Abstract:
:With a rapid progress in the field, a great many fMRI studies are published every year, to the extent that it is now becoming difficult for researchers to keep up with the literature, since reading papers is extremely time-consuming and labor-intensive. Thus, automatic information extraction has become an important issue. In this study, we used the Unified Medical Language System (UMLS) to construct a hierarchical concept-based dictionary of brain functions. To the best of our knowledge, this is the first generalized dictionary of this kind. We also developed an information extraction system for recognizing, mapping and classifying terms relevant to human brain study. The precision and recall of our system was on a par with that of human experts in term recognition, term mapping and term classification. Our approach presented in this paper presents an alternative to the more laborious, manual entry approach to information extraction.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Hsiao MY,Chen CC,Chen JHdoi
10.1016/j.jbi.2009.04.003subject
Has Abstractpub_date
2009-10-01 00:00:00pages
912-22issue
5eissn
1532-0464issn
1532-0480pii
S1532-0464(09)00054-9journal_volume
42pub_type
杂志文章abstract::Since the genome project in 1990s, a number of studies associated with genes have been conducted and researchers have confirmed that genes are involved in disease. For this reason, the identification of the relationships between diseases and genes is important in biology. We propose a method called LGscore, which iden...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2015.01.003
更新日期:2015-04-01 00:00:00
abstract::Evaluating automated indexing applications requires comparing automatically indexed terms against manual reference standard annotations. However, there are no standard guidelines for determining which words from a textual document to include in manual annotations, and the vague task can result in substantial variation...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2005.06.004
更新日期:2006-04-01 00:00:00
abstract:OBJECTIVE:Evaluate the quality of clinical order practice patterns machine-learned from clinician cohorts stratified by patient mortality outcomes. MATERIALS AND METHODS:Inpatient electronic health records from 2010 to 2013 were extracted from a tertiary academic hospital. Clinicians (n = 1822) were stratified into lo...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2018.09.005
更新日期:2018-10-01 00:00:00
abstract::The class of continuous time Bayesian network classifiers is defined; it solves the problem of supervised classification on multivariate trajectories evolving in continuous time. The trajectory consists of the values of discrete attributes that are measured in continuous time, while the predicted class is expected to ...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2012.07.002
更新日期:2012-12-01 00:00:00
abstract::One of the challenging problems in drug discovery is to identify the novel targets for drugs. Most of the traditional methods for drug targets optimization focused on identifying the particular families of "druggable targets", but ignored their topological properties based on the biological pathways. In this study, we...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2015.02.007
更新日期:2015-04-01 00:00:00
abstract::Gene selection is important for cancer classification based on gene expression data, because of high dimensionality and small sample size. In this paper, we present a new gene selection method based on clustering, in which dissimilarity measures are obtained through kernel functions. It searches for best weights of ge...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2016.05.007
更新日期:2016-08-01 00:00:00
abstract::The development of convenient serum bioassays for cancer screening, diagnosis, prognosis, and monitoring of treatment is one of top priorities in cancer research community. Although numerous biomarker candidates have been generated by applying high-throughput technologies such as transcriptomics, proteomics, and metab...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2011.08.010
更新日期:2011-12-01 00:00:00
abstract::With rapid adoption of Electronic Health Records (EHR) in China, an increasing amount of clinical data has been available to support clinical research. Clinical data secondary use usually requires de-identification of personal information to protect patient privacy. Since manually de-identification of free clinical te...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2017.07.017
更新日期:2017-09-01 00:00:00
abstract::As a result of recent advances in cancer research and "precision medicine" approaches, i.e. the idea of treating each patient with the right drug at the right time, more and more cancer patients are being cured, or might have to cope with a life with cancer. For many people, cancer survival today means living with a c...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2019.103342
更新日期:2020-01-01 00:00:00
abstract::This paper proposes a new framework for the selection of tag SNPs based on haplotypes instead of on a single SNP. The tag SNPs found by this framework form a set of haplotypes completely predictive of the alleles of all untyped SNPs. We refer to this problem as MTMH, which is defined as follows: given a set of SNPs, f...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2008.04.003
更新日期:2008-12-01 00:00:00
abstract::End-stage renal disease (ESRD) is the final stage of chronic kidney disease (CKD) and requires hemodialysis (HD) for survival. Intradialytic blood pressure (IBP) measurements are necessary to ensure patient safety during HD treatments and have critical clinical and prognostic significance. Studies on IBP measurements,...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2018.05.013
更新日期:2018-07-01 00:00:00
abstract:OBJECTIVE:The goal of this study is to investigate entity recognition within Electronic Health Records (EHRs) focusing on Spanish and Swedish. Of particular importance is a robust representation of the entities. In our case, we utilized unsupervised methods to generate such representations. METHODS:The significance of...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2017.05.009
更新日期:2017-07-01 00:00:00
abstract:OBJECTIVE:To create an interoperable set of nursing diagnoses for use in the patient problem list in the EHR to support interoperability. DESIGN:Queries for nursing diagnostic concepts were executed against the UMLS Metathesaurus to retrieve all nursing diagnoses across four nursing terminologies where the concept was...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2011.12.003
更新日期:2012-08-01 00:00:00
abstract::The Breast Imaging Reporting and Data System (BI-RADS) was developed to reduce variation in the descriptions of findings. Manual analysis of breast radiology report data is challenging but is necessary for clinical and healthcare quality assurance activities. The objective of this study is to develop a natural languag...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2017.04.011
更新日期:2017-05-01 00:00:00
abstract:MOTIVATION:PubMed is the most widely used database of biomedical literature. To the detriment of the user though, the ranking of the documents retrieved for a query is not content-based, and important semantic information in the form of assigned Medical Subject Headings (MeSH) terms is not readily presented or producti...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2011.05.009
更新日期:2011-12-01 00:00:00
abstract::Federal funds have supported Nurse Practitioner (NP) education and the establishment of nurse-managed centers. Yet, important questions are raised about the quality and appropriate scope of NP care. Few NP-patient encounters are documented in the largest national surveys of ambulatory care, sponsored by the National C...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2003.09.016
更新日期:2003-08-01 00:00:00
abstract::In this paper we discuss the design and development of TRAK (Taxonomy for RehAbilitation of Knee conditions), an ontology that formally models information relevant for the rehabilitation of knee conditions. TRAK provides the framework that can be used to collect coded data in sufficient detail to support epidemiologic...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2013.04.009
更新日期:2013-08-01 00:00:00
abstract::Electronic health records (EHR) are a major source of information in biomedical informatics. Yet, missing values are prominent characteristics of EHR. Prediction on dataset with missing values results in inaccurate inferences. Nearest neighbour imputation based on lazy learning approach is a proven technique for missi...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2019.103190
更新日期:2019-06-01 00:00:00
abstract::The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, Cardiac Artery Disease) in clinical narratives. For this track, we used a "light" annotation paradigm to annotate a set of 1304 longitudinal medical records describing 29...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2015.05.009
更新日期:2015-12-01 00:00:00
abstract::Warfarin is an effective preventative treatment for arterial and venous thromboembolism, but requires individualised dosing due to its narrow therapeutic range and high individual variation. Many machine learning techniques have been demonstrated in this domain. This study evaluated the accuracy of the most promising ...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2020.103634
更新日期:2021-01-01 00:00:00
abstract::We propose a model-driven methodology aimed to shed light on complex disorders. Our approach enables exploring shared etiologies of comorbid diseases at the molecular pathway level. The method, Comparative Comorbidities Simulation (CCS), uses stochastic Petri net simulation for examining the phenotypic effects of pert...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2016.08.008
更新日期:2016-10-01 00:00:00
abstract::The accurate diagnosis of heart failure in emergency room patients is quite important, but can also be quite difficult due to our insufficient understanding of the characteristics of heart failure. The purpose of this study is to design a decision-making model that provides critical factors and knowledge associated wi...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2012.04.013
更新日期:2012-10-01 00:00:00
abstract:OBJECTIVE:To investigate whether SNOMED CT covers the terms used in pre-operative assessment guidelines, and if necessary, how the measured content coverage can be improved. METHODS:Pre-operative assessment guidelines were retrieved from the websites of (inter)national anesthesia-related societies. The recommendations...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2010.07.009
更新日期:2010-12-01 00:00:00
abstract::Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study employs text categorization techniques for the classification of open narrative forensic autopsy reports. One of the key steps in text classification is document representation. In document representation,...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2018.04.013
更新日期:2018-06-01 00:00:00
abstract::Large-scale mapping efforts have been done in attempts to migrate systems that use proprietary concepts to ones that use terminological standards such as SNOMED CT. As efforts move towards implementation, the target maps should retain a predictable structure including those targets requiring post-coordination of SNOME...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2009.03.004
更新日期:2009-06-01 00:00:00
abstract::Linkage analysis uses information from family pedigrees to map genes and locate disease genes on particular chromosomes. A recombination fraction denoted as theta is estimated as a measure of crossing over between two loci. Genetic linkage calculations are very time-consuming particularly for large family pedigrees, a...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1006/jbin.2002.1031
更新日期:2001-12-01 00:00:00
abstract::Automated software for cancer registration, called Open Registry and developed by ourselves was adopted by the Varese (population-based) Cancer Registry starting from 1997. Since the use of automated cancer registration is increasing, it is important to assess the quality and completeness of the automated data being p...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2007.03.003
更新日期:2008-02-01 00:00:00
abstract::In this study, we proposed a new medical diagnosis system based on principal component analysis (PCA), k-NN based weighting pre-processing, and Artificial Immune Recognition System (AIRS) for diagnosis of atherosclerosis from Carotid Artery Doppler Signals. The suggested system consists of four stages. First, in the f...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2007.04.001
更新日期:2008-02-01 00:00:00
abstract::Clinical pathways are used to guide clinicians to provide a standardised delivery of care. Because of their standardisation, the aim of clinical pathways is to reduce variation in both care process and patient outcomes. When learning clinical pathways from data through data mining, it is common practice to represent e...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2020.103668
更新日期:2021-01-27 00:00:00
abstract::Gene selection is an important task in bioinformatics studies, because the accuracy of cancer classification generally depends upon the genes that have biological relevance to the classifying problems. In this work, randomization test (RT) is used as a gene selection method for dealing with gene expression data. In th...
journal_title:Journal of biomedical informatics
pub_type: 杂志文章
doi:10.1016/j.jbi.2013.03.009
更新日期:2013-08-01 00:00:00