Inductive creation of an annotation schema for manually indexing clinical conditions from emergency department reports.

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 among manual indexers. We applied grounded theory to emergency department reports to create an annotation schema representing syntactic and semantic variables that could be annotated when indexing clinical conditions. We describe the annotation schema, which includes variables representing medical concepts (e.g., symptom, demographics), linguistic form (e.g., noun, adjective), and modifier types (e.g., anatomic location, severity). We measured the schema's quality and found: (1) the schema was comprehensive enough to be applied to 20 unseen reports without changes to the schema; (2) agreement between author annotators applying the schema was high, with an F measure of 93%; and (3) the authors made complementary errors when applying the schema, demonstrating that the schema incorporates both linguistic and medical expertise.

journal_name

J Biomed Inform

authors

Chapman WW,Dowling JN

doi

10.1016/j.jbi.2005.06.004

keywords:

subject

Has Abstract

pub_date

2006-04-01 00:00:00

pages

196-208

issue

2

eissn

1532-0464

issn

1532-0480

pii

S1532-0464(05)00070-5

journal_volume

39

pub_type

杂志文章
  • Development of the nursing problem list subset of SNOMED CT®.

    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

    authors: Matney SA,Warren JJ,Evans JL,Kim TY,Coenen A,Auld VA

    更新日期:2012-08-01 00:00:00

  • Developing, implementing, and evaluating decision support systems for shared decision making in patient care: a conceptual model and case illustration.

    abstract::The importance of including patient preferences in decisions regarding their care has received increased emphasis over recent years. Medical informatics can play an important role in improving patient-centered care by developing decision support systems to support the inclusion of patient preferences in clinical decis...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/s1532-0464(03)00037-6

    authors: Ruland CM,Bakken S

    更新日期:2002-10-01 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

  • Spectral-dynamic representation of DNA sequences.

    abstract::A graphical representation of DNA sequences in which the distribution of a particular base B=A,C,G,T is represented by a set of discrete lines has been formulated. The methodology of this approach has been borrowed from two areas of physics: spectroscopy and dynamics. Consequently, the set of discrete lines is referre...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2017.06.001

    authors: Bielińska-Wąż D,Wąż P

    更新日期:2017-08-01 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

  • A hybrid of whale optimization and late acceptance hill climbing based imputation to enhance classification performance in electronic health records.

    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

    authors: Nagarajan G,Dhinesh Babu LD

    更新日期:2019-06-01 00:00:00

  • Personal health information in research: Perceived risk, trustworthiness and opinions from patients attending a tertiary healthcare facility.

    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

    authors: Krahe M,Milligan E,Reilly S

    更新日期:2019-07-01 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

  • Visual aggregate analysis of eligibility features of clinical trials.

    abstract:OBJECTIVE:To develop a method for profiling the collective populations targeted for recruitment by multiple clinical studies addressing the same medical condition using one eligibility feature each time. METHODS:Using a previously published database COMPACT as the backend, we designed a scalable method for visual aggr...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2015.01.005

    authors: He Z,Carini S,Sim I,Weng C

    更新日期:2015-04-01 00:00:00

  • Creating hospital-specific customized clinical pathways by applying semantic reasoning to clinical data.

    abstract:OBJECTIVE:Clinical pathways (CPs) are widely studied methods to standardize clinical intervention and improve medical quality. However, standard care plans defined in current CPs are too general to execute in a practical healthcare environment. The purpose of this study was to create hospital-specific personalized CPs ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2014.07.017

    authors: Wang HQ,Zhou TS,Tian LL,Qian YM,Li JS

    更新日期:2014-12-01 00:00:00

  • Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.

    abstract::We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) systems that generate structured information from unstructured free text. Seven literature databases were searched with a query combining the...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章,评审

    doi:10.1016/j.jbi.2017.07.012

    authors: Kreimeyer K,Foster M,Pandey A,Arya N,Halford G,Jones SF,Forshee R,Walderhaug M,Botsis T

    更新日期:2017-09-01 00:00:00

  • Knowledge-based personalized search engine for the Web-based Human Musculoskeletal System Resources (HMSR) in biomechanics.

    abstract::Human musculoskeletal system resources of the human body are valuable for the learning and medical purposes. Internet-based information from conventional search engines such as Google or Yahoo cannot response to the need of useful, accurate, reliable and good-quality human musculoskeletal resources related to medical ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2012.11.001

    authors: Dao TT,Hoang TN,Ta XH,Tho MC

    更新日期:2013-02-01 00:00:00

  • A hybrid knowledge-based and data-driven approach to identifying semantically similar concepts.

    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

    authors: Pivovarov R,Elhadad N

    更新日期:2012-06-01 00:00:00

  • Interacting agents through a web-based health serviceflow management system.

    abstract::The management of chronic and out-patients is a complex process which requires the cooperation of different agents belonging to several organizational units. Patients have to move to different locations to access the necessary services and to communicate their health status data. From their point of view there should ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2006.12.002

    authors: Leonardi G,Panzarasa S,Quaglini S,Stefanelli M,van der Aalst WM

    更新日期:2007-10-01 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

  • A comparison of machine learning methods for the diagnosis of pigmented skin lesions.

    abstract::We analyze the discriminatory power of k-nearest neighbors, logistic regression, artificial neural networks (ANNs), decision tress, and support vector machines (SVMs) on the task of classifying pigmented skin lesions as common nevi, dysplastic nevi, or melanoma. Three different classification tasks were used as benchm...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1006/jbin.2001.1004

    authors: Dreiseitl S,Ohno-Machado L,Kittler H,Vinterbo S,Billhardt H,Binder M

    更新日期:2001-02-01 00:00:00

  • Health information technology adoption: Understanding research protocols and outcome measurements for IT interventions in health care.

    abstract:OBJECTIVE:To classify and characterize the variables commonly used to measure the impact of Information Technology (IT) adoption in health care, as well as settings and IT interventions tested, and to guide future research. MATERIALS AND METHODS:We conducted a descriptive study screening a sample of 236 studies from a...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2016.07.018

    authors: Colicchio TK,Facelli JC,Del Fiol G,Scammon DL,Bowes WA 3rd,Narus SP

    更新日期:2016-10-01 00:00:00

  • Deep learning with wearable based heart rate variability for prediction of mental and general health.

    abstract::The ubiquity and commoditisation of wearable biosensors (fitness bands) has led to a deluge of personal healthcare data, but with limited analytics typically fed back to the user. The feasibility of feeding back more complex, seemingly unrelated measures to users was investigated, by assessing whether increased levels...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103610

    authors: Coutts LV,Plans D,Brown AW,Collomosse J

    更新日期:2020-12-01 00:00:00

  • Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction.

    abstract:OBJECTIVE:To develop an effective and scalable individual-level patient cost prediction method by automatically learning hidden temporal patterns from multivariate time series data in patient insurance claims using a convolutional neural network (CNN) architecture. METHODS:We used three years of medical and pharmacy c...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103565

    authors: Morid MA,Sheng ORL,Kawamoto K,Abdelrahman S

    更新日期:2020-11-01 00:00:00

  • Risk factor detection for heart disease by applying text analytics in electronic medical records.

    abstract::In the United States, about 600,000 people die of heart disease every year. The annual cost of care services, medications, and lost productivity reportedly exceeds 108.9 billion dollars. Effective disease risk assessment is critical to prevention, care, and treatment planning. Recent advancements in text analytics hav...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2015.08.011

    authors: Torii M,Fan JW,Yang WL,Lee T,Wiley MT,Zisook DS,Huang Y

    更新日期:2015-12-01 00:00:00

  • Computer mediated reality technologies: A conceptual framework and survey of the state of the art in healthcare intervention systems.

    abstract:INTRODUCTION:The trend of an ageing and growing world population, particularly in developed countries, is expected to continue for decades to come causing an increase in demand for healthcare resources and services. Consequently, demand is growing faster than rises in funding. The UK government, in partnership with the...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章,评审

    doi:10.1016/j.jbi.2019.103102

    authors: Ibrahim Z,Money AG

    更新日期:2019-02-01 00:00:00

  • Using natural language processing to extract mammographic findings.

    abstract:OBJECTIVE:Structured data on mammographic findings are difficult to obtain without manual review. We developed and evaluated a rule-based natural language processing (NLP) system to extract mammographic findings from free-text mammography reports. MATERIALS AND METHODS:The NLP system extracted four mammographic findin...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2015.01.010

    authors: Gao H,Aiello Bowles EJ,Carrell D,Buist DS

    更新日期:2015-04-01 00:00:00

  • Specifying computer-based counseling systems in health care: a new approach to user-interface and interaction design.

    abstract::Computer-based counseling systems in health care play an important role in the toolset available for medical doctors to inform, motivate and challenge their patients according to a well-defined therapeutic goal. The design, development and implementation of such systems require close collaboration between users, i.e. ...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2008.10.005

    authors: Herzberg D,Marsden N,Kübler P,Leonhardt C,Thomanek S,Jung H,Becker A

    更新日期:2009-04-01 00:00:00

  • The Analytic Information Warehouse (AIW): a platform for analytics using electronic health record data.

    abstract:OBJECTIVE:To create an analytics platform for specifying and detecting clinical phenotypes and other derived variables in electronic health record (EHR) data for quality improvement investigations. MATERIALS AND METHODS:We have developed an architecture for an Analytic Information Warehouse (AIW). It supports transfor...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2013.01.005

    authors: Post AR,Kurc T,Cholleti S,Gao J,Lin X,Bornstein W,Cantrell D,Levine D,Hohmann S,Saltz JH

    更新日期:2013-06-01 00:00:00

  • Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods.

    abstract::Epidemiological time series forecasting plays an important role in health public systems, due to its ability to allow managers to develop strategic planning to avoid possible epidemics. In this paper, a hybrid learning framework is developed to forecast multi-step-ahead (one, two, and three-month-ahead) meningitis cas...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2020.103575

    authors: Ribeiro MHDM,Mariani VC,Coelho LDS

    更新日期:2020-11-01 00:00:00

  • Comparison with manual registration reveals satisfactory completeness and efficiency of a computerized cancer registration system.

    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

    authors: Contiero P,Tittarelli A,Maghini A,Fabiano S,Frassoldi E,Costa E,Gada D,Codazzi T,Crosignani P,Tessandori R,Tagliabue G

    更新日期:2008-02-01 00:00:00

  • A comprehensive review of feature based methods for drug target interaction prediction.

    abstract::Drug target interaction is a prominent research area in the field of drug discovery. It refers to the recognition of interactions between chemical compounds and the protein targets in the human body. Wet lab experiments to identify these interactions are expensive as well as time consuming. The computational methods o...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章,评审

    doi:10.1016/j.jbi.2019.103159

    authors: Sachdev K,Gupta MK

    更新日期:2019-05-01 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

  • Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: an application to predict the European Quality of Life-5 Dimensions (EQ-5D) from the 39-item Parkinson's Disease Questionnaire (PDQ-39).

    abstract::Multi-dimensional Bayesian network classifiers (MBCs) are probabilistic graphical models recently proposed to deal with multi-dimensional classification problems, where each instance in the data set has to be assigned to more than one class variable. In this paper, we propose a Markov blanket-based approach for learni...

    journal_title:Journal of biomedical informatics

    pub_type: 杂志文章

    doi:10.1016/j.jbi.2012.07.010

    authors: Borchani H,Bielza C,Martı Nez-Martı N P,Larrañaga P

    更新日期:2012-12-01 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