التفاصيل البيبلوغرافية
| العنوان: |
Predicting Stroke from Electronic Health Records. |
| المؤلفون: |
Nwosu CS, Dev S, Bhardwaj P, Veeravalli B, John D |
| المصدر: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2019 Jul; Vol. 2019, pp. 5704-5707. |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: [Piscataway, NJ] : [IEEE], [2007]- |
| مواضيع طبية MeSH: |
Electronic Health Records* , Stroke*/diagnosis, Algorithms ; Data Mining ; Forecasting ; Humans ; Machine Learning ; Prognosis |
| مستخلص: |
Studies have identified various risk factors associated with the onset of stroke in an individual. Data mining techniques have been used to predict the occurrence of stroke based on these factors by using patients' medical records. However, there has been limited use of electronic health records to study the inter-dependency of different risk factors of stroke. In this paper, we perform an analysis of patients' electronic health records to identify the impact of risk factors on stroke prediction. We also provide benchmark performance of the state-of-art machine learning algorithms for predicting stroke using electronic health records. |
| تواريخ الأحداث: |
Date Created: 20200118 Date Completed: 20200608 Latest Revision: 20200928 |
| رمز التحديث: |
20231215 |
| DOI: |
10.1109/EMBC.2019.8857234 |
| PMID: |
31947147 |
| قاعدة البيانات: |
MEDLINE |
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