Using Artificial Neural Network to Predict the Length of Stay for Cardiovascular Patients in the Pre-admission Stage
碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 100 === Patient admission and inpatient bed allocation policy can have sophisticate influence on resource utilization for any hospital. With an effective admission process, a hospital can increase its turnover rate, reduce unnecessary bed occupancy, and improve th...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/x4m5ch |