Background and Aim: Data mining is a very important branch in deeper understanding of medical data, which attempts to solve problems in the diagnosis and treatment of diseases. One of the most important data mining applications is to examine the existing data patterns. The present study aims to examine the existing data patterns of patients with asthma. Materials and Methods: This study was performed on 258 patients with respiratory symptoms, who referred to Imam Khomeini and Masih Daneshvari Hospitals in 2009. All records were entered into Excel software, and data mining add-ins were used. Analyses such as key influencers, cluster analysis of patients, and detecting exceptions have been done. Results: The most common clinical sign of asthm...
Health care industry produces enormous quantity of data that clutches complex information relating t...
We are facing a major challenge in bridging the gap between identifying subtypes of asthma, to under...
Data de publicació electrònica: 22-11-2022Background: The self-reporting of asthma frequently leads ...
Background and Aim: Data mining is a very important branch in deeper understanding of medical data, ...
Abstract- Data mining helps end users extract valuable information from large databases. In medical ...
Paediatric asthma represents a significant public health problem. To date, clinical data sets have t...
Asthma is a chronic lung disease that inflames and narrows the airways. Asthma is a multifactorial c...
Abstract. Due to the significant amount of data generated by modern medicine there is a growing reli...
Chronic asthmatic sufferers need to be constantly observed to prevent sudden attacks. In order to im...
Asthma is a common chronic health condition affecting millions of people in the United States. While...
Accuracy plays a vital role in the medical field of Cardiology as it concerns with the life of an in...
Chronic diseases are one of the major causes of deaths and disabilities worldwide. Rapid industrial ...
Background: The present study is on the development of a data mining algorithm for finding the influ...
Data Analytics in healthcare assumes to be a viable part in performing significant constant examinat...
Long-term conditions in Scotland account for 80%of all GP consultations; they also account for...
Health care industry produces enormous quantity of data that clutches complex information relating t...
We are facing a major challenge in bridging the gap between identifying subtypes of asthma, to under...
Data de publicació electrònica: 22-11-2022Background: The self-reporting of asthma frequently leads ...
Background and Aim: Data mining is a very important branch in deeper understanding of medical data, ...
Abstract- Data mining helps end users extract valuable information from large databases. In medical ...
Paediatric asthma represents a significant public health problem. To date, clinical data sets have t...
Asthma is a chronic lung disease that inflames and narrows the airways. Asthma is a multifactorial c...
Abstract. Due to the significant amount of data generated by modern medicine there is a growing reli...
Chronic asthmatic sufferers need to be constantly observed to prevent sudden attacks. In order to im...
Asthma is a common chronic health condition affecting millions of people in the United States. While...
Accuracy plays a vital role in the medical field of Cardiology as it concerns with the life of an in...
Chronic diseases are one of the major causes of deaths and disabilities worldwide. Rapid industrial ...
Background: The present study is on the development of a data mining algorithm for finding the influ...
Data Analytics in healthcare assumes to be a viable part in performing significant constant examinat...
Long-term conditions in Scotland account for 80%of all GP consultations; they also account for...
Health care industry produces enormous quantity of data that clutches complex information relating t...
We are facing a major challenge in bridging the gap between identifying subtypes of asthma, to under...
Data de publicació electrònica: 22-11-2022Background: The self-reporting of asthma frequently leads ...