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ORCIDRosa L. Figueroa
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2020 – today
- 2021
[j7]Christopher A. Flores
, Rosa L. Figueroa, Jorge E. Pezoa:
Active Learning for Biomedical Text Classification Based on Automatically Generated Regular Expressions. IEEE Access 9: 38767-38777 (2021)- 2020
- [j6]Christopher A. Flores, Rosa L. Figueroa, Jorge E. Pezoa, Qing Zeng-Treitler:
CREGEX: A Biomedical Text Classifier Based on Automatically Generated Regular Expressions. IEEE Access 8: 29270-29280 (2020) - [j5]Andrés Alejandro Ramos Magna, Héctor Allende-Cid, Carla Taramasco, Carlos Becerra, Rosa L. Figueroa:
Application of Machine Learning and Word Embeddings in the Classification of Cancer Diagnosis Using Patient Anamnesis. IEEE Access 8: 106198-106213 (2020)
2010 – 2019
- 2019
- [c10]Christopher A. Flores, Rosa L. Figueroa, Jorge E. Pezoa:
FREGEX: A Feature Extraction Method for Biomedical Text Classification using Regular Expressions. EMBC 2019: 6085-6088 - 2017
- [c9]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 - 2016
- [j4]Rosa L. Figueroa, Christopher A. Flores:
Extracting Information from Electronic Medical Records to Identify the Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures. J. Medical Syst. 40(8): 191:1-191:9 (2016) - 2015
- [c8]Rosa L. Figueroa, Christopher A. Flores:
Extracting Information from Electronic Medical Records to Identify Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures. AmIHEALTH 2015: 37-46 - 2014
- [c7]Rosa L. Figueroa, Diego A. Soto, Esteban J. Pino:
Identifying and extracting patient smoking status information from clinical narrative texts in Spanish. EMBC 2014: 2710-2713 - 2013
- [j3]Felipe Donoso, Rosa L. Figueroa, Eduardo A. Lecannelier, Esteban J. Pino, Alejandro J. Rojas:
Atrial activity selection for atrial fibrillation ECG recordings. Comput. Biol. Medicine 43(10): 1628-1636 (2013) - [c6]Rosa L. Figueroa, Diego A. Soto, Valeska Inostroza:
Medical Records Systems Usage in Developing Countries : A Study of Documentation and Form Entry Practices. AMIA 2013 - [c5]Rosa L. Figueroa, Guido E. Vallejos:
Supporting management of medical equipment for inpatient service in public hospitals: A case study. EMBC 2013: 898-901 - [c4]Felipe I. Donoso, Rosa L. Figueroa, Eduardo A. Lecannelier, Esteban J. Pino, Alejandro J. Rojas:
Clustering of atrial fibrillation based on surface ECG measurements. EMBC 2013: 4203-4206 - [c3]Rosa L. Figueroa, Qing Zeng-Treitler:
Text Classification Performance: Is the Sample Size the Only Factor to be Considered? MedInfo 2013: 1193 - 2012
- [j2]Rosa L. Figueroa, Qing Zeng-Treitler, Long H. Ngo, Sergey Goryachev, Eduardo P. Wiechmann:
Active learning for clinical text classification: is it better than random sampling? J. Am. Medical Informatics Assoc. 19(5): 809-816 (2012) - [j1]Rosa L. Figueroa, Qing Zeng-Treitler, Sasikiran Kandula, Long H. Ngo:
Predicting sample size required for classification performance. BMC Medical Informatics Decis. Mak. 12: 8 (2012) - 2011
- [c2]Matías A. Morales, Rosa L. Figueroa, Jael E. Cabrera:
Automatic Search of Nursing Diagnoses. CIARP 2011: 607-612
2000 – 2009
- 2009
- [c1]Rosa L. Figueroa, Qing Zeng-Treitler, Sergey Goryachev, Eduardo P. Wiechmann:
Tailoring Vocabularies for NLP in Sub-Domains: A Method to Detect Unused Word Sense. AMIA 2009
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