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Abstract
This study addresses the inequality in hospital resource distribution in Peru using Data Mining techniques. Analyzing hospitalization data from 2018 to 2022, we employed K-means, Linear Discriminant Analysis (LDA), and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) to identify patterns in hospital resource availability and inpatient service demand across different regions. Our findings reveal significant disparities, with resources concentrated in high-population urban areas, particularly Lima, and a predominance of public sector healthcare provision in inpatient settings. We identified potential saturation issues in departments like Lima and Arequipa, and substantial geographical discrepancies between inpatient care demand and hospital resource availability. Based on these insights, we propose targeted interventions to improve equity in hospital resource distribution, including resource redistribution and strengthening private sector capacity in underserved areas. This research provides valuable information for hospital policy planning and contributes to the broader goal of achieving equitable access to inpatient care in Peru.
Original language | English |
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Title of host publication | Proceedings of the 2024 IEEE XXXI International Conference on Electronics, Electrical Engineering and Computing (INTERCON) |
Subtitle of host publication | Lima, Peru, 6-8 November 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 979-8-3503-7834-4 |
DOIs | |
State | Published - 2024 |
Event | XXXI INTERCON 2024: 2024 IEEE XXVII International Conference on Electronics, Electrical Engineering and Computing - INTERCON - Universidad San Ignacio de Loyola , Lima, Peru Duration: 6 Nov 2024 → 8 Nov 2024 Conference number: 979-8-3503-7834-4/24 |
Congress
Congress | XXXI INTERCON 2024 |
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Abbreviated title | XXXI INTERCON 2024 |
Country/Territory | Peru |
City | Lima |
Period | 6/11/24 → 8/11/24 |
Keywords
- Healthcare inequality
- Resource distribution
- Data Mining
- K-means
- LDA
- DBSCAN
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Retrospective Analysis of Hospitalization Patterns in Peru: Insights on Inpatient Resource Utilization
Espezúa Llerena, S. (Speaker)
6 Nov 2024Activity: Participating in an event