Intelligent Medical Auxiliary Diagnosis Algorithm Based on Improved Decision Tree
In order to address the problem of low ability of intelligent medical auxiliary diagnosis (IMAD), an IMAD based on improved decision tree is proposed. Firstly, the constraint parameter model of IMAD is constructed. Secondly, according to the physiological indexes of IMAD, the independent variables a...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/1473736 |
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| _version_ | 1832556806458572800 |
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| author | Yuntao Wei Xiaojuan Wang Meishan Li |
| author_facet | Yuntao Wei Xiaojuan Wang Meishan Li |
| author_sort | Yuntao Wei |
| collection | DOAJ |
| description | In order to address the problem of low ability of intelligent medical auxiliary diagnosis (IMAD), an IMAD based on improved decision tree is proposed. Firstly, the constraint parameter model of IMAD is constructed. Secondly, according to the physiological indexes of IMAD, the independent variables and dependent variables of auxiliary diagnosis are constructed, the quantitative recurrent analysis of IMAD is carried out by using regression analysis method, the data analysis model of IMAD is constructed, and the adaptive classification and recognition of IMAD are carried out. Finally, the attribute feature quantity of IMAD with pathological characteristics is extracted, and the improved decision tree model is used to realize intelligent medical auxiliary, assist in the optimal decision of diagnosis, and realize the effective classification and recognition of pathological characteristics. The results show that this method has better decision-making ability and better classification performance for IMAD, which improves the intelligence and accuracy of intelligent medical auxiliary diagnosis. |
| format | Article |
| id | doaj-art-3821b8eac51e4f76b06bd561362e2e58 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-3821b8eac51e4f76b06bd561362e2e582025-02-03T05:44:21ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552020-01-01202010.1155/2020/14737361473736Intelligent Medical Auxiliary Diagnosis Algorithm Based on Improved Decision TreeYuntao Wei0Xiaojuan Wang1Meishan Li2College of Electronic Information Technology, Jiamusi University, Jiamusi 154007, ChinaCollege of Electronic Information Technology, Jiamusi University, Jiamusi 154007, ChinaCollege of Electronic Information Technology, Jiamusi University, Jiamusi 154007, ChinaIn order to address the problem of low ability of intelligent medical auxiliary diagnosis (IMAD), an IMAD based on improved decision tree is proposed. Firstly, the constraint parameter model of IMAD is constructed. Secondly, according to the physiological indexes of IMAD, the independent variables and dependent variables of auxiliary diagnosis are constructed, the quantitative recurrent analysis of IMAD is carried out by using regression analysis method, the data analysis model of IMAD is constructed, and the adaptive classification and recognition of IMAD are carried out. Finally, the attribute feature quantity of IMAD with pathological characteristics is extracted, and the improved decision tree model is used to realize intelligent medical auxiliary, assist in the optimal decision of diagnosis, and realize the effective classification and recognition of pathological characteristics. The results show that this method has better decision-making ability and better classification performance for IMAD, which improves the intelligence and accuracy of intelligent medical auxiliary diagnosis.http://dx.doi.org/10.1155/2020/1473736 |
| spellingShingle | Yuntao Wei Xiaojuan Wang Meishan Li Intelligent Medical Auxiliary Diagnosis Algorithm Based on Improved Decision Tree Journal of Electrical and Computer Engineering |
| title | Intelligent Medical Auxiliary Diagnosis Algorithm Based on Improved Decision Tree |
| title_full | Intelligent Medical Auxiliary Diagnosis Algorithm Based on Improved Decision Tree |
| title_fullStr | Intelligent Medical Auxiliary Diagnosis Algorithm Based on Improved Decision Tree |
| title_full_unstemmed | Intelligent Medical Auxiliary Diagnosis Algorithm Based on Improved Decision Tree |
| title_short | Intelligent Medical Auxiliary Diagnosis Algorithm Based on Improved Decision Tree |
| title_sort | intelligent medical auxiliary diagnosis algorithm based on improved decision tree |
| url | http://dx.doi.org/10.1155/2020/1473736 |
| work_keys_str_mv | AT yuntaowei intelligentmedicalauxiliarydiagnosisalgorithmbasedonimproveddecisiontree AT xiaojuanwang intelligentmedicalauxiliarydiagnosisalgorithmbasedonimproveddecisiontree AT meishanli intelligentmedicalauxiliarydiagnosisalgorithmbasedonimproveddecisiontree |