BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 38872146)

  • 1. Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare.
    Casanova IJ; Campos M; Juarez JM; Gomariz A; Canovas-Segura B; Lorente-Ros M; Lorente JA
    BMC Med Inform Decis Mak; 2024 Jun; 24(1):165. PubMed ID: 38872146
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study.
    Casanova IJ; Campos M; Juarez JM; Gomariz A; Lorente-Ros M; Lorente JA
    JMIR Med Inform; 2022 Aug; 10(8):e32319. PubMed ID: 35947437
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Medical temporal-knowledge discovery via temporal abstraction.
    Moskovitch R; Shahar Y
    AMIA Annu Symp Proc; 2009 Nov; 2009():452-6. PubMed ID: 20351898
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Patient ranking with temporally annotated data.
    Bonomi L; Jiang X
    J Biomed Inform; 2018 Feb; 78():43-53. PubMed ID: 29277597
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Discovering metric temporal constraint networks on temporal databases.
    Álvarez MR; Félix P; Cariñena P
    Artif Intell Med; 2013 Jul; 58(3):139-54. PubMed ID: 23660232
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mining of high utility-probability sequential patterns from uncertain databases.
    Zhang B; Lin JC; Fournier-Viger P; Li T
    PLoS One; 2017; 12(7):e0180931. PubMed ID: 28742847
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mining actionable combined high utility incremental and associated sequential patterns.
    Shi M; Gong Y; Xu T; Zhao L
    PLoS One; 2023; 18(3):e0283365. PubMed ID: 36989254
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Efficient Mining Template of Predictive Temporal Clinical Event Patterns From Patient Electronic Medical Records.
    Li J; Tan X; Xu X; Wang F
    IEEE J Biomed Health Inform; 2019 Sep; 23(5):2138-2147. PubMed ID: 30346297
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma.
    Campbell EA; Bass EJ; Masino AJ
    J Am Med Inform Assoc; 2020 Apr; 27(4):558-566. PubMed ID: 32049282
    [TBL] [Abstract][Full Text] [Related]  

  • 10. High-throughput phenotyping with temporal sequences.
    Estiri H; Strasser ZH; Murphy SN
    J Am Med Inform Assoc; 2021 Mar; 28(4):772-781. PubMed ID: 33313899
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Implementation and evaluation of a multivariate abstraction-based, interval-based dynamic time-warping method as a similarity measure for longitudinal medical records.
    Lion M; Shahar Y
    J Biomed Inform; 2021 Nov; 123():103919. PubMed ID: 34628062
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Acquisition of temporal patterns from electronic health records: an application to multimorbid patients.
    Ageno A; Català N; Pons M
    BMC Med Inform Decis Mak; 2023 Sep; 23(1):189. PubMed ID: 37726756
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mining Sequential Risk Patterns From Large-Scale Clinical Databases for Early Assessment of Chronic Diseases: A Case Study on Chronic Obstructive Pulmonary Disease.
    Cheng YT; Lin YF; Chiang KH; Tseng VS
    IEEE J Biomed Health Inform; 2017 Mar; 21(2):303-311. PubMed ID: 28129195
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The use of sequential pattern mining to predict next prescribed medications.
    Wright AP; Wright AT; McCoy AB; Sittig DF
    J Biomed Inform; 2015 Feb; 53():73-80. PubMed ID: 25236952
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mining significant high utility gene regulation sequential patterns.
    Zihayat M; Davoudi H; An A
    BMC Syst Biol; 2017 Dec; 11(Suppl 6):109. PubMed ID: 29297335
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A node linkage approach for sequential pattern mining.
    Navarro O; Cumplido R; Villaseñor-Pineda L; Feregrino-Uribe C; Carrasco-Ochoa JA
    PLoS One; 2014; 9(6):e95418. PubMed ID: 24933123
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Temporal pattern mining for multivariate clinical decision support.
    Saini S; Dua S
    Stud Health Technol Inform; 2013; 192():1228. PubMed ID: 23921002
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Visually defining and querying consistent multi-granular clinical temporal abstractions.
    Combi C; Oliboni B
    Artif Intell Med; 2012 Feb; 54(2):75-101. PubMed ID: 22177662
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Mining Contiguous Sequential Generators in Biological Sequences.
    Zhang J; Wang Y; Zhang C; Shi Y
    IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):855-867. PubMed ID: 26529774
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.