Vital-sign data fusion models for post-operative patients
Deterioration in Patients who undergo upper-gastrointestinal surgery may be evident in the vital signs prior to adverse events. A dataset comprising observational vital-sign data from 128 post-operative patients was used to explore the trajectory of patients vital-sign changes during their stay in t...
| 主要な著者: | , , , , |
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| フォーマット: | Conference item |
| 出版事項: |
ScitePress Digital Library
2012
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| _version_ | 1826264286321704960 |
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| author | Pimentel, M Clifton, D Clifton, L Watkinson, P Tarassenko, L |
| author_facet | Pimentel, M Clifton, D Clifton, L Watkinson, P Tarassenko, L |
| author_sort | Pimentel, M |
| collection | OXFORD |
| description | Deterioration in Patients who undergo upper-gastrointestinal surgery may be evident in the vital signs prior to adverse events. A dataset comprising observational vital-sign data from 128 post-operative patients was used to explore the trajectory of patients vital-sign changes during their stay in the post-operative ward. A model of normality based on pre-discharge data from patients who had a "normal" recovery was constructed using kernel density estimates, and tested with "abnormal" data from patients who deteriorate sufficiently to be re-admitted to the Intensive Care Unit. The results suggest that the criticality of post-operative patients can be evaluated by assessment of the distributions of their vital signs after their admission to the post-operative ward. |
| first_indexed | 2024-03-06T20:05:20Z |
| format | Conference item |
| id | oxford-uuid:28b8e12b-3a0b-410a-93db-ebee99ddde2c |
| institution | University of Oxford |
| last_indexed | 2024-03-06T20:05:20Z |
| publishDate | 2012 |
| publisher | ScitePress Digital Library |
| record_format | dspace |
| spelling | oxford-uuid:28b8e12b-3a0b-410a-93db-ebee99ddde2c2022-03-26T12:14:37ZVital-sign data fusion models for post-operative patientsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:28b8e12b-3a0b-410a-93db-ebee99ddde2cSymplectic Elements at OxfordScitePress Digital Library2012Pimentel, MClifton, DClifton, LWatkinson, PTarassenko, LDeterioration in Patients who undergo upper-gastrointestinal surgery may be evident in the vital signs prior to adverse events. A dataset comprising observational vital-sign data from 128 post-operative patients was used to explore the trajectory of patients vital-sign changes during their stay in the post-operative ward. A model of normality based on pre-discharge data from patients who had a "normal" recovery was constructed using kernel density estimates, and tested with "abnormal" data from patients who deteriorate sufficiently to be re-admitted to the Intensive Care Unit. The results suggest that the criticality of post-operative patients can be evaluated by assessment of the distributions of their vital signs after their admission to the post-operative ward. |
| spellingShingle | Pimentel, M Clifton, D Clifton, L Watkinson, P Tarassenko, L Vital-sign data fusion models for post-operative patients |
| title | Vital-sign data fusion models for post-operative patients |
| title_full | Vital-sign data fusion models for post-operative patients |
| title_fullStr | Vital-sign data fusion models for post-operative patients |
| title_full_unstemmed | Vital-sign data fusion models for post-operative patients |
| title_short | Vital-sign data fusion models for post-operative patients |
| title_sort | vital sign data fusion models for post operative patients |
| work_keys_str_mv | AT pimentelm vitalsigndatafusionmodelsforpostoperativepatients AT cliftond vitalsigndatafusionmodelsforpostoperativepatients AT cliftonl vitalsigndatafusionmodelsforpostoperativepatients AT watkinsonp vitalsigndatafusionmodelsforpostoperativepatients AT tarassenkol vitalsigndatafusionmodelsforpostoperativepatients |