Aneesh Bose1
, Deblina Pal2
, Radhakrishna Jana3
Section:Research Paper, Product Type: Journal Paper
Volume-11 ,
Issue-01 , Page no. 323-330, Nov-2023
Online published on Nov 30, 2023
Copyright © Aneesh Bose, Deblina Pal, Radhakrishna Jana . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Aneesh Bose, Deblina Pal, Radhakrishna Jana, “Population Health Tracking System: Analyzing Health Data for Effective Healthcare Planning,” International Journal of Computer Sciences and Engineering, Vol.11, Issue.01, pp.323-330, 2023.
MLA Style Citation: Aneesh Bose, Deblina Pal, Radhakrishna Jana "Population Health Tracking System: Analyzing Health Data for Effective Healthcare Planning." International Journal of Computer Sciences and Engineering 11.01 (2023): 323-330.
APA Style Citation: Aneesh Bose, Deblina Pal, Radhakrishna Jana, (2023). Population Health Tracking System: Analyzing Health Data for Effective Healthcare Planning. International Journal of Computer Sciences and Engineering, 11(01), 323-330.
BibTex Style Citation:
@article{Bose_2023,
author = {Aneesh Bose, Deblina Pal, Radhakrishna Jana},
title = {Population Health Tracking System: Analyzing Health Data for Effective Healthcare Planning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2023},
volume = {11},
Issue = {01},
month = {11},
year = {2023},
issn = {2347-2693},
pages = {323-330},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1452},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1452
TI - Population Health Tracking System: Analyzing Health Data for Effective Healthcare Planning
T2 - International Journal of Computer Sciences and Engineering
AU - Aneesh Bose, Deblina Pal, Radhakrishna Jana
PY - 2023
DA - 2023/11/30
PB - IJCSE, Indore, INDIA
SP - 323-330
IS - 01
VL - 11
SN - 2347-2693
ER -
The primary objective of this undertaking is to acquire a comprehensive understanding of the health status of a designated region, be it a district, state, or even an entire country. The central methodology employed in this project involves the meticulous accumulation of significant health-related data, which is subsequently translated into visually informative displays. To
facilitate this, an extensive survey was meticulously conducted among the populace of Assam, constituting a pivotal phase in the data acquisition process. The resultant data corpus was then meticulously categorized according to their respective geographic subdivisions.
Within the realm of this analysis, particular focus was directed towards three prevalent ailments: asthma, chronic illnesses, and arthritis. These health conditions were chosen as the focal points due to their widespread impact on the populace. To effectively convey the prevalence of each malady, a standardized metric was employed wherein the frequency of cases was represented relative to a population of one lakh.
The utilization of graphical representations serves as a potent tool in conveying intricate health-related insights to a broader audience. By visually portraying the prevalence of key diseases across various districts, a clearer understanding of the health landscape emerges. This comprehensive approach to data collec- tion and visualization is pivotal in facilitating informed decision-
making processes for healthcare providers, policymakers, and stakeholders alike.
Big Data, Health care, Health Tracking System.
[1]Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation, Samuel L. Groseclose1 and David L. Buckeridge2.
[2]Implications of big data analytics in developing healthcare frameworks – A review Venketesh Palanisamy, Ramkumar Thirunavukarasu
[3]Leveraging big data in population health management, Timothy S. Wells1*, Ronald J. Ozminkowski2, Kevin Hawkins1, Gandhi R. Bhattarai3 and Douglas G. Armstrong4
[4]Big data handling mechanisms in the healthcare applications: A comprehensive and systematic literature review, Asma Pashazadeh, Nima Jafari Navimipour
[5]Methodologies for designing healthcare analytics solutions: A literature analysis, Shah J Miah, John Gammack, Najmul Hasan
[6]Leveraging big data in population health management Timothy S. Wells1*, Ronald J. Ozminkowski2, Kevin Hawkins1, Gandhi R. Bhattarai3 and Douglas G. Armstrong4
