Exploring Healthcare Trends: A Python-Powered Analysis of Doctor Visits
Creators
- 1. Department of Information Technology, Anurag University, Hyderabad, India.
Contributors
Contact person:
Researchers:
- 1. Department of Information Technology, Anurag University, Hyderabad, India.
Description
Abstract: This project delves into an analysis of the "Dr.Visits" dataset using Python tools and libraries, aiming to uncover insights into patterns and relationships related to doctor visits and health conditions. Through data visualization techniques and statistical methods, the project seeks to reveal key trends and correlations within the dataset. Initial steps involve importing the dataset and exploring its characteristics, including variables like gender, age, income, and illness distribution. The analysis focuses on understanding how these variables impact doctor visits and health-related activities. Notably, the project highlights gender-based variations in reduced activity due to illness, prompting further exploration of potential contributing factors. In summary, this project provides valuable insights into healthcare and patient behavior through the lens of the "Dr.Visits" dataset.
Files
E984013050424.pdf
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Additional details
Identifiers
- DOI
- 10.54105/ijdcn.E9840.04030424
- EISSN
- 2582-760X
Dates
- Accepted
-
2024-04-15Manuscript received on 12 March 2024 | Revised Manuscript received on 13 April 2024 | Manuscript Accepted on 15 April 2024 | Manuscript published on 30 May 2024.
References
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