Determining Factors on Hospital Discharge Process Via Data-Mining Method Administered at Shahid Modares Hospital, Tehran
Background and Aim: Over the recent years, patient discharge process time has been an important issue focused by so many officials. Therefore, the present study is aimed to identify the main factors with regard to the discharge process and selecting the best data-mining algorithm. Materials and Met...
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| Format: | Article |
| Language: | fas |
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Tehran University of Medical Sciences
2018-01-01
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| Series: | پیاورد سلامت |
| Subjects: | |
| Online Access: | http://payavard.tums.ac.ir/article-1-6387-en.html |
| _version_ | 1818880407417913344 |
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| author | Neda Fazel Asl Farhad Ghaffari Amir Ashkan Nasiripour |
| author_facet | Neda Fazel Asl Farhad Ghaffari Amir Ashkan Nasiripour |
| author_sort | Neda Fazel Asl |
| collection | DOAJ |
| description | Background and Aim: Over the recent years, patient discharge process time has been an important issue focused by so many officials. Therefore, the present study is aimed to identify the main factors with regard to the discharge process and selecting the best data-mining algorithm.
Materials and Methods: The population in question is all the patients discharged from Modarres Hospital during the first three months in the year 2014. Sampling wasn’t carried out but the number of observations has reached over 1060. Data was gathered via the researcher’s checklist while the relation between dependent and independent variants was examined and identified through T-test, Pearson Correlation Test and one-way analysis of variance. Data Mining Algorithms, in this study, were as follows: Neural Network, Support Vector Machine, Decision Tree, Simple Linear Regression.
Results: The average discharging process in the present study was 246.96 ± 3.25, which shows that among main factors concerned with discharging process, bedridden ward is considered as the most crucial. Also, according to the algorithms employed in this study, Decision Tree, with Correlation Value=0.30 and Root-Mean Square Error=103.29, was the best algorithm.
Conclusion: Results show that Data-Mining Algorithms can be employed to identify crucial factors regarding the whole discharging process and the most important factor during discharge process variable is hospitalization. |
| first_indexed | 2024-12-19T14:45:29Z |
| format | Article |
| id | doaj.art-768173ec1d784fa0ace186cabc348259 |
| institution | Directory Open Access Journal |
| issn | 1735-8132 2008-2665 |
| language | fas |
| last_indexed | 2024-12-19T14:45:29Z |
| publishDate | 2018-01-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | پیاورد سلامت |
| spelling | doaj.art-768173ec1d784fa0ace186cabc3482592022-12-21T20:16:58ZfasTehran University of Medical Sciencesپیاورد سلامت1735-81322008-26652018-01-01115509517Determining Factors on Hospital Discharge Process Via Data-Mining Method Administered at Shahid Modares Hospital, TehranNeda Fazel Asl0Farhad Ghaffari1Amir Ashkan Nasiripour2 Master of Sciences Student in Health Services Management, Health Services Management Department, School of Management, Islamic Azad University, E-Campus, Tehran, Iran Associate Professor, Economics Department, School of Management & Economics, Islamic Azad University, Science and Research Branch, Tehran, Iran Professor, Health Services Management Department, School of Management, Islamic Azad University, E-Campus, Tehran, Iran Background and Aim: Over the recent years, patient discharge process time has been an important issue focused by so many officials. Therefore, the present study is aimed to identify the main factors with regard to the discharge process and selecting the best data-mining algorithm. Materials and Methods: The population in question is all the patients discharged from Modarres Hospital during the first three months in the year 2014. Sampling wasn’t carried out but the number of observations has reached over 1060. Data was gathered via the researcher’s checklist while the relation between dependent and independent variants was examined and identified through T-test, Pearson Correlation Test and one-way analysis of variance. Data Mining Algorithms, in this study, were as follows: Neural Network, Support Vector Machine, Decision Tree, Simple Linear Regression. Results: The average discharging process in the present study was 246.96 ± 3.25, which shows that among main factors concerned with discharging process, bedridden ward is considered as the most crucial. Also, according to the algorithms employed in this study, Decision Tree, with Correlation Value=0.30 and Root-Mean Square Error=103.29, was the best algorithm. Conclusion: Results show that Data-Mining Algorithms can be employed to identify crucial factors regarding the whole discharging process and the most important factor during discharge process variable is hospitalization.http://payavard.tums.ac.ir/article-1-6387-en.htmlhospital dischargingdischarging processhospitaldetermining factors concerned with discharging process |
| spellingShingle | Neda Fazel Asl Farhad Ghaffari Amir Ashkan Nasiripour Determining Factors on Hospital Discharge Process Via Data-Mining Method Administered at Shahid Modares Hospital, Tehran پیاورد سلامت hospital discharging discharging process hospital determining factors concerned with discharging process |
| title | Determining Factors on Hospital Discharge Process Via Data-Mining Method Administered at Shahid Modares Hospital, Tehran |
| title_full | Determining Factors on Hospital Discharge Process Via Data-Mining Method Administered at Shahid Modares Hospital, Tehran |
| title_fullStr | Determining Factors on Hospital Discharge Process Via Data-Mining Method Administered at Shahid Modares Hospital, Tehran |
| title_full_unstemmed | Determining Factors on Hospital Discharge Process Via Data-Mining Method Administered at Shahid Modares Hospital, Tehran |
| title_short | Determining Factors on Hospital Discharge Process Via Data-Mining Method Administered at Shahid Modares Hospital, Tehran |
| title_sort | determining factors on hospital discharge process via data mining method administered at shahid modares hospital tehran |
| topic | hospital discharging discharging process hospital determining factors concerned with discharging process |
| url | http://payavard.tums.ac.ir/article-1-6387-en.html |
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