By Professor Blanca Gallego Luxan

Preprints

Khalifa M; Magrabi F; Gallego B, 2019, Developing an Evidence-Based Framework for Grading and Assessment of Predictive Tools for Clinical Decision Support, http://dx.doi.org/10.48550/arxiv.1907.03706

Khalifa M; Magrabi F; Gallego B, 2019, Validating and Updating GRASP: A New Evidence-Based Framework for Grading and Assessment of Clinical Predictive Tools

Hwang H; Quiroz JC; Gallego B, Assessing The Effectiveness of Empirical Calibration Under Different Bias Scenarios, http://dx.doi.org/10.21203/rs.3.rs-1058822/v1

Kennedy G; Gallego B, Clinician Readiness to Adopt A.I. for Critical Care Prioritisation, http://dx.doi.org/10.1101/2021.02.11.21251604

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Rudd L; Jorm L, Curation and description of a blood glucose management and nutritional support cohort using the eICU collaborative research database, http://dx.doi.org/10.1101/2023.04.20.23288845

Khalifa M; Magrabi F; Gallego Luxan B, Evaluating the Impact of the Grading and Assessment of Predictive Tools Framework on Clinicians and Health Care Professionals’ Decisions in Selecting Clinical Predictive Tools: Randomized Controlled Trial (Preprint), http://dx.doi.org/10.2196/preprints.15770

Zhu J; Gallego B, Evolution of disease transmission rate during the course of SARS-COV-2: Patterns and determinants, http://dx.doi.org/10.21203/rs.3.rs-44647/v2

Zhu J; Gallego B, Evolution of disease transmission rate during the course of SARS-COV-2: Patterns and determinants, http://dx.doi.org/10.21203/rs.3.rs-44647/v1

Quiroz JC; Chard T; Sa Z; Ritchie A; Jorm L; Gallego B, Extract, Transform, Load Framework for the Conversion of Health Databases to OMOP, http://dx.doi.org/10.1101/2021.04.08.21255178

Greenberg JD; Huberts LCE; Ritchie A; Ooi S-Y; Flynn GM; Hart GK; Gallego B, Improved Sensitivity For Detection Of Clinical Deterioration When Diagnostic Pathology And Patient Trends Are Included In Machine Learning Models, http://dx.doi.org/10.1101/2024.10.20.24315403

Hallinan CM; Ward R; Hart GK; Sullivan C; Pratt N; Ng AP; Capurro D; Vegt AVD; Liaw T; Daly O; Luxan BG; Bunker D; Boyle D, Integrated Data Governance, Digital Health, and the Common Data Model (OMOP-CDM), http://dx.doi.org/10.21203/rs.3.rs-3479039/v1

Zhou N; Gallego B; Bao J; Tsafnat G, Pan-cancer scale landscape of simple somatic mutations, http://dx.doi.org/10.1101/112367

Castelyn G; Laranjo L; Schreier G; Gallego B, Predictive performance and impact of algorithms in remote monitoring of chronic conditions: a systematic review and meta-analysis (Preprint), http://dx.doi.org/10.2196/preprints.19253

Kuo NI-H; Tania MH; Gallego B; Jorm LR, PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling, http://dx.doi.org/10.64898/2026.03.19.26348848

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Rudd L; Jorm L, The relationship between hyperglycaemia on admission and patient outcome is modified by hyperlactatemia and diabetic status: a retrospective analysis of the eICU collaborative research database, http://dx.doi.org/10.1101/2023.05.01.23289339

Gallego B; Zhu J, Time-to-event comparative effectiveness of NOACs vs VKAs in newly diagnosed non-valvular atrial fibrillation patients, http://dx.doi.org/10.1101/2021.08.06.21261092

Liu L; Perez-Concha O; Nguyen A; Bennett V; Blake V; Gallego B; Jorm L, Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study (Preprint), http://dx.doi.org/10.2196/preprints.46322

Other

Hopkins T; Messum S; Deady L; Dimitri A; Soars L; Gallego-Luxan B; McKenzie D; Sands M, 2017, Advance Care Planning (ACP) for end stage respiratory patients identified using the Hospital One year Mortality Rating (HOMR) tool, European Respiratory Society

Luxan BG, 1995, Modelo de bases vibracionales contraidas aplicado a los modos de torsion y aleteo de la molecula de metilamina, Universidad Autonoma de Madrid, Facultad de Ciencias

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