MorphoCol: An ontology-based knowledgebase for the characterisation of clinically significant bacterial colony morphologies.

Abstract:

BACKGROUND:One of the major concerns of the biomedical community is the increasing prevalence of antimicrobial resistant microorganisms. Recent findings show that the diversification of colony morphology may be indicative of the expression of virulence factors and increased resistance to antibiotic therapeutics. To transform these findings, and upcoming results, into a valuable clinical decision making tool, colony morphology characterisation should be standardised. Notably, it is important to establish the minimum experimental information necessary to contextualise the environment that originated the colony morphology, and describe the main morphological features associated unambiguously. RESULTS:This paper presents MorphoCol, a new ontology-based tool for the standardised, consistent and machine-interpretable description of the morphology of colonies formed by human pathogenic bacteria. The Colony Morphology Ontology (CMO) is the first controlled vocabulary addressing the specificities of the morphology of clinically significant bacteria, whereas the MorphoCol publicly Web-accessible knowledgebase is an end-user means to search and compare CMO annotated colony morphotypes. Its ultimate aim is to help correlate the morphological alterations manifested by colony-forming bacteria during infection with their response to the antimicrobial treatments administered. CONCLUSIONS:MorphoCol is the first tool to address bacterial colony morphotyping systematically and deliver a free of charge resource to the community. Hopefully, it may introduce interesting features of analysis on pathogenic behaviour and play a significant role in clinical decision making. DATABASE URL:http://morphocol.org.

journal_name

J Biomed Inform

authors

Sousa AM,Pereira MO,Lourenço A

doi

10.1016/j.jbi.2015.03.007

subject

Has Abstract

pub_date

2015-06-01 00:00:00

pages

55-63

eissn

1532-0464

issn

1532-0480

pii

S1532-0464(15)00050-7

journal_volume

55

pub_type

杂志文章
  • Leveraging concept-based approaches to identify potential phyto-therapies.

    abstract::The potential of plant-based remedies has been documented in both traditional and contemporary biomedical literature. Such types of text sources may thus be sources from which one might identify potential plant-based therapies ("phyto-therapies"). Concept-based analytic approaches have been shown to uncover knowledge ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2013.04.008

    authors: Sharma V,Sarkar IN

    更新日期:2013-08-01 00:00:00

  • Predicting changes in systolic blood pressure using longitudinal patient records.

    abstract:OBJECTIVE:This paper introduces a model that predicts future changes in systolic blood pressure (SBP) based on structured and unstructured (text-based) information from longitudinal clinical records. METHOD:For each patient, the clinical records are sorted in chronological order and SBP measurements are extracted from...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2015.06.024

    authors: Solomon JW,Nielsen RD

    更新日期:2015-12-01 00:00:00

  • All-IP wireless sensor networks for real-time patient monitoring.

    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

    authors: Wang X,Le D,Cheng H,Xie C

    更新日期:2014-12-01 00:00:00

  • Combining automatic table classification and relationship extraction in extracting anticancer drug-side effect pairs from full-text articles.

    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

    authors: Xu R,Wang Q

    更新日期:2015-02-01 00:00:00

  • Medical diagnosis of atherosclerosis from Carotid Artery Doppler Signals using principal component analysis (PCA), k-NN based weighting pre-processing and Artificial Immune Recognition System (AIRS).

    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

    authors: Latifoğlu F,Polat K,Kara S,Güneş S

    更新日期:2008-02-01 00:00:00

  • Patient similarity for precision medicine: A systematic review.

    abstract::Evidence-based medicine is the most prevalent paradigm adopted by physicians. Clinical practice guidelines typically define a set of recommendations together with eligibility criteria that restrict their applicability to a specific group of patients. The ever-growing size and availability of health-related data is cur...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2018.06.001

    authors: Parimbelli E,Marini S,Sacchi L,Bellazzi R

    更新日期:2018-07-01 00:00:00

  • Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization.

    abstract:OBJECTIVE:Our aim is to extract clinically-meaningful phenotypes from longitudinal electronic health records (EHRs) of medically-complex children. This is a fragile set of patients consuming a disproportionate amount of pediatric care resources but who often end up with sub-optimal clinical outcome. The rise in availab...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103125

    authors: Perros I,Papalexakis EE,Vuduc R,Searles E,Sun J

    更新日期:2019-05-01 00:00:00

  • Understanding infusion administration in the ICU through Distributed Cognition.

    abstract::To understand how healthcare technologies are used in practice and evaluate them, researchers have argued for adopting the theoretical framework of Distributed Cognition (DC). This paper describes the methods and results of a study in which a DC methodology, Distributed Cognition for Teamwork (DiCoT), was applied to s...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2012.02.003

    authors: Rajkomar A,Blandford A

    更新日期:2012-06-01 00:00:00

  • An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.

    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

    authors: Wang JK,Hom J,Balasubramanian S,Schuler A,Shah NH,Goldstein MK,Baiocchi MTM,Chen JH

    更新日期:2018-10-01 00:00:00

  • TEMPTING system: a hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries.

    abstract::Patient discharge summaries provide detailed medical information about individuals who have been hospitalized. To make a precise and legitimate assessment of the abundant data, a proper time layout of the sequence of relevant events should be compiled and used to drive a patient-specific timeline, which could further ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2013.09.007

    authors: Chang YC,Dai HJ,Wu JC,Chen JM,Tsai RT,Hsu WL

    更新日期:2013-12-01 00:00:00

  • Serum cancer biomarker discovery through analysis of gene expression data sets across multiple tumor and normal tissues.

    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

    authors: Jin H,Lee HC,Park SS,Jeong YS,Kim SY

    更新日期:2011-12-01 00:00:00

  • An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling.

    abstract::With recent advances in fluorescence microscopy imaging techniques and methods of gene knock down by RNA interference (RNAi), genome-scale high-content screening (HCS) has emerged as a powerful approach to systematically identify all parts of complex biological processes. However, a critical barrier preventing fulfill...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2008.04.007

    authors: Wang J,Zhou X,Li F,Bradley PL,Chang SF,Perrimon N,Wong ST

    更新日期:2009-02-01 00:00:00

  • A term extraction tool for expanding content in the domain of functioning, disability, and health: proof of concept.

    abstract::Among the challenges in developing terminology systems is providing complete content coverage of specialized subject fields. This paper reports on a term extraction tool designed for the development and expansion of terminology systems concerned with functioning, disability, and health. Content relevant to this domain...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2003.09.005

    authors: Harris MR,Savova GK,Johnson TM,Chute CG

    更新日期:2003-08-01 00:00:00

  • MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records.

    abstract:OBJECTIVES:Major adverse cardiac events (MACE) of acute coronary syndrome (ACS) often occur suddenly resulting in high mortality and morbidity. Recently, the rapid development of electronic medical records (EMR) provides the opportunity to utilize the potential of EMR to improve the performance of MACE prediction. In t...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2017.01.001

    authors: Huang Z,Chan TM,Dong W

    更新日期:2017-02-01 00:00:00

  • Evaluation of a rule-based method for epidemiological document classification towards the automation of systematic reviews.

    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

    authors: Karystianis G,Thayer K,Wolfe M,Tsafnat G

    更新日期:2017-06-01 00:00:00

  • A pilot study of a heuristic algorithm for novel template identification from VA electronic medical record text.

    abstract:RATIONALE:Templates in text notes pose challenges for automated information extraction algorithms. We propose a method that identifies novel templates in plain text medical notes. The identification can then be used to either include or exclude templates when processing notes for information extraction. METHODS:The tw...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2016.07.019

    authors: Redd AM,Gundlapalli AV,Divita G,Carter ME,Tran LT,Samore MH

    更新日期:2017-07-01 00:00:00

  • Modeling nurse-patient assignments considering patient acuity and travel distance metrics.

    abstract::Balancing workload among nurses on a hospital unit is important for the satisfaction and safety of nurses and patients. To balance nurse workloads, direct patient care activities, indirect patient care activities, and non-patient care activities that occur throughout a shift must be considered. The layout of a hospita...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2016.10.006

    authors: Acar I,Butt SE

    更新日期:2016-12-01 00:00:00

  • Impact of an electronic handoff documentation tool on team shared mental models in pediatric critical care.

    abstract:OBJECTIVE:To examine the impact of the implementation of an electronic handoff tool (the Handoff Tool) on shared mental models (SMM) within patient care teams as measured by content overlap and discrepancies in verbal handoff presentations given by different clinicians caring for the same patient. MATERIALS AND METHOD...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2017.03.004

    authors: Jiang SY,Murphy A,Heitkemper EM,Hum RS,Kaufman DR,Mamykina L

    更新日期:2017-05-01 00:00:00

  • Classification models for the prediction of clinicians' information needs.

    abstract:OBJECTIVE:Clinicians face numerous information needs during patient care activities and most of these needs are not met. Infobuttons are information retrieval tools that help clinicians to fulfill their information needs by providing links to on-line health information resources from within an electronic medical record...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2008.07.001

    authors: Del Fiol G,Haug PJ

    更新日期:2009-02-01 00:00:00

  • A method and software framework for enriching private biomedical sources with data from public online repositories.

    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

    authors: Anguita A,García-Remesal M,Graf N,Maojo V

    更新日期:2016-04-01 00:00:00

  • Mapping high-dimensional data onto a relative distance plane--an exact method for visualizing and characterizing high-dimensional patterns.

    abstract::We introduce a distance (similarity)-based mapping for the visualization of high-dimensional patterns and their relative relationships. The mapping preserves exactly the original distances between points with respect to any two reference patterns in a special two-dimensional coordinate system, the relative distance pl...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2004.07.005

    authors: Somorjai RL,Dolenko B,Demko A,Mandelzweig M,Nikulin AE,Baumgartner R,Pizzi NJ

    更新日期:2004-10-01 00:00:00

  • Game-based interventions for neuropsychological assessment, training and rehabilitation: Which game-elements to use? A systematic review.

    abstract::Game-based interventions (GBI) have been used to promote health-related outcomes, including cognitive functions. Criteria for game-elements (GE) selection are insufficiently characterized in terms of their adequacy to patients' clinical conditions or targeted cognitive outcomes. This study aimed to identify GE applied...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103287

    authors: Ferreira-Brito F,Fialho M,Virgolino A,Neves I,Miranda AC,Sousa-Santos N,Caneiras C,Carriço L,Verdelho A,Santos O

    更新日期:2019-10-01 00:00:00

  • RedMed: Extending drug lexicons for social media applications.

    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

    authors: Lavertu A,Altman RB

    更新日期:2019-11-01 00:00:00

  • Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults.

    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

    authors: Eickelberg G,Sanchez-Pinto LN,Luo Y

    更新日期:2020-09-01 00:00:00

  • TRAK ontology: defining standard care for the rehabilitation of knee conditions.

    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

    authors: Button K,van Deursen RW,Soldatova L,Spasić I

    更新日期:2013-08-01 00:00:00

  • Unsupervised low-dimensional vector representations for words, phrases and text that are transparent, scalable, and produce similarity metrics that are not redundant with neural embeddings.

    abstract::Neural embeddings are a popular set of methods for representing words, phrases or text as a low dimensional vector (typically 50-500 dimensions). However, it is difficult to interpret these dimensions in a meaningful manner, and creating neural embeddings requires extensive training and tuning of multiple parameters a...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2019.103096

    authors: Smalheiser NR,Cohen AM,Bonifield G

    更新日期:2019-02-01 00:00:00

  • Systematic comparison of the protein-protein interaction databases from a user's perspective.

    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

    authors: Bajpai AK,Davuluri S,Tiwary K,Narayanan S,Oguru S,Basavaraju K,Dayalan D,Thirumurugan K,Acharya KK

    更新日期:2020-03-01 00:00:00

  • Classification of ADHD with bi-objective optimization.

    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

    authors: Shao L,Xu Y,Fu D

    更新日期:2018-08-01 00:00:00

  • Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision.

    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

    authors: Lee DH,Yetisgen M,Vanderwende L,Horvitz E

    更新日期:2020-07-01 00:00:00

  • Introducing RFID technology in dynamic and time-critical medical settings: requirements and challenges.

    abstract::We describe the process of introducing RFID technology in the trauma bay of a trauma center to support fast-paced and complex teamwork during resuscitation. We analyzed trauma resuscitation tasks, photographs of medical tools, and videos of simulated resuscitations to gain insight into resuscitation tasks, work practi...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2012.04.003

    authors: Parlak S,Sarcevic A,Marsic I,Burd RS

    更新日期:2012-10-01 00:00:00