Abstract：
:The major challenge in influenza vaccination is to predict vaccine efficacy. The purpose of this study was to design a model to enable successful prediction of the outcome of influenza vaccination based on real historical medical data. A non-linear neural network approach was used, and its performance compared to logistic regression. The three neural network algorithms were tested: multilayer perceptron, radial basis and probabilistic in conjunction with parameter optimization and regularization techniques in order to create an influenza vaccination model that could be used for prediction purposes in the medical practice of primary health care physicians, where the vaccine is usually dispensed. The selection of input variables was based on a model of the vaccine strain which has frequently been changed and on which a poor influenza vaccine response is expected. The performance of models was measured by the average hit rate of negative and positive vaccine outcome. In order to test the generalization ability of the models, a 10-fold cross-validation procedure revealed that the model obtained by multilayer perceptron produced the highest average hit rate among neural network algorithms, and also outperformed the logistic regression model with regard to sensitivity and specificity. Sensitivity analysis was performed on the best model and the importance of input variables was discussed. Further research should focus on improving the performance of the model by combining neural networks with other intelligent methods in this field.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Trtica-Majnaric L,Zekic-Susac M,Sarlija N,Vitale Bdoi
10.1016/j.jbi.2010.04.011subject
Has Abstractpub_date
2010-10-01 00:00:00pages
774-81issue
5eissn
1532-0464issn
1532-0480pii
S1532-0464(10)00058-4journal_volume
43pub_type
杂志文章abstract：:This paper proposes the all-IP WSNs (wireless sensor networks) for real-time patient monitoring. In this paper, the all-IP WSN architecture based on gateway trees is proposed and the hierarchical address structure is presented. Based on this architecture, the all-IP WSN can perform routing without route discovery. Mor...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2014.08.002
更新日期：2014-12-01 00:00:00
abstract：:Semantic-based sublanguage grammars have been shown to be an efficient method for medical language processing. However, given the complexity of the medical domain, parsers using such grammars inevitably encounter ambiguous sentences, which could be interpreted by different groups of production rules and consequently r...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2011.08.009
更新日期：2011-12-01 00:00:00
abstract：:Identifying the symptom clusters (two or more related symptoms) with shared underlying molecular mechanisms has been a vital analysis task to promote the symptom science and precision health. Related studies have applied the clustering algorithms (e.g. k-means, latent class model) to detect the symptom clusters mostly...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2020.103482
更新日期：2020-07-01 00:00:00
abstract：BACKGROUND:Knowledge Organization Systems (KOS) and their associated mappings play a central role in several decision support systems. However, by virtue of knowledge evolution, KOS entities are modified over time, impacting mappings and potentially turning them invalid. This requires semi-automatic methods to maintain...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.04.001
更新日期：2015-06-01 00:00:00
abstract：:We studied how lagged linear regression can be used to detect the physiologic effects of drugs from data in the electronic health record (EHR). We systematically examined the effect of methodological variations ((i) time series construction, (ii) temporal parameterization, (iii) intra-subject normalization, (iv) diffe...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.08.014
更新日期：2018-10-01 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：:Medical error is a leading cause of patient death in the United States. Among the different types of medical errors, harm to patients caused by doctors missing early signs of deterioration is especially challenging to address due to the heterogeneity of patients' physiological patterns. In this study, we implemented r...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2020.103425
更新日期：2020-07-01 00:00:00
abstract：:In absence of periodic systematic comparisons, biologists/bioinformaticians may be forced to make a subjective selection among the many protein-protein interaction (PPI) databases and tools. We conducted a comprehensive compilation and comparison of such resources. We compiled 375 PPI resources, short-listed 125 impor...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2020.103380
更新日期：2020-03-01 00:00:00
abstract：:Attention Deficit Hyperactive Disorder (ADHD) is one of the most common diseases in school aged children. In this paper, we consider using fMRI data with classification techniques to aid the diagnosis of ADHD and propose a bi-objective ADHD classification scheme based on L1-norm support vector machine (SVM). In our cl...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.07.011
更新日期：2018-08-01 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：:Stomach cancer is one of the leading causes of cancer-related deaths worldwide. More than 80% diagnosis of this cancer occur at later stages leading to low 5-year survival rate. This emphasizes the need to have better prognostic techniques for stomach cancer. In this regard, the Next-Generation Sequencing of whole gen...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2019.103254
更新日期：2019-09-01 00:00:00
abstract：:Anticancer drug-associated side effect knowledge often exists in multiple heterogeneous and complementary data sources. A comprehensive anticancer drug-side effect (drug-SE) relationship knowledge base is important for computation-based drug target discovery, drug toxicity predication and drug repositioning. In this s...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2014.10.002
更新日期：2015-02-01 00:00:00
abstract：:Modern biomedical research relies on the semantic integration of heterogeneous data sources to find data correlations. Researchers access multiple datasets of disparate origin, and identify elements-e.g. genes, compounds, pathways-that lead to interesting correlations. Normally, they must refer to additional public da...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2016.02.004
更新日期：2016-04-01 00:00:00
abstract：:The threat of bioterrorism has stimulated interest in enhancing public health surveillance to detect disease outbreaks more rapidly than is currently possible. To advance research on improving the timeliness of outbreak detection, the Defense Advanced Research Project Agency sponsored the Bio-event Advanced Leading In...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2004.11.007
更新日期：2005-04-01 00:00:00
abstract：:Data analytics is routinely used to support biomedical research in all areas, with particular focus on the most relevant clinical conditions, such as cancer. Bioinformatics approaches, in particular, have been used to characterize the molecular aspects of diseases. In recent years, numerous studies have been performed...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章,评审
doi：10.1016/j.jbi.2020.103466
更新日期：2020-07-01 00:00:00
abstract：:Clinical trials are typically conducted over a population within a defined time period in order to illuminate certain characteristics of a health issue or disease process. These cross-sectional studies give us a 'snapshot' of this disease process over a large number of people but do not allow us to model the temporal ...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2012.11.003
更新日期：2013-04-01 00:00:00
abstract：:The National Drug File - Reference Terminology (NDF-RT) is a large and complex drug terminology consisting of several classification hierarchies on top of an extensive collection of drug concepts. These hierarchies provide important information about clinical drugs, e.g., their chemical ingredients, mechanisms of acti...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.07.013
更新日期：2017-09-01 00:00:00
abstract：:Phylogeography is a field that focuses on the geographical lineages of species such as vertebrates or viruses. Here, geographical data, such as location of a species or viral host is as important as the sequence information extracted from the species. Together, this information can help illustrate the migration of the...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2011.06.005
更新日期：2011-12-01 00:00:00
abstract：BACKGROUND:Data collection and extraction from noisy text sources such as social media typically rely on keyword-based searching/listening. However, health-related terms are often misspelled in such noisy text sources due to their complex morphology, resulting in the exclusion of relevant data for studies. In this pape...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.11.007
更新日期：2018-12-01 00:00:00
abstract：STUDY OBJECTIVE:The goals of this investigation were to study the temporal relationships between the demands for key resources in the emergency department (ED) and the inpatient hospital, and to develop multivariate forecasting models. METHODS:Hourly data were collected from three diverse hospitals for the year 2006. ...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2008.05.003
更新日期：2009-02-01 00:00:00
abstract：BACKGROUND:One of the significant problems in the field of healthcare is the low survival rate of people who have experienced sudden cardiac arrest. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Traditional statistical methods hav...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.10.008
更新日期：2018-12-01 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：:Health data exchange is a major challenge due to the sensitive information and the privacy issues entailed. Considering the European context, in which health data must be exchanged between different European Union (EU) Member States, each having a different national regulatory framework as well as different national h...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2019.103183
更新日期：2019-06-01 00:00:00
abstract：INTRODUCTION:Most data extraction efforts in epidemiology are focused on obtaining targeted information from clinical trials. In contrast, limited research has been conducted on the identification of information from observational studies, a major source for human evidence in many fields, including environmental health...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章,评审
doi：10.1016/j.jbi.2017.04.004
更新日期：2017-06-01 00:00:00
abstract：:Previous research on standardization of eligibility criteria and its feasibility has traditionally been conducted on clinical trial protocols from ClinicalTrials.gov (CT). The portability and use of such standardization for full-text industry-standard protocols has not been studied in-depth. Towards this end, in this ...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2013.06.001
更新日期：2013-10-01 00:00:00
abstract：MOTIVATION:A challenge in microarray data analysis is to interpret observed changes in terms of biological properties and relationships. One powerful approach is to make associations of gene expression clusters with biomedical ontologies and/or biological pathways. However, this approach evaluates only one cluster at a...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2007.10.003
更新日期：2008-04-01 00:00:00
abstract：:The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the Office of the National Coordinator for Health Information Technology in 2010 supports research findings that remove barriers for increased adoption of health IT. The improvements envisioned by the SHARP Area 4 Consortium (SHARPn) wi...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2012.01.009
更新日期：2012-08-01 00:00:00
abstract：:The Guideline Interchange Format (GLIF) is a model for representation of sharable computer-interpretable guidelines. The current version of GLIF (GLIF3) is a substantial update and enhancement of the model since the previous version (GLIF2). GLIF3 enables encoding of a guideline at three levels: a conceptual flowchart...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2004.04.002
更新日期：2004-06-01 00:00:00
abstract：BACKGROUND:Word embeddings have been prevalently used in biomedical Natural Language Processing (NLP) applications due to the ability of the vector representations being able to capture useful semantic properties and linguistic relationships between words. Different textual resources (e.g., Wikipedia and biomedical lit...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.09.008
更新日期：2018-11-01 00:00:00
abstract：:The discovery of implicit connections between terms that do not occur together in any scientific document underlies the model of literature-based knowledge discovery first proposed by Swanson. Corpus-derived statistical models of semantic distance such as Latent Semantic Analysis (LSA) have been evaluated previously a...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2009.09.003
更新日期：2010-04-01 00:00:00
