Correction to: The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions.

abstract：BACKGROUND:Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment has been limited due to uncertainty about their performance when applied to new ...

journal_title：BMC medical informatics and decision making

authors： Hartman T,Howell MD,Dean J,Hoory S,Slyper R,Laish I,Gilon O,Vainstein D,Corrado G,Chou K,Po MJ,Williams J,Ellis S,Bee G,Hassidim A,Amira R,Beryozkin G,Szpektor I,Matias Y

更新日期：2020-01-30 00:00:00

abstract：BACKGROUND:Electronic medical records contain information of value for research, but contain identifiable and often highly sensitive confidential information. Patient-identifiable information cannot in general be shared outside clinical care teams without explicit consent, but anonymisation/de-identification allows res...

journal_title：BMC medical informatics and decision making

authors： Cardinal RN

更新日期：2017-04-26 00:00:00

abstract：BACKGROUND:High levels of adherence to medications for HIV infection are essential for optimal clinical outcomes and to reduce viral transmission, but many patients do not achieve required levels. Clinician-delivered interventions can improve patients' adherence, but usually require substantial effort by trained indivi...

journal_title：BMC medical informatics and decision making

authors： Ownby RL,Waldrop-Valverde D,Jacobs RJ,Acevedo A,Caballero J

更新日期：2013-02-28 00:00:00

abstract：BACKGROUND:Electronic health records are now widely adopted in medical and behavioral health settings. While they have the potential to improve the quality of care, the research findings on their impact on clinical practice and outcomes have been mixed. This study explores how the electronic health record and its stage...

journal_title：BMC medical informatics and decision making

authors： Stanhope V,Matthews EB

更新日期：2019-08-22 00:00:00

abstract：BACKGROUND:Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physiological data supporting and a unified data analysis method, doctors can only rely on the subjective experience of the data to distinguish normal people and patients, which easily lead to misdiagnosis. In recent years, fu...

journal_title：BMC medical informatics and decision making

authors： Song H,Chen L,Gao R,Bogdan IIM,Yang J,Wang S,Dong W,Quan W,Dang W,Yu X

更新日期：2017-12-20 00:00:00

abstract：BACKGROUND:In an unprecedented rate data in the life sciences is generated and stored in many different databases. An ever increasing part of this data is human health data and therefore falls under data protected by legal regulations. As part of the BioMedBridges project, which created infrastructures that connect mor...

journal_title：BMC medical informatics and decision making

authors： Kuchinke W,Krauth C,Bergmann R,Karakoyun T,Woollard A,Schluender I,Braasch B,Eckert M,Ohmann C

更新日期：2016-07-07 00:00:00

abstract：BACKGROUND:Information and communication technologies have become a vital infrastructural asset for use in the retention of rural health workers. However, little is known about the potential influence of ICT use, perceptions of health workers on ICT in healthcare delivery, and contribution of ICT to health care provide...

journal_title：BMC medical informatics and decision making

authors： Yagos WO,Tabo Olok G,Ovuga E

更新日期：2017-01-10 00:00:00

abstract：BACKGROUND:Quantitative electroencephalogram (EEG) is one neuroimaging technique that has been shown to differentiate patients with major depressive disorder (MDD) and non-depressed healthy volunteers (HV) at the group-level, but its diagnostic potential for detecting differences at the individual level has yet to be r...

journal_title：BMC medical informatics and decision making

authors： Mohammadi M,Al-Azab F,Raahemi B,Richards G,Jaworska N,Smith D,de la Salle S,Blier P,Knott V

更新日期：2015-12-23 00:00:00

abstract：BACKGROUND:In recent years, inter-municipal cooperation in healthcare services has been an important measure implemented to meet future demographic changes in western countries. This entails an increased focus on communication and information sharing across organisational borders. Technology enables efficient and effec...

journal_title：BMC medical informatics and decision making

authors： Holen-Rabbersvik E,Thygesen E,Eikebrokk TR,Fensli RW,Slettebø Å

更新日期：2018-11-07 00:00:00

abstract：BACKGROUND:Functional Magnetic Resonance Imaging (fMRI) has been proven to be useful for studying brain functions. However, due to the existence of noise and distortion, mapping between the fMRI signal and the actual neural activity is difficult. Because of the difficulty, differential pattern analysis of fMRI brain im...

journal_title：BMC medical informatics and decision making

authors： Ji SY,Ward K,Najarian K

更新日期：2009-11-03 00:00:00

abstract：BACKGROUND:Following the completion of treatment and as they enter the follow-up phase, breast cancer patients (BCPs) often recount feeling 'lost in transition', and are left with many questions concerning how their ongoing care and monitoring for recurrence will be managed. Family physicians (FPs) also frequently repo...

journal_title：BMC medical informatics and decision making

authors： Haq R,Heus L,Baker NA,Dastur D,Leung FH,Leung E,Li B,Vu K,Parsons JA

更新日期：2013-07-25 00:00:00

abstract：BACKGROUND:Large healthcare databases, with their ability to collect many variables from daily medical practice, greatly enable health services research. These longitudinal databases provide large cohorts and longitudinal time frames, allowing for highly pragmatic assessment of healthcare delivery. The purpose of this ...

journal_title：BMC medical informatics and decision making

authors： Rhon DI,Clewley D,Young JL,Sissel CD,Cook CE

更新日期：2018-01-31 00:00:00

abstract：BACKGROUND:Shared decision-making (SDM) is considered a key component of high quality cancer care and may be supported by patient decision aids (PtDAs). Many patients, however, face multiple social disadvantages that may influence their ability to fully participate in SDM or to use PtDAs; additionally, these social dis...

journal_title：BMC medical informatics and decision making

authors： Enard KR,Dolan Mullen P,Kamath GR,Dixon NM,Volk RJ

更新日期：2016-06-06 00:00:00

abstract：BACKGROUND:Health numeracy is an important factor in how well people make decisions based on medical risk information. However, in many countries, including Japan, numeracy studies have been limited. METHODS:To fill this gap, we evaluated health numeracy levels in a sample of Japanese adults by translating two well-kn...

journal_title：BMC medical informatics and decision making

authors： Okamoto M,Kyutoku Y,Sawada M,Clowney L,Watanabe E,Dan I,Kawamoto K

更新日期：2012-09-11 00:00:00

abstract：BACKGROUND:Cardiac diseases represent the leading cause of sudden death worldwide. During the development of cardiac diseases, the left ventricle (LV) changes obviously in structure and function. LV motion estimation plays an important role for diagnosis and treatment of cardiac diseases. To estimate LV motion accurate...

journal_title：BMC medical informatics and decision making

authors： Zhang Z,Yang X,Tan C,Guo W,Chen G

更新日期：2017-12-20 00:00:00

abstract：BACKGROUND:Significant resources are invested in the production of research knowledge with the ultimate objective of integrating research evidence into practice. Toolkits are becoming increasingly popular as a knowledge translation (KT) strategy for disseminating health information, to build awareness, inform, and chan...

journal_title：BMC medical informatics and decision making

authors： Barac R,Stein S,Bruce B,Barwick M

更新日期：2014-12-24 00:00:00

abstract：BACKGROUND:Evaluation is a challenging but necessary part of the development cycle of clinical information systems like the electronic medical records (EMR) system. It is believed that such evaluations should include multiple perspectives, be comparative and employ both qualitative and quantitative methods. Self-admini...

journal_title：BMC medical informatics and decision making

authors： Laerum H,Faxvaag A

更新日期：2004-02-09 00:00:00

abstract：BACKGROUND:SNOMED CT is being increasingly adopted as the standard clinical terminology for health care applications. Existing clinical applications that use legacy interface terminology need to migrate to the preferred SNOMED CT standard. In this paper, we describe our experience and methodology for mapping concepts f...

journal_title：BMC medical informatics and decision making

authors： Wade G,Rosenbloom ST

更新日期：2008-10-27 00:00:00

abstract：BACKGROUND:Electronic medical records (EMRs) contain a variety of valuable medical concepts and relations. The ability to recognize relations between medical concepts described in EMRs enables the automatic processing of clinical texts, resulting in an improved quality of health-related data analysis. Driven by the 201...

journal_title：BMC medical informatics and decision making

authors： Zhang Z,Zhou T,Zhang Y,Pang Y

更新日期：2019-04-09 00:00:00

abstract：BACKGROUND:In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the devel...

journal_title：BMC medical informatics and decision making

authors： Fraser HS,Thomas D,Tomaylla J,Garcia N,Lecca L,Murray M,Becerra MC

更新日期：2012-11-07 00:00:00

abstract：BACKGROUND:Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning methods could potentially mitigate domain specific challenges such as limited access to in-domain tools ...

journal_title：BMC medical informatics and decision making

authors： Weegar R,Pérez A,Casillas A,Oronoz M

更新日期：2019-12-23 00:00:00

abstract：BACKGROUND:Multimorbidity is common and associated with poor clinical outcomes and high health care costs. Administrative data are a promising tool for studying the epidemiology of multimorbidity. Our goal was to derive and apply a new scheme for using administrative data to identify the presence of chronic conditions ...

journal_title：BMC medical informatics and decision making

authors： Tonelli M,Wiebe N,Fortin M,Guthrie B,Hemmelgarn BR,James MT,Klarenbach SW,Lewanczuk R,Manns BJ,Ronksley P,Sargious P,Straus S,Quan H,Alberta Kidney Disease Network.

更新日期：2015-04-17 00:00:00

abstract：BACKGROUND:Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinical text. Algorithms and features are two important factors that largely affect the performance of ML...

journal_title：BMC medical informatics and decision making

authors： Tang B,Cao H,Wu Y,Jiang M,Xu H

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:A pilot experimentation of a telemonitoring system for chronic care patients is conducted in the Bilbao Primary Care Health Region (Basque Country, Spain). It seems important to understand the factors related to healthcare professionals' acceptance of this new technology in order to inform its extension to t...

journal_title：BMC medical informatics and decision making

authors： Asua J,Orruño E,Reviriego E,Gagnon MP

更新日期：2012-11-30 00:00:00

abstract：BACKGROUND:Particularly in the context of severe diseases like cancer, many patients wish to include caregivers in the planning of treatment and care. Many caregivers like to be involved but feel insufficiently enabled. This study aimed at providing insight into patients' and caregivers' perspectives on caregivers' rol...

journal_title：BMC medical informatics and decision making

authors： Weis A,Pohlmann S,Poss-Doering R,Strauss B,Ullrich C,Hofmann H,Ose D,Winkler EC,Szecsenyi J,Wensing M

更新日期：2020-07-13 00:00:00

abstract：BACKGROUND:Access to and use of digital technology are more common among people of more advantaged socioeconomic status. These differences might be due to lack of interest, not having physical access or having lower intentions to use this technology. By integrating the digital divide approach and the User Acceptance of...

journal_title：BMC medical informatics and decision making

authors： Paccoud I,Baumann M,Le Bihan E,Pétré B,Breinbauer M,Böhme P,Chauvel L,Leist AK

更新日期：2021-01-13 00:00:00

abstract：BACKGROUND:Although a number of studies have evaluated the effectiveness of computerized decision-support systems (CDSS), there is lack of data on user perspectives, barriers, and facilitators to the implementation of CDSSs in real-life surroundings. The aim of this study was to assess individually perceived barriers, ...

journal_title：BMC medical informatics and decision making

authors： Koskela T,Sandström S,Mäkinen J,Liira H

更新日期：2016-01-22 00:00:00

abstract：BACKGROUND:Preconception care may be an efficacious tool to reduce risk factors for adverse pregnancy outcomes that are associated with lifestyles and health status before pregnancy. We conducted a web-based cohort study in Italian women planning a pregnancy to assess whether a tailored web intervention may change know...

journal_title：BMC medical informatics and decision making

authors： Agricola E,Pandolfi E,Gonfiantini MV,Gesualdo F,Romano M,Carloni E,Mastroiacovo P,Tozzi AE

更新日期：2014-04-15 00:00:00

abstract：BACKGROUND:Colorectal cancer incidence and mortality have been increasing in China and as one of the most important health problems facing the nation. Adequate dissemination of correct information about colorectal cancer could help in reducing cancer-related morbidity and mortality. This study aims to assess the comple...

journal_title：BMC medical informatics and decision making

authors： Zhang S,Yang Y,Yan D,Yuan B,Jiang X,Song C

更新日期：2018-12-04 00:00:00

abstract：BACKGROUND:Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Currently, the analysis of medication event reports is ineffective and requires heavy workloads for clinici...

journal_title：BMC medical informatics and decision making

authors： Zhou S,Kang H,Yao B,Gong Y

更新日期：2018-12-07 00:00:00