Search Results - "Juarez, Jose M"

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  1. 1

    Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical Analysis by Iglesias, Natalia, Juarez, Jose M, Campos, Manuel

    Published in Journal of medical Internet research (15-09-2022)
    “…Clinical pathways (CPs) are usually expressed by means of workflow formalisms, providing health care personnel with an easy-to-understand, high-level…”
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  2. 2

    Spatial-temporal simulation for hospital infection spread and outbreaks of Clostridioides difficile by Kim, Denisse, Canovas-Segura, Bernardo, Jimeno-Almazán, Amaya, Campos, Manuel, Juarez, Jose M.

    Published in Scientific reports (16-11-2023)
    “…Validated and curated datasets are essential for studying the spread and control of infectious diseases in hospital settings, requiring clinical information on…”
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  3. 3

    Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare by Casanova, Isidoro J, Campos, Manuel, Juarez, Jose M, Gomariz, Antonio, Canovas-Segura, Bernardo, Lorente-Ros, Marta, Lorente, Jose A

    “…Pattern mining techniques are helpful tools when extracting new knowledge in real practice, but the overwhelming number of patterns is still a limiting factor…”
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  4. 4

    Approaches for Dealing with Seasonality in Clinical Prediction Models for Infections by Cánovas-Segura, Bernardo, Morales, Antonio, Juarez, Jose M, Campos, Manuel

    Published in Applied sciences (01-07-2023)
    “…The quantitative effect of seasonality on the prevalence of infectious diseases has been widely studied in epidemiological models. However, its influence in…”
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  5. 5

    VLSD—An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate by Lopez-Martinez-Carrasco, Antonio, Juarez, Jose M., Campos, Manuel, Canovas-Segura, Bernardo

    Published in Algorithms (01-06-2023)
    “…Subgroup Discovery (SD) is a supervised data mining technique for identifying a set of relations (subgroups) among attributes from a dataset with respect to a…”
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  6. 6

    Visualization of Spatial–Temporal Epidemiological Data: A Scoping Review by Kim, Denisse, Cánovas-Segura, Bernardo, Campos, Manuel, Juarez, Jose M

    Published in Technologies (Basel) (01-02-2024)
    “…In recent years, the proliferation of health data sources due to computer technologies has prompted the use of visualization techniques to tackle…”
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  7. 7

    Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study by Casanova, Isidoro J, Campos, Manuel, Juarez, Jose M, Gomariz, Antonio, Lorente-Ros, Marta, Lorente, Jose A

    Published in JMIR medical informatics (10-08-2022)
    “…Background: It is important to exploit all available data on patients in settings such as intensive care burn units (ICBUs), where several variables are…”
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  8. 8

    Spatiotemporal Data Modelling for Epidemiological Research in Hospitals by Pujante-Otalora, Lorena, Campos, Manuel, Juarez, Jose M, Canovas-Segura, Bernardo

    “…Nosocomial infections are a great source of concern for healthcare organizations. The spatial layout of hospitals and the movements of patients play…”
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  9. 9

    Comprehensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines by Iglesias, Natalia, Juarez, Jose M., Campos, Manuel

    Published in Artificial intelligence in medicine (01-03-2020)
    “…•Help CDSS designers to determine the most suitable rule-based technology for modelling knowledge from CGs.•Identification of main requirements for computable…”
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  10. 10

    The use of networks in spatial and temporal computational models for outbreak spread in epidemiology: A systematic review by Pujante-Otalora, Lorena, Canovas-Segura, Bernardo, Campos, Manuel, Juarez, Jose M.

    Published in Journal of biomedical informatics (01-07-2023)
    “…[Display omitted] •Computational models with networks look suitable for simulating an outbreak.•This systematic review answers five research questions about…”
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  11. 11

    Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework by Cánovas-Segura, Bernardo, Morales, Antonio, Juarez, Jose M., Campos, Manuel

    Published in Journal of biomedical informatics (01-07-2023)
    “…Alerts are a common functionality of clinical decision support systems (CDSSs). Although they have proven to be useful in clinical practice, the alert burden…”
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  12. 12

    A methodology based on Trace-based clustering for patient phenotyping by Lopez-Martinez-Carrasco, Antonio, Juarez, Jose M., Campos, Manuel, Canovas-Segura, Bernardo

    Published in Knowledge-based systems (28-11-2021)
    “…The current situation of critical progression as regards the resistance of bacteria to antibiotics has led to the use of machine learning techniques in order…”
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  13. 13

    Monitoring elderly people at home with temporal Case-Based Reasoning by Lupiani, Eduardo, Juarez, Jose M., Palma, Jose, Marin, Roque

    Published in Knowledge-based systems (15-10-2017)
    “…This paper presents a study of why and how Case-Based Reasoning (CBR) can be used in the long term to help elderly people living alone in a Smart Home. The…”
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  14. 14

    Multi-objective evolutionary algorithms for fuzzy classification in survival prediction by JIMENEZ, Fernando, SANCHEZ, Gracia, JUAREZ, José M

    Published in Artificial intelligence in medicine (01-03-2014)
    “…Abstract Objective This paper presents a novel rule-based fuzzy classification methodology for survival/mortality prediction in severe burnt patients. Due to…”
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  15. 15

    A lightweight acquisition of expert rules for interoperable clinical decision support systems by Cánovas-Segura, Bernardo, Morales, Antonio, Juarez, Jose M., Campos, Manuel, Palacios, Francisco

    Published in Knowledge-based systems (01-03-2019)
    “…The process of adding new knowledge in the form of rules to already running Clinical Decision Support Systems (CDSSs) in hospitals is extremely costly and time…”
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  16. 16

    A decision support system for antibiotic prescription based on local cumulative antibiograms by Morales, Antonio, Campos, Manuel, Juarez, Jose M., Canovas-Segura, Bernardo, Palacios, Francisco, Marin, Roque

    Published in Journal of biomedical informatics (01-08-2018)
    “…[Display omitted] •NNF is a valuable measure as regards developing CDSS for antibiotic prescription.•ANNF and WANNF are appropriate for directed and empiric…”
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  17. 17

    Evaluating Case-Base Maintenance algorithms by Lupiani, Eduardo, Juarez, Jose M., Palma, Jose

    Published in Knowledge-based systems (01-09-2014)
    “…The success of a Case-Based Reasoning (CBR) system closely depends on its knowledge-base, named the case-base. The life cycle of CBR systems usually implies…”
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  18. 18

    Impact of expert knowledge on the detection of patients at risk of antimicrobial therapy failure by clinical decision support systems by Cánovas-Segura, Bernardo, Morales, Antonio, Juarez, Jose M., Campos, Manuel, Palacios, Francisco

    Published in Journal of biomedical informatics (01-06-2019)
    “…[Display omitted] •Antimicrobial Susceptibility Tests (ASTs) are used to characterise bacteria.•Clinicians prescribe the most appropriate treatments based on…”
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  19. 19

    A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy by Campos, Manuel, Jimenez, Fernando, Sanchez, Gracia, Juarez, Jose M., Morales, Antonio, Canovas-Segura, Bernardo, Palacios, Francisco

    Published in Artificial intelligence in medicine (01-01-2020)
    “…[Display omitted] •A method for selecting empiric antibiotic therapy can be based on a optimization model.•Multiple criteria are needed for development of new…”
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  20. 20

    Follow-up after failed newborn hearing screening: Parental and primary care provider awareness by Juarez, Jose M., Shaffer, Amber D., Chi, David H.

    Published in American journal of otolaryngology (01-11-2020)
    “…The current loss to follow-up rate after failed newborn hearing screening (NBHS) is 34.4%. Previous studies have found that lack of parental and primary care…”
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