Naiara Muro

ORCID: 0000-0002-6961-062X
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About
Contact & Profiles
Research Areas
  • Biomedical Text Mining and Ontologies
  • Clinical practice guidelines implementation
  • Semantic Web and Ontologies
  • Electronic Health Records Systems
  • AI in cancer detection
  • Mobile Health and mHealth Applications
  • Service-Oriented Architecture and Web Services
  • Artificial Intelligence in Healthcare
  • Breast Cancer Treatment Studies
  • Health Systems, Economic Evaluations, Quality of Life
  • Digital Mental Health Interventions
  • Telemedicine and Telehealth Implementation
  • Microscopic Colitis
  • Public Health in Brazil
  • Technology and Data Analysis
  • Social Media in Health Education
  • Clinical Nutrition and Gastroenterology
  • Child Nutrition and Water Access
  • Medication Adherence and Compliance
  • Global Cancer Incidence and Screening
  • Big Data and Business Intelligence
  • Data Visualization and Analytics
  • Inflammatory Bowel Disease
  • Diagnosis and treatment of tuberculosis
  • Image Retrieval and Classification Techniques

Biogipuzkoa Health Research Institute
2017-2020

Université Paris Cité
2017-2020

Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
2017-2020

Sorbonne Paris Cité
2017-2020

Université Sorbonne Paris Nord
2017-2020

Sorbonne Université
2017-2020

Inserm
2017-2020

Vicomtech
2016-2020

Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
2019

Universidad Autónoma de Madrid
2019

The evidence that quality of life is a positive variable for the survival cancer patients has prompted interest health and pharmaceutical industry in considering as final clinical outcome. Sustained improvements care recent years have resulted increased numbers people living with beyond cancer, attention being placed on improving those individuals. Connected Health provides foundations transformation into patient-centric model, focused providing fully connected, personalized support therapy...

10.2196/14360 article EN cc-by Journal of Medical Internet Research 2019-08-25

The status of the data-driven management cancer care as well challenges, opportunities, and recommendations aimed at accelerating rate progress in this field are topics great interest. Two international workshops, one conducted June 2019 Cordoba, Spain, October Athens, Greece, were organized by four Horizon 2020 (H2020) European Union (EU)-funded projects: BOUNCE, CATCH ITN, DESIREE, MyPal. issues covered included patient engagement, knowledge decision support systems, journey,...

10.2196/22034 article EN cc-by Journal of Medical Internet Research 2020-12-15

Technologies such as decision support systems are expected to help clinicians implement clinical practice guidelines (CPGs) with the aim of decreasing variations and improving outcomes. However, if CPGs provide recommendations improve patient care, they may fail take into account actual outcomes associated recommended treatment, adverse events or secondary effects. In this paper, we present a novel experience-based approach applied management breast cancer, most commonly diagnosed cancer...

10.3233/978-1-61499-824-2-33 article EN Studies in health technology and informatics 2017-01-01

DESIREE is a European-funded project to improve the management of primary breast cancer. We have developed three decision support systems (DSSs), guideline-based, an experience-based, and case-based DSSs, resp. GL-DSS, EXP-DSS, CB-DSS, that operate simultaneously offer enriched multi-modal clinicians. A cancer knowledge model has been built describe within common ontology data termino-ontological used for representing patient cases. It allows rule-based subsumption-based reasoning in GL-DSS...

10.3233/978-1-61499-921-8-190 article EN Studies in health technology and informatics 2018-01-01

Over the past years, clinical guidelines have increasingly become part of daily practice in order to provide best available Evidence-Based-Medicine services.Hence, their formalization as computer interpretable (CIG) and implementation decision support systems (CDSSs) are emerging clinicians making process potentially improve medical outcomes.However, guideline compliancy is still "low".Some reasons for such low compliance rate (i) lack a complete cover special cases (e.g.oncogeriatric...

10.5220/0006213903700376 article EN cc-by-nc-nd Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies 2017-01-01

Breast cancer is identified as the most common type of in women worldwide with 1.6 million around world diagnosed every year.This prompts many active areas research identifying better ways to prevent, detect, and treat breast cancer.DESIREE a European Union funded project, which aims at developing webbased software ecosystem for multidisciplinary management primary cancer.The development an intelligent clinical decision support system offering various modalities one key objectives...

10.2991/ijcis.2018.25905180 article EN cc-by International Journal of Computational Intelligence Systems 2018-01-01

Breast cancer is the most common type of in women worldwide, with incidence rate being second highest to other types cancer. In current clinical setting, multidisciplinary breast units are introduced improve quality therapeutic decision based on best evidence-based practices. DESIREE project aims provide a web-based software ecosystem for personalized, collaborative and management primary by specialized units, from diagnosis therapy follow-ups. order multi-model support clinicians present...

10.1109/healthcom.2018.8531128 article EN 2018-09-01

Breast cancer is the most common in women worldwide, with around 1.7 million new cases every year, and it a complex disease. Each case usually discussed multidisciplinary teams or committees, called breast units. They are composed by oncologists, surgeons, psychologists other specialist, they use to have very limited time, 3 10 minutes per patient, make treatment decision. Some may be quite "easy", but 10-20% of not so clear - what we "grey areas", supported clinical guidelines, which...

10.1109/healthcom.2018.8531099 article EN 2018-09-01

Clinical Practice Guidelines (CPGs) are promoted as a powerful tool for standardization of the medical care quality and improvement patients' outcomes. However, CPGs need to be formalized in computer interpretable format (i.e. Computer Interpretable or CIGs) their implementation within Decision Support Systems (CDSS). But, maintaining reliability these guidelines when deploying them different clinical settings is still challenge. On one hand, complexity language complicates adoption...

10.3233/shti200214 article EN Studies in health technology and informatics 2020-01-01

Digitalization of the decision-making process in healthcare has been promoted to improve clinical performance and patient outcomes. The implementation Clinical Practice Guidelines (CPGs) using Decision Support Systems (CDSSs) is widely developed order achieve this purpose within information systems. Nevertheless, due several factors such as (i) incompleteness CPG knowledge, (ii) out-of-date contents, or (iii) knowledge gaps for specific situations, guideline-based CDSSs may not completely...

10.1109/embc.2019.8856459 article EN 2019-07-01

Breast Cancer is a complex disease characterized by multiple variables obtained from several data-sources, such as clinical, genetic or image sources. Over the past decades, various studies have tried to predict outcome of breast cancer with support these data, and big advances been done in this direction. However, only few reports describe causal relationships among outcomes, adverse events survival rate, usually they are very limited specific dataset. This research work presents novel...

10.1109/healthcom.2018.8531192 article EN 2018-09-01

Breast cancer is the most overspread in women worldwide, with around 1.7 million new cases every year. Multidisciplinary clinical teams or committees, usually known as Units (BU), are heterogeneous composed by all specialist involved care of a breast patient (e.g. oncologist, surgeon, ...) that aim to discuss these complex from points view and shortest time provide best health care. BUs base their decisions on Clinical Practice Guidelines (CPGs), documents summarize latest evidence-based...

10.1109/cbms.2019.00033 article EN 2019-06-01

The benefits of following Clinical Practice Guidelines (CPGs) in the daily practice medicine have been widely studied, being a powerful method for standardization and improvement medical care quality. However, applying these guidelines to promote evidence-based up-to-date clinical is known challenge due lack digitalization guidelines. In order overcome this issue, use Decision Support Systems (CDSS) has promoted centres. Nevertheless, CPGs must be formalized computer interpretable way...

10.5220/0008068001040114 article EN cc-by-nc-nd 2019-01-01

<sec> <title>BACKGROUND</title> The status of the data-driven management cancer care as well challenges, opportunities, and recommendations aimed at accelerating rate progress in this field are topics great interest. Two international workshops, one conducted June 2019 Cordoba, Spain, October Athens, Greece, were organized by four Horizon 2020 (H2020) European Union (EU)–funded projects: BOUNCE, CATCH ITN, DESIREE, MyPal. issues covered included patient engagement, knowledge decision support...

10.2196/preprints.22034 preprint EN 2020-07-01

<sec> <title>UNSTRUCTURED</title> The evidence that quality of life is a positive variable for survival cancer patients has prompted the interest health and pharmaceutical industry in considering as final clinical outcome. Sustained improvements care recent years have resulted increased numbers people living with beyond cancer, attention being placed on improving those individuals. Connected Health provides foundations transformation into patient-centric model, focused providing fully...

10.2196/preprints.14360 preprint EN 2019-04-12

Electronic Health Records are clinical information repositories that have been proposed primarily to provide access all data of a patient. They formally defined by dual model composed reference and an archetype model. Such approach allows semantic interoperability, thus making different systems understand each other. In this work we extend the current structure with third Decisional Model will allow reasoning over embedded contents. be based on reuse experience gained corresponding...

10.1080/01969722.2016.1128774 article EN Cybernetics & Systems 2016-01-02
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