Search Results - "Casillas, Arantza"

Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches by Weegar, Rebecka, Pérez, Alicia, Casillas, Arantza, Oronoz, Maite

“…Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized…”
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On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions by Oronoz, Maite, Gojenola, Koldo, Pérez, Alicia, de Ilarraza, Arantza Díaz, Casillas, Arantza

“…[Display omitted] •Creation of a gold standard of electronic health records in Spanish.•Annotation of diseases, drugs and adverse drug reaction (ADR)…”
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Extreme Multi-Label ICD Classification: Sensitivity to Hospital Service and Time by Blanco, Alberto, Perez, Alicia, Casillas, Arantza

“…This work deals with clinical text mining for automatic classification of Electronic Health Records (EHRs) with respect to the International Classification of…”
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Quantifying decision support level of explainable automatic classification of diagnoses in Spanish medical records by Lebeña, Nuria, Pérez, Alicia, Casillas, Arantza

“…In the realm of automatic Electronic Health Records (EHR) classification according to the International Classification of Diseases (ICD) there is a notable gap…”
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Exploiting ICD Hierarchy for Classification of EHRs in Spanish Through Multi-Task Transformers by Blanco, Alberto, Perez, Alicia, Casillas, Arantza

“…Electronic Health Records (EHRs) convey valuable information. Experts in clinical documentation read the report, understand the prior work, procedures, tests…”
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Machine Learning Approaches on Diagnostic Term Encoding With the ICD for Clinical Documentation by Atutxa, Aitziber, Perez, Alicia, Casillas, Arantza

“…This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs) are used as keywords to retrieve valuable information…”
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Exploring Joint AB-LSTM With Embedded Lemmas for Adverse Drug Reaction Discovery by Santiso, Sara, Perez, Alicia, Casillas, Arantza

“…This work focuses on the detection of adverse drug reactions (ADRs) in electronic health records (EHRs) written in Spanish. The World Health Organization…”
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Extracting Cause of Death From Verbal Autopsy With Deep Learning Interpretable Methods by Blanco, Alberto, Perez, Alicia, Casillas, Arantza, Cobos, Daniel

“…The international standard to ascertain the cause of death is medical certification. However, in many low and middle-income countries, the majority of deaths…”
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Neural negated entity recognition in Spanish electronic health records by Santiso, Sara, Pérez, Alicia, Casillas, Arantza, Oronoz, Maite

“…[Display omitted] •The goal is to detect negated Clinical Named Entities.•Character embeddings are able to cope with lexical variability in EHRs.•The Bi-LSTM…”
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Preliminary exploration of topic modelling representations for Electronic Health Records coding according to the International Classification of Diseases in Spanish by Lebeña, Nuria, Blanco, Alberto, Pérez, Alicia, Casillas, Arantza

“…In this work, we cope with the classification of Electronic Health Records (EHR) in Spanish according to the International Classification of Diseases (ICD). We…”
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Adverse Drug Reaction extraction: Tolerance to entity recognition errors and sub-domain variants by Santiso, Sara, Pérez, Alicia, Casillas, Arantza

“…•Clinical text mining is applied to Adverse Drug Reaction (ADR) extraction.•An ADR is a cause-effect relation between a drug and a disease.•Stages: 1)…”
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Explainable ICD multi-label classification of EHRs in Spanish with convolutional attention by Trigueros, Owen, Blanco, Alberto, Lebeña, Nuria, Casillas, Arantza, Pérez, Alicia

“…•Convolutional networks with attention mechanisms allow explainable predictions.•Attention mechanisms can be employed to design Decision Support…”
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Word embeddings for negation detection in health records written in Spanish by Santiso, Sara, Casillas, Arantza, Pérez, Alicia, Oronoz, Maite

“…This work focuses on the creation of a system to detect negated medical entities in electronic health records (EHRs) written in Spanish. The importance of this…”
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Multi-label clinical document classification: Impact of label-density by Blanco, Alberto, Casillas, Arantza, Pérez, Alicia, Diaz de Ilarraza, Arantza

“…•Expert clinicians assign, manually, codes from the ICD-10 to health records.•Neural Networks (NNs) are well suited for multi-label classication…”
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Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish by Blanco, Alberto, Remmer, Sonja, Pérez, Alicia, Dalianis, Hercules, Casillas, Arantza

“…[Display omitted] •PlaBERT: a multi-label text classifier with Per-label Attention.•Electronic Health Record automatic coding in English, Spanish and…”
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Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity by Blanco, Alberto, Perez-de-Viñaspre, Olatz, Pérez, Alicia, Casillas, Arantza

“…•The comprehensive documentation of health data is crucial for public health.•Task: Automatically coding the diagnostic terms present in a free-text medical…”
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Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic? by Cejudo, Ander, Casillas, Arantza, Pérez, Alicia, Oronoz, Maite, Cobos, Daniel

“…Civil registration and vital statistics systems capture birth and death events to compile vital statistics and to provide legal rights to citizens. Vital…”
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Smoothing dense spaces for improved relation extraction between drugs and adverse reactions by Santiso, Sara, Pérez, Alicia, Casillas, Arantza

“…•The goal is to extract Adverse Drug Reactions (ADRs) from Electronic Health Records (EHRs) in Spanish.•An ADR is a relation between two entities (a drug and,…”
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Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora by Pérez, Alicia, Weegar, Rebecka, Casillas, Arantza, Gojenola, Koldo, Oronoz, Maite, Dalianis, Hercules

“…[Display omitted] •Medical Entity Recognition (MER) in Electronic Health Records in Spanish and Swedish.•Comparable corpora and equal conditions in the…”
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Measuring the effect of different types of unsupervised word representations on Medical Named Entity Recognition by Casillas, Arantza, Ezeiza, Nerea, Goenaga, Iakes, Pérez, Alicia, Soto, Xabier

“…•Medical Entity Recognition is crucial for accurate clinical text processing.•Our approach implements neural networks and word embeddings.•The focus is on…”
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