حسنی, زینب
دانشگاه کوثر بجنورد
[ 1 ] - پیشبینی و تعیین عوامل مؤثر بر بقای پنجسالۀ کلیۀ پیوندی در دادههای نامتوازن با رویکرد فراابتکاری و یادگیری ماشین
Chronic kidney failure is one of the most widespread diseases in Iran and the world. In general, the disease is common in high health indexes societies due to increased longevity. Treatment for chronic kidney failure is dialysis and kidney transplantation. Kidney transplantation is an appropriate and effective strategy for patients with End-Stage Renal Disease (ESRD), and it provides a better l...
[ 2 ] - Intelligent application for Heart disease detection using Hybrid Optimization algorithm
Prediction of heart disease is very important because it is one of the causes of death around the world. Moreover, heart disease prediction in the early stage plays a main role in the treatment and recovery disease and reduces costs of diagnosis disease and side effects it. Machine learning algorithms are able to identify an effective pattern for diagnosis and treatment of the disease and ident...
[ 3 ] - H-BwoaSvm: A Hybrid Model for Classification and Feature Selection of Mammography Screening Behavior Data
Breast cancer is one of the most common cancer in the world. Early detection of cancers cause significantly reduce in morbidity rate and treatment costs. Mammography is a known effective diagnosis method of breast cancer. A way for mammography screening behavior identification is women's awareness evaluation for participating in mammography screening programs. Todays, intelligence systems could...
نویسندگان همکار