Social media have become very popular in the last few decades. Users rely on social
network sites like Twitter, Facebook, YouTube, and LinkedIn for both information and …

These days, health care systems such as pharmacies and drugstores normally produce high
volumes of data. Consequently, utilizing data mining methods in health care systems has …

Background: Kidney and ureter stones are the third pathologies in urological diseases. Less
invasive treatments such as transureteral lithotripsy and extracorporeal shock wave …

The incidence and mortality rates of cardiovascular disease are considered a major concern
in the healthcare industry nowadays and remarkable efforts have been made to reduce its …

Introduction: Inaccurate data and unqualified data can be misleading, and cause false
decisions. Therefore, the quality of data can guarantee its usefulness. The aim of this study …

Methods: We suggested a mechanized model based on the TNM staging system and the ant
colony algorithm. This method would reduce the patient's mental stress and financial costs …

This paper considers an accurate and efficient diabetes detection scheme via machine
learning. It uses the science of data mining and pattern matching in its diabetes diagnosis …

Background and Objectives: Cerebrovascular Accident (CVA) is a major health problem and
the most common neurological disease affecting 5.5 million individuals around the world …

In medicine, data collection plays an important role in the diagnosis of diseases and
treatment of patients. Physicians have to cope with a large amount of patient-related data …

مقدمه: کمبود منابع مالی و نقدینگی معضل اصلی بیمارستان‌ها می‌باشد. داروخانه‌ها از بخش‌های
تأثیرگذار بر گردش مالی بیمارستان‌ها هستند که به دلیل عدم پیش‌بینی مصرف و تهیه دارو، در …‎