<p>Currently, breast cancer is one of the most common cancers and a main reason of women death worldwide particularly in<strong> </strong>developing countries such as Iraq. our work aims to predict the type of tumor whether benign or malignant through models that were built using logistic regression and neural networks and we hope it will help doctors in detecting the type of breast tumor. Four models were set using binary logistic regression and two different types of artificial neural networks namely multilayer perceptron MLP and radial basis function RBF. Evaluation of validated and trained models was done using several performance metrics like accuracy, sensitivity, specificity, and AUC (area under receiver operating characteristic ROC).   Dataset was downloaded from UCI ml repository; it is composed of 9 attributes and 699 samples. The findings are clearly showing that the RBF NN classifier is the best in prediction of the type of breast tumors since it had recorded the highest performance in terms of correct classification rate (accuracy), sensitivity, specificity, and AUC (area under Receiver Operating Characteristic ROC) among all other models.</p>

Placenta previa refers to placenta which is totally or partly implanted in lower segment of the uterus. Mortality and morbidity of mother increase with placenta previa due to the increase in the incidence of bleeding during pregnancy. This study aims to define placenta previa prevalence among pregnant women at AL-Fallujah teaching hospital and to determine the risk factors and their association with placenta previa incidence in al-Fallujah city population.This retrospective cohort study investigated medical registry of 6339 gravid women in al-Fallujah teaching Hospital in Iraq. We find 13 cases of placenta previa (0.21%) amongst the 6339 cases registered. The risk factors that strongly appeared to affect the complication of pregnancy with placenta previa were; advanced maternal age of ≥ 35, parity, previous curettage and previous cesarean section (P<0.01).The most important pregnancy outcomes of the placenta previa were lost blood of mother more than five hundred cubic centimeter (P = 0.000) and Apgar score of the baby at first minute equal or less than 7 (P = 0.003), Placenta accretta and cesarean hysterectomy (P< 0.01).These findings are the same as those recorded in other research for Asian, American and European gravid women, with some other detected factors.