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For: Batal I, Cooper G, Fradkin D, Harrison J, Moerchen F, Hauskrecht M. An Efficient Pattern Mining Approach for Event Detection in Multivariate Temporal Data. Knowl Inf Syst 2016;46:115-150. [PMID: 26752800 PMCID: PMC4704806 DOI: 10.1007/s10115-015-0819-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2013] [Revised: 08/31/2014] [Accepted: 12/06/2014] [Indexed: 11/27/2022]
Number Cited by Other Article(s)
1
Omen: discovering sequential patterns with reliable prediction delays. Knowl Inf Syst 2022. [DOI: 10.1007/s10115-022-01660-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
2
Lee JM, Hauskrecht M. Modeling multivariate clinical event time-series with recurrent temporal mechanisms. Artif Intell Med 2021;112:102021. [PMID: 33581828 PMCID: PMC7943294 DOI: 10.1016/j.artmed.2021.102021] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 12/26/2020] [Accepted: 01/10/2021] [Indexed: 12/18/2022]
3
Jane YN, Nehemiah HK, Kannan A. Classifying unevenly spaced clinical time series data using forecast error approximation based bottom-up (FeAB) segmented time delay neural network. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING: IMAGING & VISUALIZATION 2021. [DOI: 10.1080/21681163.2020.1817791] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
4
Estiri H, Strasser ZH, Klann JG, McCoy TH, Wagholikar KB, Vasey S, Castro VM, Murphy ME, Murphy SN. Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations. PATTERNS (NEW YORK, N.Y.) 2020;1:100051. [PMID: 32835307 PMCID: PMC7301790 DOI: 10.1016/j.patter.2020.100051] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 04/27/2020] [Accepted: 05/26/2020] [Indexed: 12/13/2022]
5
Estiri H, Vasey S, Murphy SN. Transitive Sequential Pattern Mining for Discrete Clinical Data. Artif Intell Med 2020. [DOI: 10.1007/978-3-030-59137-3_37] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
6
Kocheturov A, Momcilovic P, Bihorac A, Pardalos PM. Extended vertical lists for temporal pattern mining from multivariate time series. EXPERT SYSTEMS 2019;36:e12448. [PMID: 33162636 PMCID: PMC7646935 DOI: 10.1111/exsy.12448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 05/10/2019] [Indexed: 06/11/2023]
7
Confidence-based early classification of multivariate time series with multiple interpretable rules. Pattern Anal Appl 2019. [DOI: 10.1007/s10044-019-00782-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
8
He Z, Zhang S, Gu F, Wu J. Mining conditional discriminative sequential patterns. Inf Sci (N Y) 2019. [DOI: 10.1016/j.ins.2018.11.043] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
9
Georga EI, Tachos NS, Sakellarios AI, Kigka VI, Exarchos TP, Pelosi G, Parodi O, Michalis LK, Fotiadis DI. Artificial Intelligence and Data Mining Methods for Cardiovascular Risk Prediction. ACTA ACUST UNITED AC 2019. [DOI: 10.1007/978-981-10-5092-3_14] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
10
Mining Compact Predictive Pattern Sets Using Classification Model. Artif Intell Med 2019;11526:386-396. [DOI: 10.1007/978-3-030-21642-9_49] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
11
Li J, Tan X, Xu X, Wang F. Efficient Mining Template of Predictive Temporal Clinical Event Patterns From Patient Electronic Medical Records. IEEE J Biomed Health Inform 2018;23:2138-2147. [PMID: 30346297 DOI: 10.1109/jbhi.2018.2877255] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
12
Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis. J Biomed Inform 2018;81:74-82. [PMID: 29555443 DOI: 10.1016/j.jbi.2018.03.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 02/14/2018] [Accepted: 03/07/2018] [Indexed: 01/08/2023]
13
Sequential data classification by dynamic state warping. Knowl Inf Syst 2017. [DOI: 10.1007/s10115-017-1139-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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