دانلود مقاله ISI انگلیسی شماره 46760
عنوان فارسی مقاله

مدیریت وقفه داوطلبانه از بارداری با استفاده از داده کاوی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46760 2014 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Managing Voluntary Interruption of Pregnancy Using Data Mining ☆
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia Technology, Volume 16, 2014, Pages 1297–1306

کلمات کلیدی
داده کاوی - بیمارستان زنان و زایمان - وقفه داوطلبانه بارداری -
پیش نمایش مقاله
پیش نمایش مقاله مدیریت وقفه داوطلبانه از بارداری با استفاده از داده کاوی

چکیده انگلیسی

When a woman aims to terminate an unplanned pregnancy, she must go to a specialized healthcare unit, such as Júlio Dinis Maternity Hospital. In this unit, the procedures of voluntary interruption of pregnancy are done by two kinds of drug administration: the first one is always done by a nursing team, the second one can be performed at home or by a nursing team, depending on patient features. It is important to give the best option to the pregnant. In this paper, it is proposed to predict whether the second drug phase is done at home or at the hospital. The use of Data Mining (DM) helps in performing this step. Throughout this study, DM models capable to make predictions in a real environment using real data were induced. It was adopted the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. Four distinct techniques were considered: Decision Tree (DT), Naïve Bayes (NB), Support Vector Machine (SVM) and Generalized Linear Models (GLM) to perform classification tasks. Using these techniques it was possible to obtain acceptable results for each model. A value greater than 89% of accuracy and 91% in sensibility was achieved in some models.

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