Tehran University Medical Journal

  SARS-CoV-2 emerging from Wuhan, China is a member of the Coronaviridae family, which has so far infected and killed many people. The SARS-CoV-2 pandemic affected various aspects of life in Iran and Worldwide, and governments have imposed quarantines and travel bans on an unprecedented scale. The virus causes COVID-19, which can spread through close contact with the infected person, contaminated equipment, and suspended air droplets. The most common symptoms of the disease include fever, cough, shortness of breath, gastrointestinal symptoms, and diarrhea. In severe cases, the lung infection can occur, which causes Severe Acute Respiratory Syndrome that leads to ICU admission and even death.
  Besides, this infection can cause gastrointestinal, neurological, and renal impairments. Not merely, this new coronavirus has infected many more people worldwide in comparison to MERS and SARS, but also it has killed more people. Patients with underlying diseases such as hypertension, diabetes, respiratory problems, kidney disease, heart disease and Immunodeficiency are at higher risk of infection and potential death. Also, the risk of death and complication increases in older adults, while most of the infected children are asymptomatic. Some infected people may have mild or no symptoms but can still transmit the disease and spread it to others.
To diagnose COVID-19, serology tests, and level of ESR, CRP and other acute-phase reactants are helpful, whereas molecular tests, such as RT-PCR tests, that detect the virus’s genetic material are still the golden standard. Also, CT scan detects lung involvement; Ground-glass opacification, especially in lower lobes and subpleural region, is the most common CT characteristic, although it is not specific for COVID-19. Because the disease is difficult to diagnose, hard to prevent and challenging to treat, it has become a major concern for many countries. This review aims to gather existing information in the fields of virology, molecular pathogenesis, disease symptoms, epidemiology, clinical presentations, diagnosis, treatment, and the spread of the disease. This study also provides evidence-based prevention and treatment strategies for health policymakers, doctors, nurses, and practitioners in the field of public health, including researchers and students.

Background: The clinical field has vast sick data that has not been analyzed. Discovering a way to analyze this raw data and turn it into an information treasure can save many lives. Using data mining methods is an efficient way to analyze this large amount of raw data. It can predict the future with accurate knowledge of the past, providing new insights into disease diagnosis and prevention. Several data mining methods exist but finding a suitable one is very important. Today, coronavirus disease (COVID-19) has become one of the causing deadly diseases in the world. The early diagnosis of pandemic coronavirus disease has a significant impact in preventing death. This study aims to extract the key indications of the disease and find the best data mining methods that enhance the accuracy of coronavirus disease diagnosis.
Methods: In this study, to obtain high accuracy in diagnosing COVID-19 disease, a complete and effective workflow over data mining methods was proposed, which includes these steps: data pre-analyzing, indication selection, model creation, the measure of performance, and display of results. Data and related indications of patients with COVID-19 were collected from Kerman Afzalipour Hospital and Rafsanjan, Ali Ebn Abi Taleb Hospital. Prediction structures were made and tested via different combinations of the disease indications and seven data mining methods. To discover the best key indications, three criteria including accuracy, validation and F-value were applied and to discover the best data mining methods, accuracy and validation criteria were considered. For each data mining method, the criteria were measured independently and all results were reported for analysis. Finally, the best key indications and data mining methods that can diagnose COVID-19 disease with high accuracy were extracted.