MARC details
000 -LEADER |
fixed length control field |
02820nam a22004697a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200709s20192019 xxu||||| |||| 00| 0 eng d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
International Standard Serial Number |
1559-4076 |
024 ## - OTHER STANDARD IDENTIFIER |
Standard number or code |
PMC7153087 [pmc] |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
Ovid MEDLINE(R) |
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
PMID |
32308815 |
245 ## - TITLE STATEMENT |
Title |
Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR Data. |
251 ## - Source |
Source |
AMIA ... Annual Symposium Proceedings/AMIA Symposium. 2019:228-237, 2019. |
252 ## - Abbreviated Source |
Abbreviated source |
AMIA Annu Symp Proc. 2019:228-237, 2019. |
252 ## - Abbreviated Source |
Former abbreviated source |
AMIA Annu Symp Proc. 2019:228-237, 2019. |
253 ## - Journal Name |
Journal name |
AMIA ... Annual Symposium proceedings. AMIA Symposium |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Year |
2019 |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Manufacturer |
FY2020 |
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
Publication status |
epublish |
266 ## - Date added to catalog |
Date added to catalog |
2020-07-09 |
268 ## - Previous citation |
-- |
AMIA ... Annual Symposium Proceedings/AMIA Symposium. 2019:228-237, 2019. |
520 ## - SUMMARY, ETC. |
Abstract |
In this work, we utilize a combination of free-text and structured data to build Acute Respiratory Distress Syndrome(ARDS) prediction models and ARDS phenotype clusters. We derived 'Patient Context Vectors' representing patientspecific contextual ARDS risk factors, utilizing deep-learning techniques on ICD and free-text clinical notes data. The Patient Context Vectors were combined with structured data from the first 24 hours of admission, such as vital signs and lab results, to build an ARDS patient prediction model and an ARDS patient mortality prediction model achieving AUC of 90.16 and 81.01 respectively. The ability of Patient Context Vectors to summarize patients' medical history and current conditions is also demonstrated by the automatic clustering of ARDS patients into clinically meaningful phenotypes based on comorbidities, patient history, and presenting conditions. To our knowledge, this is the first study to successfully combine free-text and structured data, without any manual patient risk factor curation, to build real-time ARDS prediction models. Copyright (c)2019 AMIA - All rights reserved. |
546 ## - LANGUAGE NOTE |
Language note |
English |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
*Decision Support Systems, Clinical |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
*Deep Learning |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
*Electronic Health Records |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
*Medical History Taking/mt [Methods] |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
*Respiratory Distress Syndrome, Adult |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Comorbidity |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Hospitalization |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Humans |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Prognosis |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Respiratory Distress Syndrome, Adult/co [Complications] |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Respiratory Distress Syndrome, Adult/mo [Mortality] |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Risk Factors |
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
Institution |
MedStar Washington Hospital Center |
656 ## - INDEX TERM--OCCUPATION |
Department |
Emergency Medicine |
657 ## - INDEX TERM--FUNCTION |
Medline publication type |
Journal Article |
657 ## - INDEX TERM--FUNCTION |
Medline publication type |
Research Support, N.I.H., Extramural |
700 ## - ADDED ENTRY--PERSONAL NAME |
Local Authors |
Galarraga, Jessica E |
790 ## - Authors |
All authors |
Apostolova E, Galarraga JE, Koutroulis I, Tschampel T, Uppal A, Velez T, Wang T |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Journal Article |
Item type description |
Article |