mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients

Autor: Mathias De Brouwer, Nicolas Vandenbussche, Bram Steenwinckel, Marija Stojchevska, Jonas Van Der Donckt, Vic Degraeve, Jasper Vaneessen, Filip De Turck, Bruno Volckaert, Paul Boon, Koen Paemeleire, Sofie Van Hoecke, Femke Ongenae

Publikováno v: BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-34 (2022)

Abstract Background The diagnosis of headache disorders relies on the correct classification of individual headache attacks. Currently, this is mainly done by clinicians in a clinical setting, which is dependent on subjective self-reported input from

Externí odkaz: https://doaj.org/article/e397ed60da33409aaef73ef511766572

A Two-Stage Biomedical Event Trigger Detection Method Based on Hybrid Neural Network and Sentence Embeddings

Autor: Xinyu He, Yonggong Ren, Ping Tai, Hui Shi

Publikováno v: IEEE Access, Vol 9, Pp 81926-81935 (2021)

Biomedical event extraction is a challenging task in biomedical text mining, which plays an important role in improving biomedical research and disease prevention. As the crucial and prerequisite step in event extraction, biomedical trigger detection

Externí odkaz: https://doaj.org/article/431a572a093f4181ba6e6a03682ae4cc

EMPLOYING LONG SHORT-TERM MEMORY NETWORKS IN TRIGGER DETECTION FOR EMETOPHOBIA

Autor: Maria-Mădălina MIRCEA

Publikováno v: Studia Universitatis Babes-Bolyai: Series Informatica, Vol 65, Iss 2 (2020)

Research focused on mental health-related issues is vital to the modern person’s life. Specific phobias are part of the anxiety disorder umbrella and they are distressing afflictions. Emetophobia is the rarely known, yet fairly common and highly di

Externí odkaz: https://doaj.org/article/f11666ec494641fcbf4ad009c4198073

Fine-tuning Pre-trained Transformer Language Models for Biomedical Event Trigger Detection

Autor: Zanella, Laura, Toussaint, Yannick

Publikováno v: Atelier DL4NLP-Extraction et Gestion de Connaissances (EGC)
Atelier DL4NLP-Extraction et Gestion de Connaissances (EGC), Jan 2022, Blois, France, France

International audience; The detection of biomedical events plays an important role in building diverse applications in the biomedical domain, such as in disease prevention, pathway curation and epigenetics. Biomedical event trigger detection is a cri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::ddfa9dc21892d13917bbd694c1b1fd34
https://hal.science/hal-03984783/file/DL4NLP_EGC_22.pdf

Bidirectional long short-term memory with CRF for detecting biomedical event trigger in FastText semantic space

Autor: Lishuang Li, Shaowu Zhang, Xiwei Tang, Jian Wang, Yan Wang, Hongfei Lin

Publikováno v: BMC Bioinformatics, Vol 19, Iss S20, Pp 59-66 (2018)
BMC Bioinformatics

Background In biomedical information extraction, event extraction plays a crucial role. Biological events are used to describe the dynamic effects or relationships between biological entities such as proteins and genes. Event extraction is generally

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e4ddc299f2a5260af2f159230cb3db6
http://link.springer.com/article/10.1186/s12859-018-2543-1