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1,411 to 1,420 of 1,438 Results
Jan 26, 2023 - Universidad Autónoma de Madrid
Mediavilla, Roberto, 2023, "RESPOND-HCWs - Mental health outcomes", https://doi.org/10.21950/HN1HNO, e-cienciaDatos, V2
RESPOND is an EU funded research project running from 2020 to 2023. The project aims to identify which groups are most at risk for adverse mental health effects due to the COVID-19 pandemic, as well as to understand what determines that risk. In Spain, we conducted a randomised controlled trial among healthcare workers (HCWs) with psychological dis...
Texto plano - 3,7 KB - MD5: 9dcc1bddf8f1f0f7a00d3e4de772f935
DocumentaciónDocumentation
Codebook of the RESPOND-HCWs anonymised dataset
Texto plano - 4,6 KB - MD5: 5ef698a78d13abbd9b86ec3bd6889241
DocumentaciónDocumentation
application/mac-compactpro - 157,9 KB - MD5: 2ac1ed70ab579feff2d8335f2dda87b4
DataDatos
ENCRYPTED FILE. Send a message to joseluis.ayuso@uam.es in order to obtain the password wich decrypts the file
Archivo ZIP - 2,5 MB - MD5: 5c0a3c52427c67eb62804a489590a90f
DataDatos
Compressed file of the corpus documents: text files (.txt), annotations in BRAT format (.ann) and BRAT configuration files (annotation.conf, visual.conf)
Desconocido - 24,2 MB - MD5: 5ae92ab4dd8b75d3a577bee2b76fa1f1
DataDatos
Binary file (and larger in size), to be used for the character n-grams information
Desconocido - 56,3 MB - MD5: 815e0176d2f3f2b9062683ef14239725
DataDatos
Non-binary file containing the vector values and dimensions for each token
Desconocido - 38,1 MB - MD5: 7eeef55f7dc9b0900b338c7f23963591
DataDatos
This file can be loaded to the Gensim library
Texto plano - 11,5 KB - MD5: 7f40cef7cb5f3508de42b532e9e410cc
DocumentaciónDocumentation
Mar 11, 2022 - Universidad Autónoma de Madrid
Campillos-Llanos, Leonardo; Capllonch-Carrión, Adrián; Valverde-Mateos, Ana; Moreno-Sandoval, Antonio, 2022, "Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) Corpus and word-embeddings", https://doi.org/10.21950/1YCBDV, e-cienciaDatos, V1
The NLPMedTerm project aims at providing the research community with resources for natural language processing (NLP) in the health domain for Spanish. A Work Package of the project is a corpus texts annotated with medical entities as a resource for experiments in Named Entity Recognition. The corpus is aimed at training machine-learning models inco...
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