Matches in SemOpenAlex for { <https://semopenalex.org/work/W2003248317> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2003248317 abstract "Data mining on medical data has great potential to improve the treatment quality of hospitals and increase the survival rate of patients. Every year, $4$ -- $17%$ of patients undergo cardiopulmonary or respiratory arrest while in hospitals. Early prediction techniques have become an apparent need in many clinical area. Clinical study has found early detection and intervention to be essential for preventing clinical deterioration in patients at general hospital units. In this paper, based on data mining technology, we propose an early warning system (EWS) designed to identify the signs of clinical deterioration and provide early warning for serious clinical events. Our EWS is designed to provide reliable early alarms for patients at the general hospital wards (GHWs). EWS automatically identifies patients at risk of clinical deterioration based on their existing electronic medical record. The main task of EWS is a challenging classification problem on high-dimensional stream data with irregular, multi-scale data gaps, measurement errors, outliers, and class imbalance. In this paper, we propose a novel data mining framework for analyzing such medical data streams. The framework addresses the above challenges and represents a practical approach for early prediction and prevention based on data that would realistically be available at GHWs. We assess the feasibility of the proposed EWS approach through retrospective study that includes data from 28,927 visits at a major hospital. Finally, we apply our system in a real-time clinical trial and obtain promising results. This project is an example of multidisciplinary cyber-physical systems involving researchers in clinical science, data mining, and nursing staff in the hospital. Our early warning algorithm shows promising result: the transfer of patients to ICU was predicted with sensitivity of 0.4127 and specificity of 0.950 in the real time system." @default.
- W2003248317 created "2016-06-24" @default.
- W2003248317 creator A5009122629 @default.
- W2003248317 creator A5026604447 @default.
- W2003248317 creator A5033788363 @default.
- W2003248317 creator A5037248049 @default.
- W2003248317 creator A5037955098 @default.
- W2003248317 creator A5047318884 @default.
- W2003248317 creator A5048759917 @default.
- W2003248317 date "2011-12-01" @default.
- W2003248317 modified "2023-10-14" @default.
- W2003248317 title "Medical Data Mining for Early Deterioration Warning in General Hospital Wards" @default.
- W2003248317 cites W1487019984 @default.
- W2003248317 cites W1973486624 @default.
- W2003248317 cites W1975347960 @default.
- W2003248317 cites W1986986113 @default.
- W2003248317 cites W2045380240 @default.
- W2003248317 cites W2110247597 @default.
- W2003248317 cites W2141517745 @default.
- W2003248317 cites W2155653793 @default.
- W2003248317 cites W2156515921 @default.
- W2003248317 cites W2167913971 @default.
- W2003248317 cites W4237744189 @default.
- W2003248317 cites W4293242440 @default.
- W2003248317 doi "https://doi.org/10.1109/icdmw.2011.117" @default.
- W2003248317 hasPublicationYear "2011" @default.
- W2003248317 type Work @default.
- W2003248317 sameAs 2003248317 @default.
- W2003248317 citedByCount "26" @default.
- W2003248317 countsByYear W20032483172013 @default.
- W2003248317 countsByYear W20032483172014 @default.
- W2003248317 countsByYear W20032483172015 @default.
- W2003248317 countsByYear W20032483172016 @default.
- W2003248317 countsByYear W20032483172017 @default.
- W2003248317 countsByYear W20032483172019 @default.
- W2003248317 countsByYear W20032483172020 @default.
- W2003248317 countsByYear W20032483172022 @default.
- W2003248317 countsByYear W20032483172023 @default.
- W2003248317 crossrefType "proceedings-article" @default.
- W2003248317 hasAuthorship W2003248317A5009122629 @default.
- W2003248317 hasAuthorship W2003248317A5026604447 @default.
- W2003248317 hasAuthorship W2003248317A5033788363 @default.
- W2003248317 hasAuthorship W2003248317A5037248049 @default.
- W2003248317 hasAuthorship W2003248317A5037955098 @default.
- W2003248317 hasAuthorship W2003248317A5047318884 @default.
- W2003248317 hasAuthorship W2003248317A5048759917 @default.
- W2003248317 hasBestOaLocation W20032483172 @default.
- W2003248317 hasConcept C124101348 @default.
- W2003248317 hasConcept C126838900 @default.
- W2003248317 hasConcept C144024400 @default.
- W2003248317 hasConcept C195910791 @default.
- W2003248317 hasConcept C22467394 @default.
- W2003248317 hasConcept C2777671062 @default.
- W2003248317 hasConcept C2779296788 @default.
- W2003248317 hasConcept C29825287 @default.
- W2003248317 hasConcept C36289849 @default.
- W2003248317 hasConcept C41008148 @default.
- W2003248317 hasConcept C545542383 @default.
- W2003248317 hasConcept C71924100 @default.
- W2003248317 hasConcept C76155785 @default.
- W2003248317 hasConceptScore W2003248317C124101348 @default.
- W2003248317 hasConceptScore W2003248317C126838900 @default.
- W2003248317 hasConceptScore W2003248317C144024400 @default.
- W2003248317 hasConceptScore W2003248317C195910791 @default.
- W2003248317 hasConceptScore W2003248317C22467394 @default.
- W2003248317 hasConceptScore W2003248317C2777671062 @default.
- W2003248317 hasConceptScore W2003248317C2779296788 @default.
- W2003248317 hasConceptScore W2003248317C29825287 @default.
- W2003248317 hasConceptScore W2003248317C36289849 @default.
- W2003248317 hasConceptScore W2003248317C41008148 @default.
- W2003248317 hasConceptScore W2003248317C545542383 @default.
- W2003248317 hasConceptScore W2003248317C71924100 @default.
- W2003248317 hasConceptScore W2003248317C76155785 @default.
- W2003248317 hasLocation W20032483171 @default.
- W2003248317 hasLocation W20032483172 @default.
- W2003248317 hasOpenAccess W2003248317 @default.
- W2003248317 hasPrimaryLocation W20032483171 @default.
- W2003248317 hasRelatedWork W2019221308 @default.
- W2003248317 hasRelatedWork W2349162035 @default.
- W2003248317 hasRelatedWork W2366686155 @default.
- W2003248317 hasRelatedWork W2369926976 @default.
- W2003248317 hasRelatedWork W2381743810 @default.
- W2003248317 hasRelatedWork W2383173999 @default.
- W2003248317 hasRelatedWork W2402451758 @default.
- W2003248317 hasRelatedWork W2537090271 @default.
- W2003248317 hasRelatedWork W3125817379 @default.
- W2003248317 hasRelatedWork W1044530532 @default.
- W2003248317 isParatext "false" @default.
- W2003248317 isRetracted "false" @default.
- W2003248317 magId "2003248317" @default.
- W2003248317 workType "article" @default.