Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare. (Record no. 14586)

MARC details
000 -LEADER
fixed length control field 04057nam a22004937a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240807s20242024 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1472-6947
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1186/s12911-024-02566-4 [pii]
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code PMC11170878 [pmc]
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 38872146
245 ## - TITLE STATEMENT
Title Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare.
251 ## - Source
Source BMC Medical Informatics & Decision Making. 24(1):165, 2024 Jun 13.
252 ## - Abbreviated Source
Abbreviated source BMC Med Inf Decis Mak. 24(1):165, 2024 Jun 13.
253 ## - Journal Name
Journal name BMC medical informatics and decision making
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2024
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Manufacturer FY2024
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Publication date 2024 Jun 13
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Publication status epublish
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Medline status MEDLINE
266 ## - Date added to catalog
Date added to catalog 2024-08-07
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Date Medline record created 2024/06/13 23:35
501 ## - WITH NOTE
Local holdings Available online from MWHC library: 2001 - present
520 ## - SUMMARY, ETC.
Abstract BACKGROUND: Pattern mining techniques are helpful tools when extracting new knowledge in real practice, but the overwhelming number of patterns is still a limiting factor in the health-care domain. Current efforts concerning the definition of measures of interest for patterns are focused on reducing the number of patterns and quantifying their relevance (utility/usefulness). However, although the temporal dimension plays a key role in medical records, few efforts have been made to extract temporal knowledge about the patient's evolution from multivariate sequential patterns.
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Abstract CONCLUSIONS: Our proposed method with which to extract JDORSP generates a set of interpretable multivariate sequential patterns with new knowledge regarding the temporal evolution of the patients. The number of patterns is greatly reduced when compared to those generated by other methods and measures of interest. An additional advantage of this method is that it does not require any parameters or thresholds, and that the reduced number of patterns allows a manual evaluation. Copyright © 2024. The Author(s).
520 ## - SUMMARY, ETC.
Abstract METHODS: In this paper, we propose a method to extract a new type of patterns in the clinical domain called Jumping Diagnostic Odds Ratio Sequential Patterns (JDORSP). The aim of this method is to employ the odds ratio to identify a concise set of sequential patterns that represent a patient's state with a statistically significant protection factor (i.e., a pattern associated with patients that survive) and those extensions whose evolution suddenly changes the patient's clinical state, thus making the sequential patterns a statistically significant risk factor (i.e., a pattern associated with patients that do not survive), or vice versa.
520 ## - SUMMARY, ETC.
Abstract RESULTS: The results of our experiments highlight that our method reduces the number of sequential patterns obtained with state-of-the-art pattern reduction methods by over 95%. Only by achieving this drastic reduction can medical experts carry out a comprehensive clinical evaluation of the patterns that might be considered medical knowledge regarding the temporal evolution of the patients. We have evaluated the surprisingness and relevance of the sequential patterns with clinicians, and the most interesting fact is the high surprisingness of the extensions of the patterns that become a protection factor, that is, the patients that recover after several days of being at high risk of dying.
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element *Data Mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining/mt [Methods]
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Delivery of Health Care
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 Humans
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Odds Ratio
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern Recognition, Automated
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Time Factors
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Indexing Automated
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Institution MedStar Heart & Vascular Institute
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Medline publication type Journal Article
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Local Authors Lorente-Ros, Marta
Institution Code MHVI
790 ## - Authors
All authors Casanova IJ, Campos M, Juarez JM, Gomariz A, Canovas-Segura B, Lorente-Ros M, Lorente JA
856 ## - ELECTRONIC LOCATION AND ACCESS
DOI <a href="https://dx.doi.org/10.1186/s12911-024-02566-4">https://dx.doi.org/10.1186/s12911-024-02566-4</a>
Public note https://dx.doi.org/10.1186/s12911-024-02566-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
              08/07/2024   38872146 08/07/2024 08/07/2024 Journal Article

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