Medikuntza arloko eta arlo juridikoko hizkuntzaren prozesamendua

Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages

The aim of this paper is to present our approach (MEDIA)on the CLEF-2020 eHealth Task 1. The task consists in automatically assigning ICD10 codes (CIE-10, in Spanish) to clinical case documents,evaluating the prediction against manually generated ICD10 codifications. Our system took part in two different subtasks: one corresponding to Diagnosis Coding (CodiEsp-D) and the other to Procedure Coding(CodiEsp-P).

Read more about MEDIA team at the CLEF-2020 MultilingualInformation Extraction Task

Language Technology for Language Communities: An Overview based on Basque Experience 2020

Read more about Language Technology for Language Communities: An Overview based on Basque Experience 2020

Automatic Classification of Medical Records with Multi-label Classifiers and Similarity Match Coders

Read more about Automatic Classification of Medical Records with Multi-label Classifiers and Similarity Match Coders

Extreme multi-label ICD classification: sensitivity to hospital service and time

Read more about Extreme multi-label ICD classification: sensitivity to hospital service and time

HapLap at eHealth-KD Challenge 2020

Read more about HapLap at eHealth-KD Challenge 2020

DOTT-HEALTH: Development Of Text-based Technology to support diagnosis, prevention and HEALTH institutions management

The combination of individual patient data and guidelines is conceptualized as clinical decision support systems. The increase in the adoption of Electronic Health Records (EHR) by healthcare systems results in a collection of massive healthcare data that practitioners, having a limited capability to deal with a big amount of information, are unable to process.

Read more about DOTT-HEALTH: Development Of Text-based Technology to support diagnosis, prevention and HEALTH institutions management

Extracting Cause of Death from Verbal Autopsy with Deep Learning interpretable methods

Read more about Extracting Cause of Death from Verbal Autopsy with Deep Learning interpretable methods

Neural negated entity recognition in Spanish electronic health records

Read more about Neural negated entity recognition in Spanish electronic health records

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Medikuntza arloko eta arlo juridikoko hizkuntzaren prozesamendua

Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages

Adverse Drug Reaction extraction: Tolerance to entity recognition errors and sub-domain variants

MEDIA team at the CLEF-2020 MultilingualInformation Extraction Task

Language Technology for Language Communities: An Overview based on Basque Experience 2020

Automatic Classification of Medical Records with Multi-label Classifiers and Similarity Match Coders

Extreme multi-label ICD classification: sensitivity to hospital service and time

HapLap at eHealth-KD Challenge 2020

DOTT-HEALTH: Development Of Text-based Technology to support diagnosis, prevention and HEALTH institutions management

Extracting Cause of Death from Verbal Autopsy with Deep Learning interpretable methods

Neural negated entity recognition in Spanish electronic health records

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