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Machine Learning And Ai For Healthcare: Big Data For Improved Health Outcomes/ (Record no. 135363)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02203nam a2200157Ia 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484277287 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610.28563 |
| Item number | PAN |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Author name | Panesar, Arjun |
| 245 #0 - TITLE STATEMENT | |
| Title | Machine Learning And Ai For Healthcare: Big Data For Improved Health Outcomes/ |
| Statement of responsibility, etc. | Arjun Panesar |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Apress, |
| Date of publication, distribution, etc. | 2020. |
| Place of publication, distribution, etc. | Berkeley : |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxx, 407 pages |
| 500 ## - GENERAL NOTE | |
| General note | This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data. The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things. You will understand how machine learning can be used to develop health intelligence-with the aim of improving patient health, population health, and facilitating significant care-payer cost savings. You will: Understand key machine learning algorithms and their use and implementation within healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Manage the complexities of massive data Be familiar with AI and healthcare best practices, feedback loops, and intelligent agents |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Apprentissage automatique Artificial intelligence Medical applications Computer software Intelligence |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | English Books |
| Koha item type | Home library | Current library | Shelving location | Date acquired | Bill Number | Accession Number | Full call number | Withdrawn status | Lost status | Not for loan | Collection |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Reference | Kalaignar Centenary Library Madurai | Kalaignar Centenary Library Madurai | ஆறாம் தளம் / Sixth floor | 15/05/2023 | 3012518 | 296807 | 610.28563 PAN | ENGLISH-REFERENCE BOOKS |