التفاصيل البيبلوغرافية
العنوان:
Decision-making model for early diagnosis of congestive heart failure using rough set and decision tree approaches
المؤلفون:
Min Soo Kim , Yoon-Nyun Kim , Hyoung-Seob Park , Chang-Sik Son , Hyungseop Kim
المصدر:
Journal of Biomedical Informatics . (5):999-1008
بيانات النشر:
Elsevier Inc.
مصطلحات موضوعية:
Male , Congestive heart failure , Discernibility matrix and function , medicine.medical_specialty , Databases, Factual , Entropy , Decision tree , Health Informatics , Decision-making model , Logistic regression , Maximum entropy principle , Sensitivity and Specificity , Artificial Intelligence , Internal medicine , Medicine , Humans , Diagnosis, Computer-Assisted , Risk factor , Aged , Prothrombin time , Aged, 80 and over , Heart Failure , medicine.diagnostic_test , Receiver operating characteristic , business.industry , Decision Trees , Reproducibility of Results , Decision rule , Middle Aged , medicine.disease , Surgery , Computer Science Applications , Logistic Models , ROC Curve , Heart failure , Rough set , Cardiology , Female , business , Decision model , Algorithms
الوصف:
Graphical abstractDisplay Omitted Highlights? We have developed a decision-making model for CHF that uses RS and DT approaches. ? The model provides five critical factors and four decision rules associated with CHF. ? The four rules were found to be statistically significant (p
اللغة:
English
تدمد:
1532-0464
DOI:
10.1016/j.jbi.2012.04.013
الوصول الحر:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::529ad8fc94c1c2e3bec1749d3d786e81Test
حقوق:
OPEN
رقم الانضمام:
edsair.doi.dedup.....529ad8fc94c1c2e3bec1749d3d786e81
قاعدة البيانات:
OpenAIRE
