Matches in SemOpenAlex for { <https://semopenalex.org/work/W3017606040> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W3017606040 endingPage "22" @default.
- W3017606040 startingPage "1" @default.
- W3017606040 abstract "In the article, we explore the feasibility of monitoring outpatients using Fitbit Charge HR wristbands and the potential of machine learning models to predict clinical deterioration (readmissions and death) among outpatients discharged from the hospital. We developed and piloted a data collection system in a clinical study that involved 25 heart failure patients recently discharged. The results demonstrated the feasibility of continuously monitoring outpatients using wristbands. We observed high levels of patient compliance in wearing the wristbands regularly and satisfactory yield, latency, and reliability of data collection from the wristbands to a cloud-based database. Finally, we explored a set of machine learning models to predict deterioration based on the Fitbit data. Through fivefold cross-validation, K nearest neighbor achieved the highest accuracy of 0.8667 for identifying patients at risk of deterioration using the data collected from the beginning of the monitoring. Machine learning models based on multimodal data (step, sleep, and heart rate) significantly outperformed the traditional clinical approach based on LACE index. Moreover, our proposed Weighted Samples One-Class SVM model with estimated confidence can reach high accuracy (0.9635) for predicting the deterioration using data collected within a sliding window, which indicates the potential for allowing timely intervention." @default.
- W3017606040 created "2020-05-01" @default.
- W3017606040 creator A5009122629 @default.
- W3017606040 creator A5026604447 @default.
- W3017606040 creator A5037248049 @default.
- W3017606040 creator A5039145854 @default.
- W3017606040 creator A5040439553 @default.
- W3017606040 creator A5069055175 @default.
- W3017606040 creator A5074654320 @default.
- W3017606040 date "2020-01-31" @default.
- W3017606040 modified "2023-10-03" @default.
- W3017606040 title "Feasibility Study of Monitoring Deterioration of Outpatients Using Multimodal Data Collected by Wearables" @default.
- W3017606040 cites W1525006452 @default.
- W3017606040 cites W170714584 @default.
- W3017606040 cites W1787714973 @default.
- W3017606040 cites W1981104285 @default.
- W3017606040 cites W2012533806 @default.
- W3017606040 cites W2062000081 @default.
- W3017606040 cites W2074185344 @default.
- W3017606040 cites W2086923543 @default.
- W3017606040 cites W2116061772 @default.
- W3017606040 cites W2129997990 @default.
- W3017606040 cites W2134490011 @default.
- W3017606040 cites W2169677181 @default.
- W3017606040 cites W2601595220 @default.
- W3017606040 cites W2756418505 @default.
- W3017606040 cites W2775576072 @default.
- W3017606040 cites W2810131621 @default.
- W3017606040 doi "https://doi.org/10.1145/3344256" @default.
- W3017606040 hasPublicationYear "2020" @default.
- W3017606040 type Work @default.
- W3017606040 sameAs 3017606040 @default.
- W3017606040 citedByCount "5" @default.
- W3017606040 countsByYear W30176060402021 @default.
- W3017606040 countsByYear W30176060402022 @default.
- W3017606040 countsByYear W30176060402023 @default.
- W3017606040 crossrefType "journal-article" @default.
- W3017606040 hasAuthorship W3017606040A5009122629 @default.
- W3017606040 hasAuthorship W3017606040A5026604447 @default.
- W3017606040 hasAuthorship W3017606040A5037248049 @default.
- W3017606040 hasAuthorship W3017606040A5039145854 @default.
- W3017606040 hasAuthorship W3017606040A5040439553 @default.
- W3017606040 hasAuthorship W3017606040A5069055175 @default.
- W3017606040 hasAuthorship W3017606040A5074654320 @default.
- W3017606040 hasConcept C105795698 @default.
- W3017606040 hasConcept C119857082 @default.
- W3017606040 hasConcept C12267149 @default.
- W3017606040 hasConcept C133462117 @default.
- W3017606040 hasConcept C149635348 @default.
- W3017606040 hasConcept C150594956 @default.
- W3017606040 hasConcept C154945302 @default.
- W3017606040 hasConcept C33923547 @default.
- W3017606040 hasConcept C41008148 @default.
- W3017606040 hasConceptScore W3017606040C105795698 @default.
- W3017606040 hasConceptScore W3017606040C119857082 @default.
- W3017606040 hasConceptScore W3017606040C12267149 @default.
- W3017606040 hasConceptScore W3017606040C133462117 @default.
- W3017606040 hasConceptScore W3017606040C149635348 @default.
- W3017606040 hasConceptScore W3017606040C150594956 @default.
- W3017606040 hasConceptScore W3017606040C154945302 @default.
- W3017606040 hasConceptScore W3017606040C33923547 @default.
- W3017606040 hasConceptScore W3017606040C41008148 @default.
- W3017606040 hasFunder F4320337472 @default.
- W3017606040 hasIssue "1" @default.
- W3017606040 hasLocation W30176060401 @default.
- W3017606040 hasOpenAccess W3017606040 @default.
- W3017606040 hasPrimaryLocation W30176060401 @default.
- W3017606040 hasRelatedWork W1996541855 @default.
- W3017606040 hasRelatedWork W2355927362 @default.
- W3017606040 hasRelatedWork W2961085424 @default.
- W3017606040 hasRelatedWork W3046775127 @default.
- W3017606040 hasRelatedWork W3195168932 @default.
- W3017606040 hasRelatedWork W4285260836 @default.
- W3017606040 hasRelatedWork W4286629047 @default.
- W3017606040 hasRelatedWork W4306321456 @default.
- W3017606040 hasRelatedWork W4306674287 @default.
- W3017606040 hasRelatedWork W4224009465 @default.
- W3017606040 hasVolume "1" @default.
- W3017606040 isParatext "false" @default.
- W3017606040 isRetracted "false" @default.
- W3017606040 magId "3017606040" @default.
- W3017606040 workType "article" @default.