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Daniel Capurro
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- affiliation: University of Melbourne, Melbourne, Australia
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2020 – today
- 2024
- [j17]Roben Delos Reyes, Daniel Capurro, Nicholas Geard:
Modelling patient trajectories in emergency department simulations using retrospective patient cohorts. Comput. Biol. Medicine 182: 109147 (2024) - [j16]Joanna Lawrence, Mike South, Harriet Hiscock, Daniel Capurro, Anurag Sharma, Jemimah Ride:
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital. J. Am. Medical Informatics Assoc. 31(3): 600-610 (2024) - [j15]Rachel Canaway, Christine Chidgey, Christine Hallinan, Daniel Capurro, Douglas Iain Ross Boyle:
Undercounting diagnoses in Australian general practice: a data quality study with implications for population health reporting. BMC Medical Informatics Decis. Mak. 24(1): 155 (2024) - [c27]Prabodi Senevirathna, Douglas Pires, Daniel Capurro:
Clinical Translation of a Heparin-Induced Thrombocytopenia predictor for Intensive Care Patients. ACSW 2024: 124-129 - 2023
- [j14]Guilherme Luz Tortorella, Flavio Sanson Fogliatto, Diego Alfredo Mendoza Tlapa, Matthew Pepper, Daniel Capurro:
Digital transformation of health services: a value stream-oriented approach. Int. J. Prod. Res. 61(6): 1814-1828 (2023) - [j13]Jinghui Liu, Daniel Capurro, Anthony N. Nguyen, Karin Verspoor:
Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities. J. Biomed. Informatics 145: 104466 (2023) - [j12]Prabodi Senevirathna, Douglas E. V. Pires, Daniel Capurro:
Data-driven overdiagnosis definitions: A scoping review. J. Biomed. Informatics 147: 104506 (2023) - [c26]Sherah Kurnia, Agus Putra Wicaksana, Ryza Jazid Bahar, Rod Dilnutt, Ansa Riadi, Anis Fuad, Guardian Yoki Sanjaya, Daniel Capurro:
Enhancing Digital Health Literacy to Support Post-Pandemic Health Recovery in Indonesia: A Case Study in Makassar. ACIS 2023 - [c25]Michael Arias, Eric Rojas, Santiago Aguirre, Felipe Cornejo, Jorge Munoz-Gama, Marcos Sepúlveda, Daniel Capurro:
Defining Healthcare KPIs Using Process Mining and Patient Journey Maps. CLEI 2023: 1-10 - [c24]Kara Burns, Kit Huckvale, Ann Borda, Cecily Gilbert, Hasan Ferdous, Mahima Kalla, Wendy W. Chapman, Daniel Capurro:
Adapting an Environmental Scan for 'Insights Reporting': Learnings from an Online Brain Cancer Peer Support Platform. MedInfo 2023: 294-298 - [c23]Hunter Chen Chen, Abel Armas-Cervantes, Vickie Irving, Brian Dorricott, Daniel Capurro:
Visualising Healthcare Process Variability. MedInfo 2023: 790-794 - [c22]Sathana Dushyanthen, Dawn Choo, Meg Perrier, Kathleen Gray, Daniel Capurro, Douglas Pires, Brian E. Chapman, Graeme K. Hart, Kit Huckvale, Wendy W. Chapman, Kayley M. Lyons:
Designing an Interprofessional Online Course to Foster Learning Health Systems. MedInfo 2023: 1241-1245 - [c21]Jinghui Liu, Daniel Capurro, Anthony Nguyen, Karin Verspoor:
Uncovering Variations in Clinical Notes for NLP Modeling. MedInfo 2023: 1460-1461 - [c20]Kit Huckvale, Frank Smolenaers, Hasan Ferdous, Kara Burns, Mahima Kalla, Mady Mani, Daniel Capurro, Wendy W. Chapman:
A Hybrid Physical-Digital Simulation Laboratory to Expedite Context-Aware Design and Usability Testing in Digital Health. MedInfo 2023: 1513-1514 - [c19]Noushin Nazarian, Wendy Chapman, Daniel Capurro:
Clinical Experiences of Working with Patient-Generated Health Data in Primary Care. MedInfo 2023: 1564-1565 - [i6]Jinghui Liu, Daniel Capurro, Anthony N. Nguyen, Karin Verspoor:
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text. CoRR abs/2301.10887 (2023) - [i5]Alex G. C. de Sá, Daniel Gould, Anna Fedyukova, Mitchell Nicholas, Lucy Dockrell, Calvin Fletcher, David Pilcher, Daniel Capurro, David B. Ascher, Khaled El-Khawas, Douglas E. V. Pires:
Explainable Machine Learning for ICU Readmission Prediction. CoRR abs/2309.13781 (2023) - 2022
- [j11]Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo E. Andia, Cristian Tejos, Claudia Prieto, Daniel Capurro:
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images. ACM Comput. Surv. 54(10s): 203:1-203:40 (2022) - [j10]Jorge Munoz-Gama, Niels Martin, Carlos Fernández-Llatas, Owen A. Johnson, Marcos Sepúlveda, Emmanuel Helm, Victor Galvez-Yanjari, Eric Rojas, Antonio Martinez-Millana, Davide Aloini, Ilaria Angela Amantea, Robert Andrews, Michael Arias, Iris Beerepoot, Elisabetta Benevento, Andrea Burattin, Daniel Capurro, Josep Carmona, Marco Comuzzi, Benjamin Dalmas, Rene de la Fuente, Chiara Di Francescomarino, Claudio Di Ciccio, Roberto Gatta, Chiara Ghidini, Fernanda Gonzalez-Lopez, Gema Ibáñez-Sánchez, Hilda B. Klasky, Angelina Prima Kurniati, Xixi Lu, Felix Mannhardt, Ronny Mans, Mar Marcos, Renata Medeiros de Carvalho, Marco Pegoraro, Simon K. Poon, Luise Pufahl, Hajo A. Reijers, Simon Remy, Stefanie Rinderle-Ma, Lucia Sacchi, Fernando Seoane, Minseok Song, Alessandro Stefanini, Emilio Sulis, Arthur H. M. ter Hofstede, Pieter J. Toussaint, Vicente Traver, Zoe Valero-Ramon, Inge van de Weerd, Wil M. P. van der Aalst, Rob J. B. Vanwersch, Mathias Weske, Moe Thandar Wynn, Francesca Zerbato:
Process mining for healthcare: Characteristics and challenges. J. Biomed. Informatics 127: 103994 (2022) - [j9]Eimy Oliart, Eric Rojas, Daniel Capurro:
Are we ready for conformance checking in healthcare? Measuring adherence to clinical guidelines: A scoping systematic literature review. J. Biomed. Informatics 130: 104076 (2022) - [j8]Adriano Augusto, Timothy Deitz, Noel Faux, Jo-Anne Manski-Nankervis, Daniel Capurro:
Process mining-driven analysis of COVID-19's impact on vaccination patterns. J. Biomed. Informatics 130: 104081 (2022) - [j7]Jinghui Liu, Daniel Capurro, Anthony N. Nguyen, Karin Verspoor:
"Note Bloat" impacts deep learning-based NLP models for clinical prediction tasks. J. Biomed. Informatics 133: 104149 (2022) - [c18]Kit Huckvale, Wendy W. Chapman, Daniel Capurro:
The Validitron Sandbox: a cloud environment to support prototyping, workflow design and integration testing of data-focused digital health applications. AMIA 2022 - [c17]Colin McLean, Daniel Capurro:
Concept Drift Detection to Assess the Diffusion of Process Innovations in Healthcare. AMIA 2022 - 2021
- [j6]Siaw-Teng Liaw, Jason Guan Nan Guo, Sameera Ansari, Jitendra Jonnagaddala, Myron Anthony Godinho, Alder Jose Borelli, Simon de Lusignan, Daniel Capurro, Harshana Liyanage, Navreet Bhattal, Vicki Bennett, Jaclyn Chan, Michael G. Kahn:
Quality assessment of real-world data repositories across the data life cycle: A literature review. J. Am. Medical Informatics Assoc. 28(7): 1591-1599 (2021) - [j5]Jinghui Liu, Daniel Capurro, Anthony N. Nguyen, Karin Verspoor:
Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes. npj Digit. Medicine 4 (2021) - [c16]Anna Fedyukova, Douglas Pires, Daniel Capurro:
A comparative analysis of sepsis digital phenotyping methods. ACSW 2021: 19:1-19:4 - [i4]Daniel Capurro, Eduardo Velloso:
Dark Patterns, Electronic Medical Records, and the Opioid Epidemic. CoRR abs/2105.08870 (2021) - [i3]Anna Fedyukova, Douglas Pires, Daniel Capurro:
Quantifying machine learning-induced overdiagnosis in sepsis. CoRR abs/2107.10399 (2021) - [i2]Adriano Augusto, Timothy Deitz, Noel Faux, Jo-Anne Manski-Nankervis, Daniel Capurro:
Process Mining-Driven Analysis of the COVID19 Impact on the Vaccinations of Victorian Patients. CoRR abs/2112.04634 (2021) - 2020
- [i1]Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo E. Andia, Cristian Tejos, Claudia Prieto, Daniel Capurro:
A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation. CoRR abs/2010.10563 (2020)
2010 – 2019
- 2019
- [j4]Margaret Eberts, Daniel Capurro:
Patient and Physician Perceptions of the Impact of Electronic Health Records on the Patient-Physician Relationship. Appl. Clin. Inform. 10(04): 729-734 (2019) - 2018
- [j3]Camilo Alvarez, Eric Rojas, Michael Arias, Jorge Munoz-Gama, Marcos Sepúlveda, Valeria Herskovic, Daniel Capurro:
Discovering role interaction models in the Emergency Room using Process Mining. J. Biomed. Informatics 78: 60-77 (2018) - [c15]Eric Rojas, Daniel Capurro:
Characterization of Drug Use Patterns Using Process Mining and Temporal Abstraction Digital Phenotyping. Business Process Management Workshops 2018: 187-198 - [c14]Carlos Fernández-Llatas, Gema Ibáñez-Sánchez, Angeles Celda, Jesús Mandingorra, Lucia Aparici Tortajada, Antonio Martinez-Millana, Jorge Munoz-Gama, Marcos Sepúlveda, Eric Rojas, Víctor Gálvez, Daniel Capurro, Vicente Traver:
Analyzing Medical Emergency Processes with Process Mining: The Stroke Case. Business Process Management Workshops 2018: 214-225 - [c13]Eric Rojas, Andres Cifuentes, Andrea Burattin, Jorge Munoz-Gama, Marcos Sepúlveda, Daniel Capurro:
Analysis of Emergency Room Episodes Duration Through Process Mining. Business Process Management Workshops 2018: 251-263 - 2017
- [c12]Eric Rojas, Carlos Fernández-Llatas, Vicente Traver, Jorge Munoz-Gama, Marcos Sepúlveda, Valeria Herskovic, Daniel Capurro:
PALIA-ER: Bringing Question-Driven Process Mining Closer to the Emergency Room. BPM (Demos) 2017 - [c11]Daniel Capurro, Aisen Echeverry, Rosa L. Figueroa, Sergio Guiñez, Carla Taramasco, César Galindo, Angélica Avendaño, Alejandra Garcia, Steffen Härtel:
Chile's National Center for Health Information Systems: A Public-Private Partnership to Foster Health Care Information Interoperability. MedInfo 2017: 693-695 - [c10]Carolina Salazar, Jaime de los Hoyos, Francisco Izurieta, Daniel Jara, Daniel Capurro:
Use of an Off-the-Shelf Corporate Information Tool to Track a High-Level-Disinfection Process. MedInfo 2017: 1377 - 2016
- [j2]Eric Rojas, Jorge Munoz-Gama, Marcos Sepúlveda, Daniel Capurro:
Process mining in healthcare: A literature review. J. Biomed. Informatics 61: 224-236 (2016) - [c9]Claudio Daza, Josefa Santa Maria, Ignacio Gómez, Mario Barbe, Javier Trincado, Daniel Capurro:
Phenotyping Intensive Care Unit Patients Using Temporal Abstractions and Temporal Pattern Matching. BCB 2016: 508-509 - 2015
- [c8]Daniel Capurro, Shomir Chaudhuri, Anne M. Turner:
The Online Availability of Multilingual Health Promotion Materials Produced by Local Health Departments: an Information Assessment. MedInfo 2015: 380-385 - [c7]Daniel Capurro, Mauricio Soto, Patricio Giacaman, Silvia Catalán:
Characterization of Help Desk issues After the Implementation of an Emergency Department Electronic Health Record. MedInfo 2015: 875 - [c6]Mauricio Soto, Daniel Capurro, Silvia Catalán:
Evaluating the data completeness in the Electronic Health Record after the Implementation of an Outpatient Electronic Health Record. MedInfo 2015: 885 - 2014
- [j1]Katrin Kirchhoff, Daniel Capurro, Anne M. Turner:
A conjoint analysis framework for evaluating user preferences in machine translation. Mach. Transl. 28(1): 1-17 (2014) - 2013
- [c5]Anne M. Turner, Hannah Mandel, Daniel Capurro:
Local Health Department Translation Processes: Potential of Machine Translation Technologies to Help Meet Needs. AMIA 2013 - [c4]Gabriel Rada, Daniel Pérez, Daniel Capurro:
Epistemonikos: A Free, Relational, Collaborative, Multilingual Database of Health Evidence. MedInfo 2013: 486-490 - [c3]Daniel Capurro, Matthias Ganzinger, José E. Pérez-Lu:
Palliative Care from a Medical Informatics Perspective in Chile, Germany, and Peru. MedInfo 2013: 1013 - 2012
- [c2]Katrin Kirchhoff, Daniel Capurro, Anne M. Turner:
Evaluating User Preferences in Machine Translation Using Conjoint Analysis. EAMT 2012: 119-126 - [c1]Michael Tepper, Daniel Capurro, Fei Xia, Lucy Vanderwende, Meliha Yetisgen-Yildiz:
Statistical Section Segmentation in Free-Text Clinical Records. LREC 2012: 2001-2008
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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