A5058065349- Computational Drug Discovery Methods
- Topic Modeling
- Biomedical Text Mining and Ontologies
- Sentiment Analysis and Opinion Mining
- Machine Learning in Materials Science
- Food Allergy and Anaphylaxis Research
- Atomic and Molecular Physics
- Treatment of Major Depression
- Genetic Associations and Epidemiology
- Advanced Text Analysis Techniques
- Data Quality and Management
- Pharmacovigilance and Adverse Drug Reactions
- Mental Health Research Topics
- Authorship Attribution and Profiling
- Natural Language Processing Techniques
- Laser-induced spectroscopy and plasma
- Text and Document Classification Technologies
- Pharmacogenetics and Drug Metabolism
- Analytical chemistry methods development
- Information Retrieval and Search Behavior
- Machine Learning in Healthcare
Universidad Carlos III de Madrid
2017-2024
Abstract Electronic health record (EHR) systems with prescription data offer vast potential in pharmacoepidemiology and pharmacogenomics. The large amount of clinical recorded these requires automatic processing to extract relevant information. This paper introduces PRESNER, a name entity recognition (NER) classification pipeline for EHR data. uses the pre-trained transformer Bio-ClinicalBERT fine-tuned on UK Biobank entries manually annotated medication-related information (drug name, route...
Abstract Major depressive disorder is a complex condition with diverse presentations and polygenic underpinnings. Leveraging large biobanks linked to primary care prescription data, we developed data-driven approach based on antidepressant trajectories for patient stratification novel phenotype identification. We extracted quantitative 56,951 UK Biobank (UKB) 64,609 Danish National (CHB+DBDS) individuals. Using Hidden Markov Models K-means clustering, identified five six clusters,...
<div>Sentiment analysis has become a very popular research topic and covers wide range of domains such as economy, politics health. In the pharmaceutical field, automated online user reviews provides information on effectiveness potential side effects drugs, which could be used to improve pharmacovigilance systems. Deep learning approaches have revolutionized field Natural Language Processing (NLP), achieving state-of-the-art results in many tasks, sentiment...
This paper describes the system presented by LABDA group at SemEval 2017 Task 10 ScienceIE, specifically for subtasks of identification and classification keyphrases from scientific articles. For task identification, we use BANNER tool, a named entity recognition system, which is based on conditional random fields (CRF) has obtained successful results in biomedical domain. To classify keyphrases, study UMLS semantic network propose possible linking between keyphrase types groups. Based this...
Leckrone et al. reported the presence of double-ionized thallium (Tl iii) in stellar atmosphere chemically peculiar star, χ Lupi, 1999. Two spectral lines at 1332.3 and 1558.6 Å were detected its spectrum. Here, we claim that there are ions need further study to make possible LTE abundance analysis once improved atomic data is available. In this sense, Tl iii included list requires data. To contribute solution problem, an parameters presented here. work, calculations transition probabilities...
En el analisis de sentimiento, la mayoria las investigaciones han sido llevadas a cabo en dominios generales tales como opiniones peliculas, restaurantes y otros productos o servicios, con escasa representacion ambito medico. Cada vez mas, los pacientes buscan informacion internet sobre posibles beneficios, efectos adversos que tiene diferentes farmacos. El objetivo este trabajo es predecir grado satisfaccion respecto un determinado farmaco base sus comentarios. Para llevar tarea, hemos...
<div>Sentiment analysis has become a very popular research topic and covers wide range of domains such as economy, politics health. In the pharmaceutical field, automated online user reviews provides information on effectiveness potential side effects drugs, which could be used to improve pharmacovigilance systems. Deep learning approaches have revolutionized field Natural Language Processing (NLP), achieving state-of-the-art results in many tasks, sentiment...