RÉSUMÉ
Text mining has become an important research method in biology, with its original purpose to extract biological entities, such as genes, proteins and phenotypic traits, to extend knowledge from scientific papers. However, few thorough studies on text mining and application development, for plant molecular biology data, have been performed, especially for rice, resulting in a lack of datasets available to solve named-entity recognition tasks for this species. Since there are rare benchmarks available for rice, we faced various difficulties in exploiting advanced machine learning methods for accurate analysis of the rice literature. To evaluate several approaches to automatically extract information from gene/protein entities, we built a new dataset for rice as a benchmark. This dataset is composed of a set of titles and abstracts, extracted from scientific papers focusing on the rice species, and is downloaded from PubMed. During the 5th Biomedical Linked Annotation Hackathon, a portion of the dataset was uploaded to PubAnnotation for sharing. Our ultimate goal is to offer a shared task of rice gene/protein name recognition through the BioNLP Open Shared Tasks framework using the dataset, to facilitate an open comparison and evaluation of different approaches to the task.
Sujet(s)
Référenciation , Biologie , Fouille de données , Ensemble de données , Apprentissage machine , Méthodes , Biologie moléculaire , Traitement du langage naturel , Oryza , PlantesRÉSUMÉ
Subjects of this study were pregnant/nursing women aged from 15 to 49 years. Settings: 11 communes involved in Kim S¬n district (Ninh B×nh province), B×nh Lôc district (Hµ Nam province) and VÜnh B¶o district (H¶i Phßng City). 50 women were selected randomly from each commune. The results showed that there was difference between knowledge and practice in care and diet of pregnant women. All of subjects knew that they need to eat more during pregnant period, but in the fact they eat same or little than normal. There was not difference between concept and practice for restricted diet. Most of them knew that there is a relationship between pre-pregnant weight of mother and neonatal weight and improving the nutrition during pregnancy can help the fetus growing well.