Real-world Results of Atherectomy From International Classification of Diseases, 10th edition, Medicare Billing Codes Are Similar to Reported International Classification of Diseases, 9th edition, Data and Does Not Resemble Registry Data

Geographical Epidemiology of Cardiovascular Diseases in Zanjan Province: Analysis of Groups from the International Classification of Diseases, 10th Revision

Background and Objective: Cardiovascular diseases (CVDs) are the most common chronic diseases and the leading cause of death in the world and in Iran. The aim of this study was to explore the geographical epidemiology of CVDs in the province of Zanjan, Iran.  Materials and Methods: This cross-sectional study was carried out at Zanjan University of Medical Sciences. Patients with adischarge dia...

International Classification of Diseases--9th revision.

the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...

Positive predictive value of the International Classification of Diseases, 10th edition diagnosis codes for anemia caused by bleeding in the Danish National Registry of Patients

OBJECTIVE Valid data on anemia caused by bleeding are needed for epidemiological research and monitoring health care. The Danish National Registry of Patients (DNRP) is a nationwide medical database with information on all Danish residents' hospital history. We aimed to assess the positive predictive value (PPV) of the diagnostic coding of anemia caused by bleeding in the DNRP. METHODS In the...