A large-scale risk assessment and classification model for pneumococcus using Finnish national health data
Streptococcus pneumoniae, or pneumococcus, poses a significant health risk, particularly to infants, the elderly, and individuals with underlying medical conditions. In Finland, pneumococcal vaccination is part of the national immunization program, with vaccination provided to young children and onl...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Healthcare Analytics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772442525000012 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841545531952726016 |
|---|---|
| author | Viljami Männikkö Juha Turunen Heidi Åhman Esa Harju |
| author_facet | Viljami Männikkö Juha Turunen Heidi Åhman Esa Harju |
| author_sort | Viljami Männikkö |
| collection | DOAJ |
| description | Streptococcus pneumoniae, or pneumococcus, poses a significant health risk, particularly to infants, the elderly, and individuals with underlying medical conditions. In Finland, pneumococcal vaccination is part of the national immunization program, with vaccination provided to young children and only selected at-risk adult populations included. This study aims to leverage the Finnish national electronic health record system, Kanta, to analyze treatment histories and identify individuals at increased risk for disease to improve vaccination strategies. Kanta provides a comprehensive, nationwide database of patient treatment histories, which can be utilized to track individual risk factors and disease episodes. We analyzed health data from 96,200 Finnish residents with risk factors for pneumococcal disease following guidelines from the Finnish Institute for Health and Welfare and the World Health Organization. We prioritize vaccination for those at the greatest risk by categorizing individuals based on their identified risk factors. This study demonstrates the potential for using national health record data to conduct large-scale risk analyses, allowing for more targeted and efficient vaccination strategies. The novelty of our approach lies in the automatic identification of high-risk individuals, which can inform public health initiatives and enhance the monitoring of pneumococcal disease risk at a population level. |
| format | Article |
| id | doaj-art-b5f73a9087e9423e8acaa823dc698e54 |
| institution | Kabale University |
| issn | 2772-4425 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Healthcare Analytics |
| spelling | doaj-art-b5f73a9087e9423e8acaa823dc698e542025-01-12T05:26:17ZengElsevierHealthcare Analytics2772-44252025-06-017100382A large-scale risk assessment and classification model for pneumococcus using Finnish national health dataViljami Männikkö0Juha Turunen1Heidi Åhman2Esa Harju3Tampere University, Kalevantie 4, 33100, Tampere, Finland; Atostek Oy, Hermiankatu 3, 33720, Tampere, Finland; Corresponding author. Atostek Oy, Hermiankatu 3, 33720, Tampere, Finland.Pfizer Oy, Tietokuja 4, 00330, Helsinki, FinlandPfizer Oy, Tietokuja 4, 00330, Helsinki, FinlandAtostek Oy, Hermiankatu 3, 33720, Tampere, FinlandStreptococcus pneumoniae, or pneumococcus, poses a significant health risk, particularly to infants, the elderly, and individuals with underlying medical conditions. In Finland, pneumococcal vaccination is part of the national immunization program, with vaccination provided to young children and only selected at-risk adult populations included. This study aims to leverage the Finnish national electronic health record system, Kanta, to analyze treatment histories and identify individuals at increased risk for disease to improve vaccination strategies. Kanta provides a comprehensive, nationwide database of patient treatment histories, which can be utilized to track individual risk factors and disease episodes. We analyzed health data from 96,200 Finnish residents with risk factors for pneumococcal disease following guidelines from the Finnish Institute for Health and Welfare and the World Health Organization. We prioritize vaccination for those at the greatest risk by categorizing individuals based on their identified risk factors. This study demonstrates the potential for using national health record data to conduct large-scale risk analyses, allowing for more targeted and efficient vaccination strategies. The novelty of our approach lies in the automatic identification of high-risk individuals, which can inform public health initiatives and enhance the monitoring of pneumococcal disease risk at a population level.http://www.sciencedirect.com/science/article/pii/S2772442525000012Risk assessmentDiagnostic analyticsClassificationFinnish national health dataKanta-servicesGroup-based analysis |
| spellingShingle | Viljami Männikkö Juha Turunen Heidi Åhman Esa Harju A large-scale risk assessment and classification model for pneumococcus using Finnish national health data Healthcare Analytics Risk assessment Diagnostic analytics Classification Finnish national health data Kanta-services Group-based analysis |
| title | A large-scale risk assessment and classification model for pneumococcus using Finnish national health data |
| title_full | A large-scale risk assessment and classification model for pneumococcus using Finnish national health data |
| title_fullStr | A large-scale risk assessment and classification model for pneumococcus using Finnish national health data |
| title_full_unstemmed | A large-scale risk assessment and classification model for pneumococcus using Finnish national health data |
| title_short | A large-scale risk assessment and classification model for pneumococcus using Finnish national health data |
| title_sort | large scale risk assessment and classification model for pneumococcus using finnish national health data |
| topic | Risk assessment Diagnostic analytics Classification Finnish national health data Kanta-services Group-based analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2772442525000012 |
| work_keys_str_mv | AT viljamimannikko alargescaleriskassessmentandclassificationmodelforpneumococcususingfinnishnationalhealthdata AT juhaturunen alargescaleriskassessmentandclassificationmodelforpneumococcususingfinnishnationalhealthdata AT heidiahman alargescaleriskassessmentandclassificationmodelforpneumococcususingfinnishnationalhealthdata AT esaharju alargescaleriskassessmentandclassificationmodelforpneumococcususingfinnishnationalhealthdata AT viljamimannikko largescaleriskassessmentandclassificationmodelforpneumococcususingfinnishnationalhealthdata AT juhaturunen largescaleriskassessmentandclassificationmodelforpneumococcususingfinnishnationalhealthdata AT heidiahman largescaleriskassessmentandclassificationmodelforpneumococcususingfinnishnationalhealthdata AT esaharju largescaleriskassessmentandclassificationmodelforpneumococcususingfinnishnationalhealthdata |