, Afnizanfaizal Abdullah, N. Z. Jhanjhi, Memood Naqviand Mamoona Humayun10. Patient Report Analysis for Identification andDiagnosis of Disease.................................................................................. 129Muralidharan C., Mohamed Sirajudeen Y., and Anitha R.11. Statistical Analysis of the Pre- and Post-Surgery in theHealthcare Sector Using High Dimension Segmentation.................. 159Soobia Saeed, Afnizanfaizal Abdullah, N. Z. Jhanjhi, Memood Naqvi,and Mamoona Humayun12. Machine Learning in Diagnosis of Children with Disorders........... 175Lokesh Kumar Saxena and Manishikha Saxena13. Forecasting Dengue Incidence Rate in Tamil Nadu UsingARIMA Time Series Model...................................................................... 187S. Dhamodharavadhani, R. RathipriyaIndex......................................................................................................................203
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Produktdetaljer
ISBN
9780367352332
Publisert
2020-12-09
Utgiver
Vendor
Chapman & Hall/CRC
Vekt
449 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
204