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The Study on Evaluating Length of Hospital Stay for Myomectomy

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2016

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
According to clinical statistics, on average a quarter of females are diagnosed with uterine fibroid, one very common benign tumor found in female’s reproductive organs and the most common procedure in OB/GYN practices as well. In this study, particle swarm optimization was used together with back-propagation neural network and support vector machines in data mining as tools to evaluate the predictions on length of stay in the hospitals due to surgery of uterine fibroids. The results indicate that the correct classification rate on the laparoscope using PSO with SVM is 94.74%; that on the laparotomy using PSO with SVM is 90.62%. In short, the above results indicate the actual feasibility of the system, in which by evaluating the length of hospitalization, the system provides references to the physicians in diagnosis at clinical practices, enhances health care quality, and ensures proper planning of medical care resources so patients can receive better quality of care and services.
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REFERENCES

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