Patient flow data prediction method and system, electronic equipment and storage medium
The invention discloses a patient mobile data prediction method and system, electronic equipment and a storage medium. The method comprises the steps of obtaining medical resource data, fixed patient data and mobile patient data at multiple historical moments; according to the state space model and...
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| creator | DENG MINGTAO GAO YUGUANG ZHANG YANPENG |
| description | The invention discloses a patient mobile data prediction method and system, electronic equipment and a storage medium. The method comprises the steps of obtaining medical resource data, fixed patient data and mobile patient data at multiple historical moments; according to the state space model and the autoregression model, performing function fitting on the medical resource data, the mobile patient data and the fixed patient data at the plurality of historical moments; and according to the state space model, the autoregression model, and the medical resource data, the fixed patient data and the mobile patient data at the plurality of historical moments, mobile patient data, fixed patient data and medical resource data at the next moment are calculated. According to the method, the mutual influence of the patient flow quantity and the medical resources is considered, deep modeling is carried out on the flow of the patients occupying the medical resources among departments of the hospital, and the flow quantit |
| format | Patent |
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The method comprises the steps of obtaining medical resource data, fixed patient data and mobile patient data at multiple historical moments; according to the state space model and the autoregression model, performing function fitting on the medical resource data, the mobile patient data and the fixed patient data at the plurality of historical moments; and according to the state space model, the autoregression model, and the medical resource data, the fixed patient data and the mobile patient data at the plurality of historical moments, mobile patient data, fixed patient data and medical resource data at the next moment are calculated. 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The method comprises the steps of obtaining medical resource data, fixed patient data and mobile patient data at multiple historical moments; according to the state space model and the autoregression model, performing function fitting on the medical resource data, the mobile patient data and the fixed patient data at the plurality of historical moments; and according to the state space model, the autoregression model, and the medical resource data, the fixed patient data and the mobile patient data at the plurality of historical moments, mobile patient data, fixed patient data and medical resource data at the next moment are calculated. 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The method comprises the steps of obtaining medical resource data, fixed patient data and mobile patient data at multiple historical moments; according to the state space model and the autoregression model, performing function fitting on the medical resource data, the mobile patient data and the fixed patient data at the plurality of historical moments; and according to the state space model, the autoregression model, and the medical resource data, the fixed patient data and the mobile patient data at the plurality of historical moments, mobile patient data, fixed patient data and medical resource data at the next moment are calculated. According to the method, the mutual influence of the patient flow quantity and the medical resources is considered, deep modeling is carried out on the flow of the patients occupying the medical resources among departments of the hospital, and the flow quantit</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Patient flow data prediction method and system, electronic equipment and storage medium |
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