Search Results - "Juarez, Jose M"
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Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical Analysis
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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Spatial-temporal simulation for hospital infection spread and outbreaks of Clostridioides difficile
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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Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare
Published in BMC medical informatics and decision making (13-06-2024)“…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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Approaches for Dealing with Seasonality in Clinical Prediction Models for Infections
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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VLSD—An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate
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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Visualization of Spatial–Temporal Epidemiological Data: A Scoping Review
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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Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study
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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Spatiotemporal Data Modelling for Epidemiological Research in Hospitals
Published in IEEE journal of biomedical and health informatics (01-10-2024)“…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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Comprehensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines
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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The use of networks in spatial and temporal computational models for outbreak spread in epidemiology: A systematic review
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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Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework
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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A methodology based on Trace-based clustering for patient phenotyping
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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Monitoring elderly people at home with temporal Case-Based Reasoning
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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Multi-objective evolutionary algorithms for fuzzy classification in survival prediction
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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A lightweight acquisition of expert rules for interoperable clinical decision support systems
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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A decision support system for antibiotic prescription based on local cumulative antibiograms
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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Evaluating Case-Base Maintenance algorithms
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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Impact of expert knowledge on the detection of patients at risk of antimicrobial therapy failure by clinical decision support systems
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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A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy
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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Follow-up after failed newborn hearing screening: Parental and primary care provider awareness
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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