Pandemic Pulse: Unveiling Insights with the Global Health Tracker Through AI and ML
- Title
- Pandemic Pulse: Unveiling Insights with the Global Health Tracker Through AI and ML
- Creator
- Upreti K.; Verma V.S.; Verma A.; Vats P.; Patil S.; Kuwar V.
- Description
- The current study highlights the importance of data analysis by applying data visualization tools to help you understand the pandemic disease informational component, and how it can be converted into knowledge that might enhance decision-making processes. In Tableau, a software for displaying data, researchers have incorporated a pandemic disease informational component from Coursera to improve assessment and selection. After becoming familiar with the data and the data visualization technological advances, some of it will be expected to conduct an initial investigation to identify significant changes in the data that is under consideration, compile and present this pandemic disease informational component, and enhance the corporate decision-making process. This issue for inquiry highlights the significance of knowledge examination via the use of communication visualization applications to aid in your comprehension of the pandemic disease informational component as well as how it may be changed into knowledge that may enhance the process of arriving at decisions. The creators of the knowledge representation computation application scenario used data from Coursera to improve their studies and make decisions. One will need to conduct an exploratory inquiry to find notable trends within the data after familiarizing oneself with it by utilizing visualization programs to compile and distribute this data to improve the company's decision-making procedures. This specific software is designed to be utilized in an early administrative duties course, an undergraduate accounting data structure course, or a data analytics-only educational program as a basic introduction to an informative visualization computer application. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
- Source
- Lecture Notes in Networks and Systems, Vol-991 LNNS, pp. 191-203.
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Business intelligence; COVID-19; Dashboard; Data exploration; Data visualization; Data visualization techniques; Tableau
- Coverage
- Upreti K., CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India; Verma V.S., Bhagwan Parshuram Institute of Technology, Delhi, Rohini, India; Verma A., Dr. Akhilesh Das Gupta Institute of Professional Studies, Delhi, India; Vats P., Computer Science and Engineering, Manipal University Jaipur, Rajasthan, Jaipur, India; Patil S., Dr. D. Y. Patil Vidyapeeth, Centre for Online Learning, Pimpri, Pune, India; Kuwar V., Dr. D. Y. Patil Vidyapeeth, Centre for Online Learning, Pimpri, Pune, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981972549-6
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Upreti K.; Verma V.S.; Verma A.; Vats P.; Patil S.; Kuwar V., “Pandemic Pulse: Unveiling Insights with the Global Health Tracker Through AI and ML,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 28, 2025, https://archives.christuniversity.in/items/show/19333.