Artificial Intelligence in Data-Driven Analytics for the Personalized Healthcare
- Title
- Artificial Intelligence in Data-Driven Analytics for the Personalized Healthcare
- Creator
- Sivabalaselvamani D.; Selvakarthi D.; Yogapriya J.; Thiruvenkatasuresh M.P.; Maruthappa M.; Chandra A.S.
- Description
- Among the various developments in progress over the last decade, we have seen the generous growth of information investigation to take care of, plan, and use a lot of information beneficially. Be that as it may, because the analysis of evidence will only operate for authentic information and have findings as predefined by individuals, explicit principle-based calculations have been developed to broaden the investigation of information, 'Which is usually referred to as 'AI'. AI didn't expect PCs to be personalized unambiguously, which is a definite bit of leeway. In order to break down information and construct complicated equations to foresee models, which was called prescient analysis, AI was then joined with information inquiry. A set of laws characterized by persons, known as prescient equations, drive the prescient inquiry, and are used to break down genuine knowledge in order to predict potential outcomes. 2021 IEEE.
- Source
- 2021 International Conference on Computer Communication and Informatics, ICCCI 2021
- Date
- 2021-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Big Data Analytics; Data-driven analytics; Data-driven medicine; Digital health; Expert systems; Health intelligence; smart healthcare
- Coverage
- Sivabalaselvamani D., Kongu Engineering College Perundurai, Department of Computer Applications, Erode, Tamilnadu, 638060, India; Selvakarthi D., Kongu Engineering College Perundurai, Department of Electronics and Instrumentation Engineering, Erode, Tamilnadu, 638060, India; Yogapriya J., Kongunadu College of Engineering and Technology, Department of Computer Science and Engineering, Trichy, Tamilnadu, India; Thiruvenkatasuresh M.P., Erode Sengunthar Engineering College, Department of Computer Science and Engineering, Erode, Tamilnadu, India; Maruthappa M., School of Engineering and Technology, Sunway University, Malaysia; Chandra A.S., Institute of Management, Christ University (Deemed to Be University), Bengaluru, Karnataka, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-172815875-4
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sivabalaselvamani D.; Selvakarthi D.; Yogapriya J.; Thiruvenkatasuresh M.P.; Maruthappa M.; Chandra A.S., “Artificial Intelligence in Data-Driven Analytics for the Personalized Healthcare,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20507.