Diagnosing Hematological Disorders Using Deep Learning Method

Deciding on the diagnosis of disease is an important step for treating patients. Also, numerical value blood tests, personal information patients, and most importantly, expert opinion necessary to diagnose a disease. With development technology, patient-related data are obtained both rapidly in large sizes. Deep learning methods, which can produce meaningful results by processing raw form, beginning give that close human nowadays. The present work aimed develop system will enable anemia general practice conditions due increasing number patients intention hospitals, as well difficulties reaching medical consultant. main contribution this make like doctor with way uses it. set was from actual hospital environment no intervention, such or decreasing data, attributes, reduction, integration, imputation, transformation, discretization, has been made incoming patient data. original classified types accuracy 84,97% achieved using deep algorithm.