نوفرستی, سمیرا
دانشگاه شهید بهشتی
[ 1 ] - ساخت نیمهخودکار یک پیکره از نظرات غیرمستقیم در دامنه دارو و بکارگیری آن برای تعیین قطبیت نظرات
Opinion mining is a well-known problem in natural language processing that has attracted increasing attention in recent years. Existing approaches have been often focused on identifying direct opinions and ignored indirect ones. However, in some domains such as medical, indirect opinions occur frequently. Therefore, ignoring indirect opinions can lead to the loss of valuable information and not...
[ 2 ] - Using Data Mining Models for Differential Diagnosis of Iron Deficiency Anemia and β-thalassemia Minor
Introduction: One of the most common types of anemia is Iron deficiency anemia that its main differential diagnosis is β-thalassemia minor. The rapid and accurate screening of β-thalassemia minor has particular importance for pre-marriage medical counseling and the prevention of the birth of neonates with β-thalassemia major and differentiating it from iron deficiency anemia to avoid unnecessar...
[ 3 ] - Using Data Mining Models for Differential Diagnosis of Iron Deficiency Anemia and β-thalassemia Minor
Introduction: One of the most common types of anemia is Iron deficiency anemia that its main differential diagnosis is β-thalassemia minor. The rapid and accurate screening of β-thalassemia minor has particular importance for pre-marriage medical counseling and the prevention of the birth of neonates with β-thalassemia major and differentiating it from iron deficiency anemia to avoid unnecessar...
[ 4 ] - Extraction of Drug Crime Patterns and Identifying People at Risk Using Data Mining Techniques
Introduction: In recent years, technology advancement and the growth of information technology in organizations have provided a huge source of data stored in the field of drug-related offenses. Analyzing these data and discovering hidden patterns in it can help detect and prevent the occurrence of crimes in this area. This paper aimed to identify the susceptible people to drug trafficking in Si...
[ 5 ] - Extraction of Drug Crime Patterns and Identifying People at Risk Using Data Mining Techniques
Introduction: In recent years, technology advancement and the growth of information technology in organizations have provided a huge source of data stored in the field of drug-related offenses. Analyzing these data and discovering hidden patterns in it can help detect and prevent the occurrence of crimes in this area. This paper aimed to identify the susceptible people to drug trafficking in Si...
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