Identifying Air Pollution Risk Factors for Respiratory Disease Using Quantitative Computational Method
Songjing Chen,
Sizhu Wu,
Qing Qian,
Jiao Li
Issue:
Volume 5, Issue 3, June 2017
Pages:
18-23
Received:
4 May 2017
Published:
5 May 2017
Abstract: In order to identify air pollution risk factors for respiratory disease patients, a quantitative computational method to identify high risk factors for respiratory patients was conducted in this study. The C4.5 classification algorithm was used in the computational method. SMOTE algorithm was applied to solve the imbalance data problem. Risk factor effect degree was calculated according to C4.5 classification model. Age was the top risk factor in nine subgroups, except ≤11. The age ≤49 youth were easier affected by NO2 and SO2 than >49. ≤49 were obviously more than >49. ≤49 were more easier suffer from acute upper respiratory infections, >49 were more easier suffer from influenza, pneumonia and chronic lower respiratory disease. The air pollution risk factors of respiratory disease were identified quantitatively. This quantitative computational method could be applied to predict other disease occurrence.
Abstract: In order to identify air pollution risk factors for respiratory disease patients, a quantitative computational method to identify high risk factors for respiratory patients was conducted in this study. The C4.5 classification algorithm was used in the computational method. SMOTE algorithm was applied to solve the imbalance data problem. Risk factor...
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Clinical Effects of Safflower Pill of Dedu Seven Medicinal Herbs Plus Adefovir Dipivoxil on Liver Fibrosis Resulting from Chronic Viral Hepatitis B
Yi Na,
Siwen Wei,
Xiaoran Wang,
Yi Wang,
Ruilian Ma,
Lidao Bao
Issue:
Volume 5, Issue 3, June 2017
Pages:
24-28
Received:
6 June 2017
Published:
6 June 2017
Abstract: To study the clinical effects of Safflower Pill of Dedu Seven Medicinal Herbs combined with Adefovir Dipivoxil on liver fibrosis resulting from chronic viral hepatitis B.116 patients with chronic hepatitis B fibrosis were randomly divided into two groups (n=58 for each group): treatment group (Safflower Pill of Seven Medicinal Herbs combined with Adefovir Dipivoxil) and control group (Adefovir Dipivoxil) (n=58) for clinical observation of 24 weeks. After 24 weeks, the effective rates were 93.10% and 81.03% in the treatment group and control group respectively; the indexes of liver function, liver fibrosis and radiographic indexes of the patients in both groups were significantly decreased (P <0.05 or P <0.01); The differences between the two groups were statistically significant (P <0.05). The effect of Safflower Pill of Seven Medicinal Herbs combined with Adefovir Dipivoxil for the treatment of chronic hepatitis B fibrosis is more effective than that of Adefovir Dipivoxil alone.
Abstract: To study the clinical effects of Safflower Pill of Dedu Seven Medicinal Herbs combined with Adefovir Dipivoxil on liver fibrosis resulting from chronic viral hepatitis B.116 patients with chronic hepatitis B fibrosis were randomly divided into two groups (n=58 for each group): treatment group (Safflower Pill of Seven Medicinal Herbs combined with A...
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A Survey of Current Work in Medical Text Mining---Data Source Perspective
Li Yanhong,
Song Anmeng,
Wang Jingling
Issue:
Volume 5, Issue 3, June 2017
Pages:
29-34
Received:
12 September 2017
Published:
14 September 2017
Abstract: This paper discusses the application of text mining in medical field at home and abroad based on overview and analysis of current literature data. Foreign researchers have specific text mining tools, and they use it in the search engine data and electronic medical record. In addition, it is also used to predict side effects between drugs. In China, text mining based on medical literature data occupies a large part. On the one hand, they can monitor the self disclosure of health information. On the other hand, they explore whether online information can help individuals get out of the disease. With the development of information technology, text mining will become more and more widely applied in the medical field in the future.
Abstract: This paper discusses the application of text mining in medical field at home and abroad based on overview and analysis of current literature data. Foreign researchers have specific text mining tools, and they use it in the search engine data and electronic medical record. In addition, it is also used to predict side effects between drugs. In China,...
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