Polycystic ovary syndrome (PCOS) is a hormonal disorder that affects women at an early age. Manual detection of PCOS is a challenging task for specialists, however, detection of PCOS as quick and accurate could save the lives of millions of women over the world. Current studies use high dimension features which leads to a low estimation accuracy, and high execution time. However, in this article, we develop a new intelligence system to classify PCOS based on k-means coupled with a LS-SVM (K-M-SVM) using a lower number of features. The original dataset is preprocessed and then k-means is applied to select the most powerful features based on Euclidean distance to classify PCOS. It was found that the k-means cluster had a high potential in selection the most influential features and eliminating the poor ones. As a result, a total of six features are chosen to represent PCOS data from the original features. The selected feature set are fed to the LS-SVM to classify them into healthy and no healthy segments. Our findings showed that the proposed model (K-M-SVM) outperformed the state of the art, and it gained an accuracy of 99%. K E Y W O R D Sdetection, k-means, least square support vector machine (SLSVM), PCOS INTRODUCTIONEarly prediction of chronic diseases has become an important factor to improve the life quality of human. Most of clinical studies have focused on studying the relation between women with health issues and polycystic ovary syndrome (PCOS). 1 PCOS, is a hormonal disorder, can affect women of childbearing age of 15 to 44 causing health issues such as pregnancy failure. 2 There are many factors associated with PCOS that can increase the chance of getting PCOS including genetic, lifestyle, and diet. Clinical research showed that PCOS causes a hormonal imbalance that leads to severe issues for examples formation of follicles, cysts in the ovaries an imbalance in the level of androgen, increased hair growth, and weight gain. 3 According to the World Health Organization, PCOS risk can be increased in the case of obesity or genetics. Based on last published studies, PCOS have affected around 116 million women worldwide in 2012. [4][5][6] The global estimation of the PCOS are expected to be very high in the upcoming years. 4 Polycystic ovaries can lead to severe diseases in the long term, such as sleep apnea, type 2 diabetes, liver issues, coronary artery disease, and endometrial hyperplasia. 5 PCOS can also be associated with malignant tumor for example, cancerous diseases in the endometrium and breast. 7 Clinical treatments of PCOS include metformin therapy, luteinizing hormone, diet Plan, however, not all women can access these treatments especially in developing countries.At this time there is no definitive test to predict PCOS according to Rotterdam criteria. 8 Normally, specialists inspect patient's data visually to decide whether PCOS present or not based on the number of follicular cysts. This task is time consuming and gives low detection rate.In addition, it requires a high trained medical staff. ...