Abstract：
:Patient monitoring algorithms that analyze multiple features from physiological signals can produce an index that serves as a predictive or prognostic measure for a specific critical health event or physiological instability. Classical detection metrics such as sensitivity and positive predictive value are often used to evaluate new patient monitoring indices for such purposes, but since these metrics do not take into account the continuous nature of monitoring, the assessment of a warning system to notify a user of a critical health event remains incomplete. In this article, we present challenges of assessing the performance of new warning indices and propose a framework that provides a more complete characterization of warning index performance predicting a critical event that includes the timeliness of the warning. The framework considers 1) an assessment of the sensitivity to provide a notification within a meaningful time window, 2) the cumulative sensitivity leading up to an event, 3) characteristics on if the warning stays on until the event occurs once a warning has been activated, and 4) the distribution of warning times and the burden of additional warnings (e.g., false-alarm rate) throughout monitoring that may or may not be associated with the event of interest. Using an example from an experimental study of hemorrhage, we examine how this characterization can differentiate two warning systems in terms of timeliness of warnings and warning burden.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Scully CG,Daluwatte Cdoi
10.1016/j.jbi.2017.09.008subject
Has Abstractpub_date
2017-11-01 00:00:00pages
14-21eissn
1532-0464issn
1532-0480pii
S1532-0464(17)30205-8journal_volume
75pub_type
杂志文章abstract：BACKGROUND:Allowing patients to access their own electronic health record (EHR) notes through online patient portals has the potential to improve patient-centered care. However, EHR notes contain abundant medical jargon that can be difficult for patients to comprehend. One way to help patients is to reduce information ...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.02.016
更新日期：2017-04-01 00:00:00
abstract：:We have been investigating registration methods for improving digital subtraction angiography (DSA) images to extract blood vessels by reducing artifacts due to body motion, such as rotation, contraction, and dilation. In this paper, we propose a new and simple DSA registration algorithm with local distortion vectors ...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1006/jbin.2001.1018
更新日期：2001-06-01 00:00:00
abstract：:Social media has been identified as a promising potential source of information for pharmacovigilance. The adoption of social media data has been hindered by the massive and noisy nature of the data. Initial attempts to use social media data have relied on exact text matches to drugs of interest, and therefore suffer ...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2019.103307
更新日期：2019-11-01 00:00:00
abstract：:An open research question when leveraging ontological knowledge is when to treat different concepts separately from each other and when to aggregate them. For instance, concepts for the terms "paroxysmal cough" and "nocturnal cough" might be aggregated in a kidney disease study, but should be left separate in a pneumo...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2012.01.002
更新日期：2012-06-01 00:00:00
abstract：:Outbreaks of infectious diseases such as influenza are a significant threat to human health. Because there are different strains of influenza which can cause independent outbreaks, and influenza can affect demographic groups at different rates and times, there is a need to recognize and characterize multiple outbreaks...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.08.003
更新日期：2017-09-01 00:00:00
abstract：:Microarray data is a key source of experimental data for modelling gene regulatory interactions from expression levels. With the rapid increase of publicly available microarray data comes the opportunity to produce regulatory network models based on multiple datasets. Such models are potentially more robust with great...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章,meta分析
doi：10.1016/j.jbi.2008.01.011
更新日期：2008-12-01 00:00:00
abstract：:Clinical archetypes provide a means for health professionals to design what should be communicated as part of an Electronic Health Record (EHR). An ever-growing number of archetype definitions follow this health information modelling approach, and this international archetype resource will eventually cover a large num...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2011.12.001
更新日期：2012-06-01 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：:While the adoption of next generation sequencing has rapidly expanded, the informatics infrastructure used to manage the data generated by this technology has not kept pace. Historically, relational databases have provided much of the framework for data storage and retrieval. Newer technologies based on NoSQL architec...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2016.10.015
更新日期：2016-12-01 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：: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：BACKGROUND:Detailed Clinical Model (DCM) approaches have recently seen wider adoption. More specifically, openEHR-based application systems are now used in production in several countries, serving diverse fields of application such as health information exchange, clinical registries and electronic medical record system...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2016.08.007
更新日期：2016-10-01 00:00:00
abstract：BACKGROUND:Personal health information is a valuable resource to the advancement of research. In order to achieve a comprehensive reform of data infrastructure in Australia, both public engagement and building social trust is vital. In light of this, we conducted a study to explore the opinions, perceived risks and tru...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2019.103222
更新日期：2019-07-01 00:00:00
abstract：:CSIRO Adverse Drug Event Corpus (Cadec) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in colloquial language and often deviates from formal English grammar and punctuation...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2015.03.010
更新日期：2015-06-01 00:00:00
abstract：:Mereological relations such as part-of and its inverse has-part are fundamental to the description of the structure of living organisms. Whereas classical mereology focuses on individual entities, mereological relations in biomedical ontologies are generally asserted between classes of individuals. In general, this pr...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2005.11.003
更新日期：2006-06-01 00:00:00
abstract：:Computerized survival prediction in healthcare identifying the risk of disease mortality, helps healthcare providers to effectively manage their patients by providing appropriate treatment options. In this study, we propose to apply a classification algorithm, Contrast Pattern Aided Logistic Regression (CPXR(Log)) wit...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2016.01.009
更新日期：2016-04-01 00:00:00
abstract：:We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in death certificates, together with the associated autopsy reports and clinical bulletins, from the Portuguese Ministry of Health. We leverage a deep neural network that combines word embeddings, recurrent units, and neu...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2018.02.011
更新日期：2018-04-01 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：:Unnecessary antibiotic regimens in the intensive care unit (ICU) are associated with adverse patient outcomes and antimicrobial resistance. Bacterial infections (BI) are both common and deadly in ICUs, and as a result, patients with a suspected BI are routinely started on broad-spectrum antibiotics prior to having con...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2020.103540
更新日期：2020-09-01 00:00:00
abstract：:With the rise in chronic, behavior-related disease, computerized behavioral protocols (CBPs) that help individuals improve behaviors have the potential to play an increasing role in the future health of society. To be effective and widely used CBPs should be based on accepted behavioral theory. However, designing CBPs...
journal_title：Journal of biomedical informatics
pub_type： 临床试验,杂志文章
doi：10.1016/j.jbi.2004.12.001
更新日期：2005-08-01 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：:We have developed EpDis and MassPred, extendable open source software tools that support bioinformatic research and enable parallel use of different methods for the prediction of T cell epitopes, disorder and disordered binding regions and hydropathy calculation. These tools offer a semi-automated installation of chos...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2016.01.016
更新日期：2016-04-01 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：:The aim of this study is to explore the word sense disambiguation (WSD) problem across two biomedical domains-biomedical literature and clinical notes. A supervised machine learning technique was used for the WSD task. One of the challenges addressed is the creation of a suitable clinical corpus with manual sense anno...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2008.02.003
更新日期：2008-12-01 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：: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 is...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2009.04.003
更新日期：2009-10-01 00:00:00
abstract：:In this case study, we describe a method that has potential to provide systematic support for public health information management. Public health agencies depend on specialized information that travels throughout an organization via communication networks among employees. Interactions that occur within these networks ...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2006.09.004
更新日期：2007-08-01 00:00:00
abstract：:Causal inference often relies on the counterfactual framework, which requires that treatment assignment is independent of the outcome, known as strong ignorability. Approaches to enforcing strong ignorability in causal analyses of observational data include weighting and matching methods. Effect estimates, such as the...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2020.103515
更新日期：2020-09-01 00:00:00
abstract：OBJECTIVE:To outline new design directions for informatics solutions that facilitate personal discovery with self-monitoring data. We investigate this question in the context of chronic disease self-management with the focus on type 2 diabetes. MATERIALS AND METHODS:We conducted an observational qualitative study of d...
journal_title：Journal of biomedical informatics
pub_type： 杂志文章
doi：10.1016/j.jbi.2017.09.013
更新日期：2017-12-01 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
