Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014)
Abstract Comorbidity networks have become a valuable tool to support data-driven biomedical research. Yet, studies often are severely hindered by the availability of the necessary comprehensive data, often due to the sensitivity of health care information. This study presents a population-wide comor...
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| Format: | Article |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04508-9 |
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| author | Elma Dervić Katharina Ledebur Stefan Thurner Peter Klimek |
| author_facet | Elma Dervić Katharina Ledebur Stefan Thurner Peter Klimek |
| author_sort | Elma Dervić |
| collection | DOAJ |
| description | Abstract Comorbidity networks have become a valuable tool to support data-driven biomedical research. Yet, studies often are severely hindered by the availability of the necessary comprehensive data, often due to the sensitivity of health care information. This study presents a population-wide comorbidity network dataset derived from 45 million hospital stays of 8.9 million patients over 17 years in Austria. We present co-occurrence networks of hospital diagnoses, stratified by age, sex, and observation period in a total of 96 different subgroups. For each of these groups we report a range of association measures (e.g., count data, and odds ratios) for all pairs of diagnoses. The dataset provides the possibility to researchers to create their own, tailor-made comorbidity networks from real patient data that can be used as a starting point in quantitative and machine learning methods. This data platform is intended to lead to deeper insights into a wide range of epidemiological, public health, and biomedical research questions. |
| format | Article |
| id | doaj-art-f0388d624b8644fab2e6e001a78b93e5 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-f0388d624b8644fab2e6e001a78b93e52025-02-09T12:11:30ZengNature PortfolioScientific Data2052-44632025-02-0112111010.1038/s41597-025-04508-9Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014)Elma Dervić0Katharina Ledebur1Stefan Thurner2Peter Klimek3Institute of the Science of Complex Systems, Center for Medical Data Science, Medical University of ViennaInstitute of the Science of Complex Systems, Center for Medical Data Science, Medical University of ViennaInstitute of the Science of Complex Systems, Center for Medical Data Science, Medical University of ViennaInstitute of the Science of Complex Systems, Center for Medical Data Science, Medical University of ViennaAbstract Comorbidity networks have become a valuable tool to support data-driven biomedical research. Yet, studies often are severely hindered by the availability of the necessary comprehensive data, often due to the sensitivity of health care information. This study presents a population-wide comorbidity network dataset derived from 45 million hospital stays of 8.9 million patients over 17 years in Austria. We present co-occurrence networks of hospital diagnoses, stratified by age, sex, and observation period in a total of 96 different subgroups. For each of these groups we report a range of association measures (e.g., count data, and odds ratios) for all pairs of diagnoses. The dataset provides the possibility to researchers to create their own, tailor-made comorbidity networks from real patient data that can be used as a starting point in quantitative and machine learning methods. This data platform is intended to lead to deeper insights into a wide range of epidemiological, public health, and biomedical research questions.https://doi.org/10.1038/s41597-025-04508-9 |
| spellingShingle | Elma Dervić Katharina Ledebur Stefan Thurner Peter Klimek Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014) Scientific Data |
| title | Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014) |
| title_full | Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014) |
| title_fullStr | Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014) |
| title_full_unstemmed | Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014) |
| title_short | Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014) |
| title_sort | comorbidity networks from population wide health data aggregated data of 8 9m hospital patients 1997 2014 |
| url | https://doi.org/10.1038/s41597-025-04508-9 |
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