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原文連結
論文資訊
- 類型：已發表論文
- 日期：2025-02-05
摘要
Comorbidity 網絡s 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 資訊. This study presents a 族群-wide comorbidity 網絡 dataset derived from 45 million hospital stays of 8.9 million patients over 17 years in Austria. We present co-occurrence 網絡s 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 網絡s from real patient data that can be used as a starting p
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