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BMC Medical Informatics and Decision Making

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https://www.readbyqxmd.com/read/28532470/health-care-professionals-attitudes-towards-evidence-based-medicine-in-the-workers-compensation-setting-a-cohort-study
#1
Nieke A Elbers, Robin Chase, Ashley Craig, Lyn Guy, Ian A Harris, James W Middleton, Michael K Nicholas, Trudy Rebbeck, John Walsh, Simon Willcock, Keri Lockwood, Ian D Cameron
BACKGROUND: Problems may arise during the approval process of treatment after a compensable work injury, which include excess paperwork, delays in approving services, disputes, and allegations of over-servicing. This is perceived as undesirable for injured people, health care professionals and claims managers, and costly to the health care system, compensation system, workplaces and society. Introducing an Evidence Based Medicine (EBM) decision tool in the workers' compensation system could provide a partial solution, by reducing uncertainty about effective treatment...
May 22, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539126/knowledge-driven-binning-approach-for-rare-variant-association-analysis-application-to-neuroimaging-biomarkers-in-alzheimer-s-disease
#2
Dokyoon Kim, Anna O Basile, Lisa Bang, Emrin Horgusluoglu, Seunggeun Lee, Marylyn D Ritchie, Andrew J Saykin, Kwangsik Nho
BACKGROUND: Rapid advancement of next generation sequencing technologies such as whole genome sequencing (WGS) has facilitated the search for genetic factors that influence disease risk in the field of human genetics. To identify rare variants associated with human diseases or traits, an efficient genome-wide binning approach is needed. In this study we developed a novel biological knowledge-based binning approach for rare-variant association analysis and then applied the approach to structural neuroimaging endophenotypes related to late-onset Alzheimer's disease (LOAD)...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539124/disease-causality-extraction-based-on-lexical-semantics-and-document-clause-frequency-from-biomedical-literature
#3
Dong-Gi Lee, Hyunjung Shin
BACKGROUND: Recently, research on human disease network has succeeded and has become an aid in figuring out the relationship between various diseases. In most disease networks, however, the relationship between diseases has been simply represented as an association. This representation results in the difficulty of identifying prior diseases and their influence on posterior diseases. In this paper, we propose a causal disease network that implements disease causality through text mining on biomedical literature...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539122/an-inference-method-from-multi-layered-structure-of-biomedical-data
#4
Myungjun Kim, Yonghyun Nam, Hyunjung Shin
BACKGROUND: Biological system is a multi-layered structure of omics with genome, epigenome, transcriptome, metabolome, proteome, etc., and can be further stretched to clinical/medical layers such as diseasome, drugs, and symptoms. One advantage of omics is that we can figure out an unknown component or its trait by inferring from known omics components. The component can be inferred by the ones in the same level of omics or the ones in different levels. METHODS: To implement the inference process, an algorithm that can be applied to the multi-layered complex system is required...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539121/network-mirroring-for-drug-repositioning
#5
Sunghong Park, Dong-Gi Lee, Hyunjung Shin
BACKGROUND: Although drug discoveries can provide meaningful insights and significant enhancements in pharmaceutical field, the longevity and cost that it takes can be extensive where the success rate is low. In order to circumvent the problem, there has been increased interest in 'Drug Repositioning' where one searches for already approved drugs that have high potential of efficacy when applied to other diseases. To increase the success rate for drug repositioning, one considers stepwise screening and experiments based on biological reactions...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539116/modeling-long-term-human-activeness-using-recurrent-neural-networks-for-biometric-data
#6
Zae Myung Kim, Hyungrai Oh, Han-Gyu Kim, Chae-Gyun Lim, Kyo-Joong Oh, Ho-Jin Choi
BACKGROUND: With the invention of fitness trackers, it has been possible to continuously monitor a user's biometric data such as heart rates, number of footsteps taken, and amount of calories burned. This paper names the time series of these three types of biometric data, the user's "activeness", and investigates the feasibility in modeling and predicting the long-term activeness of the user. METHODS: The dataset used in this study consisted of several months of biometric time-series data gathered by seven users independently...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539115/quad-phased-data-mining-modeling-for-dementia-diagnosis
#7
Sunjoo Bang, Sangjoon Son, Hyunwoong Roh, Jihye Lee, Sungyun Bae, Kyungwon Lee, Changhyung Hong, Hyunjung Shin
BACKGROUND: The number of people with dementia is increasing along with people's ageing trend worldwide. Therefore, there are various researches to improve a dementia diagnosis process in the field of computer-aided diagnosis (CAD) technology. The most significant issue is that the evaluation processes by physician which is based on medical information for patients and questionnaire from their guardians are time consuming, subjective and prone to error. This problem can be solved by an overall data mining modeling, which subsidizes an intuitive decision of clinicians...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28539112/cascade-recurring-deep-networks-for-audible-range-prediction
#8
Yonghyun Nam, Oak-Sung Choo, Yu-Ri Lee, Yun-Hoon Choung, Hyunjung Shin
BACKGROUND: Hearing Aids amplify sounds at certain frequencies to help patients, who have hearing loss, to improve the quality of life. Variables affecting hearing improvement include the characteristics of the patients' hearing loss, the characteristics of the hearing aids, and the characteristics of the frequencies. Although the two former characteristics have been studied, there are only limited studies predicting hearing gain, after wearing Hearing Aids, with utilizing all three characteristics...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28506225/healthrecsys-a-semantic-content-based-recommender-system-to-complement-health-videos
#9
Carlos Luis Sanchez Bocanegra, Jose Luis Sevillano Ramos, Carlos Rizo, Anton Civit, Luis Fernandez-Luque
BACKGROUND: The Internet, and its popularity, continues to grow at an unprecedented pace. Watching videos online is very popular; it is estimated that 500 h of video are uploaded onto YouTube, a video-sharing service, every minute and that, by 2019, video formats will comprise more than 80% of Internet traffic. Health-related videos are very popular on YouTube, but their quality is always a matter of concern. One approach to enhancing the quality of online videos is to provide additional educational health content, such as websites, to support health consumers...
May 15, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28499380/erratum-to-implementing-360%C3%A2-quantified-self-for-childhood-obesity-feasibility-study-and-experiences-from-a-weight-loss-camp-in-qatar
#10
Luis Fernandez-Luque, Meghna Singh, Ferda Ofli, Yelena A Mejova, Ingmar Weber, Michael Aupetit, Sahar Karim Jreige, Ahmed Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna
No abstract text is available yet for this article.
May 12, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28490353/implementation-of-depression-screening-in-antenatal-clinics-through-tablet-computers-results-of-a-feasibility-study
#11
José S Marcano-Belisario, Ajay K Gupta, John O'Donoghue, Paul Ramchandani, Cecily Morrison, Josip Car
BACKGROUND: Mobile devices may facilitate depression screening in the waiting area of antenatal clinics. This can present implementation challenges, of which we focused on survey layout and technology deployment. METHODS: We assessed the feasibility of using tablet computers to administer a socio-demographic survey, the Whooley questions and the Edinburgh Postnatal Depression Scale (EPDS) to 530 pregnant women attending National Health Service (NHS) antenatal clinics across England...
May 10, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28482896/renal-transplant-patient-acceptance-of-a-self-management-support-system
#12
Wenxin Wang, Céline L van Lint, Willem-Paul Brinkman, Ton J M Rövekamp, Sandra van Dijk, Paul J M van der Boog, Mark A Neerincx
BACKGROUND: Self-management support systems (SMSS) have been proposed for renal transplant patients to increase their autonomy and reduce the number of hospital visits. For the design and implementation of such systems, it is important to understand factors influencing patients' acceptance of a SMSS. This paper aims to identify these key factors. METHODS: From literature, possible factors and related questionnaire items were identified. Afterwards, focus groups with experts and patients were conducted to adapt the items to the application domain...
May 8, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28464923/enriching-the-international-clinical-nomenclature-with-chinese-daily-used-synonyms-and-concept-recognition-in-physician-notes
#13
Rui Zhang, Jialin Liu, Yong Huang, Miye Wang, Qingke Shi, Jun Chen, Zhi Zeng
BACKGROUND: It has been shown that the entities in everyday clinical text are often expressed in a way that varies from how they are expressed in the nomenclature. Owing to lots of synonyms, abbreviations, medical jargons or even misspellings in the daily used physician notes in clinical information system (CIS), the terminology without enough synonyms may not be adequately suitable for the task of Chinese clinical term recognition. METHODS: This paper demonstrates a validated system to retrieve the Chinese term of clinical finding (CTCF) from CIS and map them to the corresponding concepts of international clinical nomenclature, such as SNOMED CT...
May 2, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28441950/development-of-a-web-based-patient-decision-aid-for-initiating-disease-modifying-anti-rheumatic-drugs-using-user-centred-design-methods
#14
Ingrid Nota, Constance H C Drossaert, Heleen C Melissant, Erik Taal, Harald E Vonkeman, Cees J Haagsma, Mart A F J van de Laar
BACKGROUND: A main element of patient-centred care, Patient Decision Aids (PtDAs) facilitate shared decision-making (SDM). A recent update of the International Patient Decision Aids Standards (IPDAS) emphasised patient involvement during PtDA development, but omitted a methodology for doing so. This article reports on the value of user-centred design (UCD) methods for the development of a PtDA that aims to support inflammatory arthritis patients in their choice between disease modifying anti-rheumatic drugs (DMARDs)...
April 26, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28441940/clinical-records-anonymisation-and-text-extraction-crate-an-open-source-software-system
#15
REVIEW
Rudolf N Cardinal
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 research uses of clinical data without explicit consent. RESULTS: This article presents CRATE (Clinical Records Anonymisation and Text Extraction), an open-source software system with separable functions: (1) it anonymises or de-identifies arbitrary relational databases, with sensitivity and precision similar to previous comparable systems; (2) it uses public secure cryptographic methods to map patient identifiers to research identifiers (pseudonyms); (3) it connects relational databases to external tools for natural language processing; (4) it provides a web front end for research and administrative functions; and (5) it supports a specific model through which patients may consent to be contacted about research...
April 26, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28431582/social-media-engagement-analysis-of-u-s-federal-health-agencies-on-facebook
#16
Sanmitra Bhattacharya, Padmini Srinivasan, Philip Polgreen
BACKGROUND: It is becoming increasingly common for individuals and organizations to use social media platforms such as Facebook. These are being used for a wide variety of purposes including disseminating, discussing and seeking health related information. U.S. Federal health agencies are leveraging these platforms to 'engage' social media users to read, spread, promote and encourage health related discussions. However, different agencies and their communications get varying levels of engagement...
April 21, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28431546/health-care-public-reporting-utilization-user-clusters-web-trails-and-usage-barriers-on-germany-s-public-reporting-portal-weisse-liste-de
#17
Christoph Pross, Lars-Henrik Averdunk, Josip Stjepanovic, Reinhard Busse, Alexander Geissler
BACKGROUND: Quality of care public reporting provides structural, process and outcome information to facilitate hospital choice and strengthen quality competition. Yet, evidence indicates that patients rarely use this information in their decision-making, due to limited awareness of the data and complex and conflicting information. While there is enthusiasm among policy makers for public reporting, clinicians and researchers doubt its overall impact. Almost no study has analyzed how users behave on public reporting portals, which information they seek out and when they abort their search...
April 21, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28427407/constructive-ehealth-evaluation-lessons-from-evaluation-of-ehr-development-in-4-danish-hospitals
#18
Anna Marie Balling Høstgaard, Pernille Bertelsen, Christian Nøhr
BACKGROUND: Information and communication sources in the healthcare sector are replaced with new eHealth technologies. This has led to problems arising from the lack of awareness of the importance of end-user involvement in eHealth development and of the difficulties caused by using traditional summative evaluation methods. The Constructive eHealth evaluation method (CeHEM) provides a solution to these problems by offering an evaluation framework for supporting and facilitating end-user involvement during all phases of eHealth development...
April 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28427405/ceiling-effect-in-emr-system-assimilation-a-multiple-case-study-in-primary-care-family-practices
#19
Marie-Claude Trudel, Josianne Marsan, Guy Paré, Louis Raymond, Ana Ortiz de Guinea, Éric Maillet, Thomas Micheneau
BACKGROUND: There has been indisputable growth in adoption of electronic medical record (EMR) systems in the recent years. However, physicians' progress in using these systems has stagnated when measured with maturity scales. While this so-called ceiling effect has been observed and its consequences described in previous studies, there is a paucity of research on the elements that could explain such an outcome. We first suggest that in the context of EMR systems we are in presence of a "tiered ceiling effect" and then we show why such phenomenon occurs...
April 20, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28427384/imbalanced-target-prediction-with-pattern-discovery-on-clinical-data-repositories
#20
Tak-Ming Chan, Yuxi Li, Choo-Chiap Chiau, Jane Zhu, Jie Jiang, Yong Huo
BACKGROUND: Clinical data repositories (CDR) have great potential to improve outcome prediction and risk modeling. However, most clinical studies require careful study design, dedicated data collection efforts, and sophisticated modeling techniques before a hypothesis can be tested. We aim to bridge this gap, so that clinical domain users can perform first-hand prediction on existing repository data without complicated handling, and obtain insightful patterns of imbalanced targets for a formal study before it is conducted...
April 20, 2017: BMC Medical Informatics and Decision Making
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