التفاصيل البيبلوغرافية
| العنوان: |
Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. |
| المؤلفون: |
Eryu Xia, Haifeng Liu, Jing Li, Jing Mei, Xuejun Li, Enliang Xu, Xiang Li, Gang Hu, Guotong Xie, Meilin Xu |
| المصدر: |
Medinfo; 2017, p1185-1189, 5p |
| مصطلحات موضوعية: |
HEALTH information technology, MEDICAL decision making, BLOOD lipids, TYPE 2 diabetes diagnosis, PATIENT acceptance of health care, HEALTH outcome assessment |
| مستخلص: |
Clinical decision support systems are information technology systems that assist clinical decision-making tasks, which have been shown to enhance clinical performance. Cluster analysis, which groups similar patients together, aims to separate patient cases into phenotypically heterogenous groups and defining therapeutically homogeneous patient subclasses. Useful as it is, the application of cluster analysis in clinical decision support systems is less reported. Here, we describe the usage of cluster analysis in clinical decision support systems, by first dividing patient cases into similar groups and then providing diagnosis or treatment suggestions based on the group profiles. This integration provides data for clinical decisions and compiles a wide range of clinical practices to inform the performance of individual clinicians. We also include an example usage of the system under the scenario of blood lipid management in type 2 diabetes. These efforts represent a step toward promoting patient-centered care and enabling precision medicine. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |