DIVERSIFYING BIOMEDICAL TRAINING: A SYNERGISTIC INTERVENTION
نویسندگان
چکیده
منابع مشابه
A Qualitative Needs Assessment of Biomedical Research Training Course
Introduction: The expansion and development of biomedical sciences and their complexity and specialization have brought about the need for training competent specialists to carry out research in this field. The present study aimed to perform a needs assessment and determine the objectives of biomedical research training course. Methods: This qualitative needs assessment was carried out through...
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Diffusion is a social process that occurs among people in response to learning about an innovation such as a new evidence-based intervention. Researchers have conceptualized diffusion either at the macro-sociologic level of societal sector or systemand the importance of norms and associations, the communicaive level of relationships and how those patterned linkges affect adoption over time, or ...
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Parser self-training is the technique of taking an existing parser, parsing extra data and then creating a second parser by treating the extra data as further training data. Here we apply this technique to parser adaptation. In particular, we self-train the standard Charniak/Johnson Penn-Treebank parser using unlabeled biomedical abstracts. This achieves an f -score of 84.3% on a standard test ...
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Viruses, bacteria, eukaryotic parasites, cancer cells, agricultural pests and other inconvenient animates have an unfortunate tendency to escape from selection pressures that are meant to control them. Chemotherapy, anti-viral drugs or antibiotics fail because their targets do not hold still, but evolve resistance. A major problem in developing vaccines is that microbes evolve and escape from i...
متن کاملSelf-training and co-training in biomedical word sense disambiguation
Word sense disambiguation (WSD) is an intermediate task within information retrieval and information extraction, attempting to select the proper sense of ambiguous words. Due to the scarcity of training data, semi-supervised learning, which profits from seed annotated examples and a large set of unlabeled data, are worth researching. We present preliminary results of two semi-supervised learnin...
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ژورنال
عنوان ژورنال: Journal of Women and Minorities in Science and Engineering
سال: 2010
ISSN: 1072-8325
DOI: 10.1615/jwomenminorscieneng.v16.i3.20