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 |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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 |
266 ## - Date added to catalog |
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. |
520 ## - SUMMARY, ETC. |
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 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Indexing |
Automated |
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
Institution |
MedStar Heart & Vascular Institute |
657 ## - INDEX TERM--FUNCTION |
Medline publication type |
Journal Article |
700 ## - ADDED ENTRY--PERSONAL NAME |
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 |