AN EFFICIENT PATIENT INFLOW PREDICTION MODEL FOR HOSPITAL RESOURCE MANAGEMENT
There has been increasing demand in improving service provisioning in hospital resources management. Hospital industries work with strict budget constraint at the same time assures quality care. To achieve quality care with budget constraint an efficient prediction model is required. Recently there...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
ICT Academy of Tamil Nadu
2017-07-01
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| Series: | ICTACT Journal on Soft Computing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/ArticleDetails.aspx?id=3096 |
| _version_ | 1818806151944339456 |
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| author | Kottalanka Srikanth D Arivazhagan |
| author_facet | Kottalanka Srikanth D Arivazhagan |
| author_sort | Kottalanka Srikanth |
| collection | DOAJ |
| description | There has been increasing demand in improving service provisioning in hospital resources management. Hospital industries work with strict budget constraint at the same time assures quality care. To achieve quality care with budget constraint an efficient prediction model is required. Recently there has been various time series based prediction model has been proposed to manage hospital resources such ambulance monitoring, emergency care and so on. These models are not efficient as they do not consider the nature of scenario such climate condition etc. To address this artificial intelligence is adopted. The issues with existing prediction are that the training suffers from local optima error. This induces overhead and affects the accuracy in prediction. To overcome the local minima error, this work presents a patient inflow prediction model by adopting resilient backpropagation neural network. Experiment are conducted to evaluate the performance of proposed model inter of RMSE and MAPE. The outcome shows the proposed model reduces RMSE and MAPE over existing back propagation based artificial neural network. The overall outcomes show the proposed prediction model improves the accuracy of prediction which aid in improving the quality of health care management. |
| first_indexed | 2024-12-18T19:05:13Z |
| format | Article |
| id | doaj.art-99e7b0ea51374d25b6cbd0b030f3a8cd |
| institution | Directory Open Access Journal |
| issn | 0976-6561 2229-6956 |
| language | English |
| last_indexed | 2024-12-18T19:05:13Z |
| publishDate | 2017-07-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Soft Computing |
| spelling | doaj.art-99e7b0ea51374d25b6cbd0b030f3a8cd2022-12-21T20:56:27ZengICT Academy of Tamil NaduICTACT Journal on Soft Computing0976-65612229-69562017-07-01741498150410.21917/ijsc.2017.0208AN EFFICIENT PATIENT INFLOW PREDICTION MODEL FOR HOSPITAL RESOURCE MANAGEMENTKottalanka Srikanth0D Arivazhagan1AMET University, IndiaAMET University, IndiaThere has been increasing demand in improving service provisioning in hospital resources management. Hospital industries work with strict budget constraint at the same time assures quality care. To achieve quality care with budget constraint an efficient prediction model is required. Recently there has been various time series based prediction model has been proposed to manage hospital resources such ambulance monitoring, emergency care and so on. These models are not efficient as they do not consider the nature of scenario such climate condition etc. To address this artificial intelligence is adopted. The issues with existing prediction are that the training suffers from local optima error. This induces overhead and affects the accuracy in prediction. To overcome the local minima error, this work presents a patient inflow prediction model by adopting resilient backpropagation neural network. Experiment are conducted to evaluate the performance of proposed model inter of RMSE and MAPE. The outcome shows the proposed model reduces RMSE and MAPE over existing back propagation based artificial neural network. The overall outcomes show the proposed prediction model improves the accuracy of prediction which aid in improving the quality of health care management.http://ictactjournals.in/ArticleDetails.aspx?id=3096Artificial InteligenceForecastingOptimizationPrediction |
| spellingShingle | Kottalanka Srikanth D Arivazhagan AN EFFICIENT PATIENT INFLOW PREDICTION MODEL FOR HOSPITAL RESOURCE MANAGEMENT ICTACT Journal on Soft Computing Artificial Inteligence Forecasting Optimization Prediction |
| title | AN EFFICIENT PATIENT INFLOW PREDICTION MODEL FOR HOSPITAL RESOURCE MANAGEMENT |
| title_full | AN EFFICIENT PATIENT INFLOW PREDICTION MODEL FOR HOSPITAL RESOURCE MANAGEMENT |
| title_fullStr | AN EFFICIENT PATIENT INFLOW PREDICTION MODEL FOR HOSPITAL RESOURCE MANAGEMENT |
| title_full_unstemmed | AN EFFICIENT PATIENT INFLOW PREDICTION MODEL FOR HOSPITAL RESOURCE MANAGEMENT |
| title_short | AN EFFICIENT PATIENT INFLOW PREDICTION MODEL FOR HOSPITAL RESOURCE MANAGEMENT |
| title_sort | efficient patient inflow prediction model for hospital resource management |
| topic | Artificial Inteligence Forecasting Optimization Prediction |
| url | http://ictactjournals.in/ArticleDetails.aspx?id=3096 |
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