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期刊名:Journal of biomedical semantics

缩写:J BIOMED SEMANT

ISSN:2041-1480

e-ISSN:2041-1480

IF/分区:2.6/Q2

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共收录本刊相关文章索引569
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Kody Moodley,Linda Rieswijk,Tudor I Oprea et al. Kody Moodley et al.
Accurate and precise information about the therapeutic uses (indications) of a drug is essential for applications in drug repurposing and precision medicine. Leading online drug resources such as DrugCentral and DrugBank provide rich inform...
Nicholas Charles Nicholson,Francesco Giusti,Manola Bettio et al. Nicholas Charles Nicholson et al.
Background: Population-based cancer registries constitute an important information source in cancer epidemiology. Studies collating and comparing data across regional and national boundaries have proved important for depl...
Alexandr Uciteli,Christoph Beger,Toralf Kirsten et al. Alexandr Uciteli et al.
Background: The successful determination and analysis of phenotypes plays a key role in the diagnostic process, the evaluation of risk factors and the recruitment of participants for clinical and epidemiological studies. ...
Martijn G Kersloot,Florentien J P van Putten,Ameen Abu-Hanna et al. Martijn G Kersloot et al.
Background: Free-text descriptions in electronic health records (EHRs) can be of interest for clinical research and care optimization. However, free text cannot be readily interpreted by a computer and, therefore, has lim...
Qian Zhu,Dac-Trung Nguyen,Ivan Grishagin et al. Qian Zhu et al.
Background: The Genetic and Rare Diseases (GARD) Information Center was established by the National Institutes of Health (NIH) to provide freely accessible consumer health information on over 6500 genetic and rare disease...
Patricio Wolff,Sebastián Ríos,David Clavijo et al. Patricio Wolff et al.
Background: Medical knowledge is accumulated in scientific research papers along time. In order to exploit this knowledge by automated systems, there is a growing interest in developing text mining methodologies to extrac...
Kohei Kajiyama,Hiromasa Horiguchi,Takashi Okumura et al. Kohei Kajiyama et al.
Background: Recently, more electronic data sources are becoming available in the healthcare domain. Electronic health records (EHRs), with their vast amounts of potentially available data, can greatly improve healthcare. ...
Hans Moen,Kai Hakala,Laura-Maria Peltonen et al. Hans Moen et al.
Background: Up to 35% of nurses' working time is spent on care documentation. We describe the evaluation of a system aimed at assisting nurses in documenting patient care and potentially reducing the documentation workloa...
William D Duncan,Thankam Thyvalikakath,Melissa Haendel et al. William D Duncan et al.
Background: A key challenge for improving the quality of health care is to be able to use a common framework to work with patient information acquired in any of the health and life science disciplines. Patient information...
Wytze J Vlietstra,Rein Vos,Marjan van den Akker et al. Wytze J Vlietstra et al.
Background: Knowledge graphs can represent the contents of biomedical literature and databases as subject-predicate-object triples, thereby enabling comprehensive analyses that identify e.g. relationships between diseases...