Association Patterns of Ontological Features Signify Electronic Health Records in Liver Cancer
المؤلفون المشاركون
Chan, Lawrence W. C.
Wong, S. C. Cesar
Chiau, Choo Chiap
Chan, Tak-Ming
Tao, Liang
Feng, Jinghan
Chiu, Keith W. H.
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-06
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Electronic Health Record (EHR) system enables clinical decision support.
In this study, a set of 112 abdominal computed tomography imaging examination reports, consisting of 59 cases of hepatocellular carcinoma (HCC) or liver metastases (so-called HCC group for simplicity) and 53 cases with no abnormality detected (NAD group), were collected from four hospitals in Hong Kong.
We extracted terms related to liver cancer from the reports and mapped them to ontological features using Systematized Nomenclature of Medicine (SNOMED) Clinical Terms (CT).
The primary predictor panel was formed by these ontological features.
Association levels between every two features in the HCC and NAD groups were quantified using Pearson’s correlation coefficient.
The HCC group reveals a distinct association pattern that signifies liver cancer and provides clinical decision support for suspected cases, motivating the inclusion of new features to form the augmented predictor panel.
Logistic regression analysis with stepwise forward procedure was applied to the primary and augmented predictor sets, respectively.
The obtained model with the new features attained 84.7% sensitivity and 88.4% overall accuracy in distinguishing HCC from NAD cases, which were significantly improved when compared with that without the new features.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chan, Lawrence W. C.& Wong, S. C. Cesar& Chiau, Choo Chiap& Chan, Tak-Ming& Tao, Liang& Feng, Jinghan…[et al.]. 2017. Association Patterns of Ontological Features Signify Electronic Health Records in Liver Cancer. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1181140
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chan, Lawrence W. C.…[et al.]. Association Patterns of Ontological Features Signify Electronic Health Records in Liver Cancer. Journal of Healthcare Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1181140
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chan, Lawrence W. C.& Wong, S. C. Cesar& Chiau, Choo Chiap& Chan, Tak-Ming& Tao, Liang& Feng, Jinghan…[et al.]. Association Patterns of Ontological Features Signify Electronic Health Records in Liver Cancer. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1181140
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181140
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر