Intelligent monitoring and early warning system for traumatic hemorrhagic shock
The invention provides an intelligent monitoring and early warning system for traumatic hemorrhagic shock. The intelligent monitoring and early warning system comprises a user information management module for managing user information; a wounded information management module which manages the wounded information; a prediction management module which calls corresponding prediction models to perform prediction under a specific time window according to the selected different time windows; the prediction management module calls a machine learning module to predict the data, including time window selection, data acquisition, data verification and data prediction; the data verification is to verify the wounded information, call a machine learning model integrated in the background for prediction, and return a prediction result; a monitoring management module which automatically calls the wounded data from the background for prediction, so that the information of a plurality of wounded persons can be monitored in real time at the same time; and a visual display module which displays the state of the wounded person by using different colors according to different prediction results, and draws a corresponding chart to display the change condition of the indexes of the wounded person..
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Patent| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Europäisches Patentamt - (2021) vom: 14. Dez. Zur Gesamtaufnahme - year:2021 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
LI JING [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2021-12-14, Last update posted on www.tib.eu: 2023-12-12, Last updated: 2023-12-15 |
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| Patentnummer: |
CN113793661 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA013035088 |
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| 520 | |a The invention provides an intelligent monitoring and early warning system for traumatic hemorrhagic shock. The intelligent monitoring and early warning system comprises a user information management module for managing user information; a wounded information management module which manages the wounded information; a prediction management module which calls corresponding prediction models to perform prediction under a specific time window according to the selected different time windows; the prediction management module calls a machine learning module to predict the data, including time window selection, data acquisition, data verification and data prediction; the data verification is to verify the wounded information, call a machine learning model integrated in the background for prediction, and return a prediction result; a monitoring management module which automatically calls the wounded data from the background for prediction, so that the information of a plurality of wounded persons can be monitored in real time at the same time; and a visual display module which displays the state of the wounded person by using different colors according to different prediction results, and draws a corresponding chart to display the change condition of the indexes of the wounded person. | ||
| 650 | 4 | |a tec | |
| 650 | 4 | |a G16H: Healthcare informatics, i.e. information and communication technology [ict] specially adapted for the handling or processing of medical or healthcare data | |
| 650 | 4 | |a inf | |
| 650 | 4 | |a G08B: Signalling or calling systems; order telegraphs; alarm systems | |
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| 700 | 0 | |a JIA RUIQI |4 aut | |
| 700 | 0 | |a WEI ZIJIAN |4 aut | |
| 700 | 0 | |a YU ZHEYUAN |4 aut | |
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| 700 | 0 | |a LI XIUCHENG |4 aut | |
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