چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | الهام مسرت |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | دانشکده مدیریت و اطلاع رسانی پزشکی |
| کد مقاله | 60303 |
| عنوان فارسی مقاله | Person centered prediction of survival in population based screening program by an intelligent clinical decision support system |
| عنوان لاتین مقاله | Person centered prediction of survival in population based screening program by an intelligent clinical decision support system |
| ناشر | 5 |
| آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ | خیر |
| عنوان نشریه (خارج از لیست فوق) | |
| نوع مقاله | Original Article |
| نحوه ایندکس شدن مقاله | ایندکس شده سطح دو – PMC |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | http://journals.sbmu.ac.ir/ghfbb/index.php/ghfbb/article/view/968 |
| To survey person centered survival rate in population based screening program by an intelligent clinical decision support system. Colorectal cancer is the most common malignancy and major cause of morbidity and mortality throughout the world. Colorectal cancer is the sixth leading cause of cancer death in Iran. In this survey, we used cosine similarity as data mining technique and intelligent system for estimating survival of at risk groups in the screening plan. step, MDS were coded by python language and matched with cosine similarity formula. Finally, survival rate by percent was illustrated in the user interface of national intelligent system. The national intelligent system was designed in PyCharm environment. Main data elements of intelligent system consist demographic information, age, referral type, risk group, recommendation and survival rate. Minimum data set related to survival comprise of clinical status, past medical history and socio-demographic information. Information of the covered population as a comprehensive database was connected to intelligent system and survival rate estimated for each patient. Mean range of survival of HNPCC patients and FAP patients were respectively 77.7% and 75.1%. Also, the mean range of the survival rate and other calculations have changed with the entry of new patients in the CRC registry by real-time. National intelligent system monitors the entire of risk group and reports survival rates by electronic guidelines and data mining technique and also operates according to the clinical process. This web base software has a critical role in the estimation survival rate in order to health care planning. Colorectal Cancer, Survival rate, Decision support system, Screening |
| نویسنده | نفر چندم مقاله |
|---|---|
| الهام مسرت | دوم |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| GHFBB-10-060.pdf | 1396/12/08 | 695481 | دانلود |
