Non-redundant association rules between diseases and medications: an automated method for knowledge base construction.

abstract：BACKGROUND:The storage and distribution of electrocardiogram data is based on different formats. There is a need to promote the development of standards for their exchange and analysis. Such models should be platform-/ system- and application-independent, flexible and open to every member of the scientific community. ...

journal_title：BMC medical informatics and decision making

authors： Wang H,Azuaje F,Jung B,Black N

更新日期：2003-05-07 00:00:00

abstract：BACKGROUND:Automated reporting of estimated glomerular filtration rate (eGFR) is a recent advance in laboratory information technology (IT) that generates a measure of kidney function with chemistry laboratory results to aid early detection of chronic kidney disease (CKD). Because accurate diagnosis of CKD is critical ...

journal_title：BMC medical informatics and decision making

authors： Hall RK,Wang V,Jackson GL,Hammill BG,Maciejewski ML,Yano EM,Svetkey LP,Patel UD

更新日期：2012-07-12 00:00:00

abstract：BACKGROUND:Publishing raw electronic health records (EHRs) may be considered as a breach of the privacy of individuals because they usually contain sensitive information. A common practice for the privacy-preserving data publishing is to anonymize the data before publishing, and thus satisfy privacy models such as k-an...

journal_title：BMC medical informatics and decision making

authors： Lee H,Kim S,Kim JW,Chung YD

更新日期：2017-07-11 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:Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a focus on personnel's holiday planning. METHODS:We construct a model based on a set of recursive neu...

journal_title：BMC medical informatics and decision making

authors： Kutafina E,Bechtold I,Kabino K,Jonas SM

更新日期：2019-03-07 00:00:00

abstract：BACKGROUND:Cognitive aids are increasingly recommended in clinical practice, yet little is known about the attitudes of physicians towards these tools. METHODS:We employed a qualitative, descriptive design to explore physician attitudes towards cognitive aids in pediatric intensive care units (PICUs). Semi-structured ...

journal_title：BMC medical informatics and decision making

authors： Weiss MJ,Kramer C,Tremblay S,Côté L

更新日期：2016-05-21 00:00:00

abstract：BACKGROUND:Anesthesia side effects are almost inevitable in most situations. In order to optimize the anesthetic experience from the patient's viewpoint, it makes intuitive sense to attempt to avoid the side effects that the patient fears the most. METHODS:We obtained rankings and quantitative estimates of the relativ...

journal_title：BMC medical informatics and decision making

authors： Rashiq S,Bray P

更新日期：2003-02-13 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: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:Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into predetermined categories. The aim of this study is to present an evaluat...

journal_title：BMC medical informatics and decision making

authors： Sakr S,Elshawi R,Ahmed AM,Qureshi WT,Brawner CA,Keteyian SJ,Blaha MJ,Al-Mallah MH

更新日期：2017-12-19 00:00:00

abstract：BACKGROUND:Adjuvant! Online ( http://www.adjuvantonline.com) is an Internet-based software program that allows clinicians to make predictions about the benefits of adjuvant therapy and 10-year survival probability for early-stage breast cancer patients. This model has been validated in Western countries such as the Uni...

journal_title：BMC medical informatics and decision making

authors： Yao-Lung K,Dar-Ren C,Tsai-Wang C

更新日期：2012-09-17 00:00:00

abstract：BACKGROUND:Using Monte Carlo simulations, we compare different methods (maximizing Youden index, maximizing mutual information, and logistic regression) for their ability to determine optimum binary cut-off thresholds for a ratio-scaled diagnostic test variable. Special attention is given to the stability and precision...

journal_title：BMC medical informatics and decision making

authors： Reibnegger G,Schrabmair W

更新日期：2014-11-25 00:00:00

abstract：BACKGROUND:Identifying implausible clinical observations (e.g., laboratory test and vital sign values) in Electronic Health Record (EHR) data using rule-based procedures is challenging. Anomaly/outlier detection methods can be applied as an alternative algorithmic approach to flagging such implausible values in EHRs. ...

journal_title：BMC medical informatics and decision making

authors： Estiri H,Klann JG,Murphy SN

更新日期：2019-07-23 00:00:00

abstract：BACKGROUND:Feedback from service users will provide insight into opportunities for improvement so that performance can be optimised. In the context of a formative evaluation referring clinician and patient satisfaction with a teleneurophysiology service was examined during a 20 week pilot period. METHODS:Questionnaire...

journal_title：BMC medical informatics and decision making

authors： Breen P,Murphy K,Browne G,Molloy F,Reid V,Doherty C,Delanty N,Connolly S,Fitzsimons M

更新日期：2010-09-15 00:00:00

abstract：BACKGROUND:Recently, claim-data-based comorbidity-adjusted methods such as the Charlson index and the Elixhauser comorbidity measures have been widely used among researchers. At the same time, there have been an increasing number of attempts to improve the predictability of comorbidity-adjusted models. We tried to impr...

journal_title：BMC medical informatics and decision making

authors： Bang JH,Hwang SH,Lee EJ,Kim Y

更新日期：2013-11-20 00:00:00

abstract：BACKGROUND:Compared with the increasingly widespread use of picture archiving and communication systems (PACSs), knowledge concerning users' acceptance of such systems is limited. Knowledge of acceptance is needed given the large (and growing) financial investment associated with the implementation of PACSs, and becaus...

journal_title：BMC medical informatics and decision making

authors： Aldosari B

更新日期：2012-05-28 00:00:00

abstract：BACKGROUND:To determine patients' preferences for, and understanding of, FRAX® fracture risk conveyed through illustrations. METHODS:Drawing on examples from published studies, four illustrations of fracture risk were designed and tested for patient preference, ease of understanding, and perceived risk. We enrolled a ...

journal_title：BMC medical informatics and decision making

authors： Edmonds SW,Cram P,Lu X,Roblin DW,Wright NC,Saag KG,Solimeo SL,PAADRN Investigators.

更新日期：2014-11-25 00:00:00

abstract：BACKGROUND:Patients with no history of stroke but with stenosis of the carotid arteries can reduce the risk of future stroke with surgery or stenting. At present, a physicians' ability to recommend optimal treatments based on an individual's risk profile requires estimating the likelihood that a patient will have a poo...

journal_title：BMC medical informatics and decision making

authors： Faerber AE,Horvath R,Stillman C,O'Connell ML,Hamilton AL,Newhall KA,Likosky DS,Goodney PP

更新日期：2015-03-24 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

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: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:Congestive heart failure is one of the most common reasons those aged 65 and over are hospitalized in the United States, which has caused a considerable economic burden. The precise prediction of hospitalization caused by congestive heart failure in the near future could prevent possible hospitalization, opt...

journal_title：BMC medical informatics and decision making

authors： Yang T,Yang Y,Jia Y,Li X

更新日期：2019-01-31 00:00:00

abstract：BACKGROUND:Collaboration among investigators has become critical to scientific research. This includes ad hoc collaboration established through personal contacts as well as formal consortia established by funding agencies. Continued growth in online resources for scientific research and communication has promoted the d...

journal_title：BMC medical informatics and decision making

authors： Yu W,Yesupriya A,Wulf A,Qu J,Gwinn M,Khoury MJ

更新日期：2007-06-20 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:Comparing outcomes between hospitals requires consideration of patient factors that could account for any observed differences. Adjusting for comorbid conditions is common when studying outcomes following cancer surgery, and a commonly used measure is the Charlson comorbidity index. Other measures of patient...

journal_title：BMC medical informatics and decision making

authors： Dobbins TA,Badgery-Parker T,Currow DC,Young JM

更新日期：2015-07-15 00:00:00

abstract：BACKGROUND:The chronic kidney disease (CKD) is a worldwide critical problem, especially in developing countries. CKD patients usually begin their treatment in advanced stages, which requires dialysis and kidney transplantation, and consequently, affects mortality rates. This issue is faced by a mobile health (mHealth) ...

journal_title：BMC medical informatics and decision making

authors： Sobrinho A,da Silva LD,Perkusich A,Pinheiro ME,Cunha P

更新日期：2018-01-12 00:00:00

abstract：BACKGROUND:Demographic change with its consequences of an aging society and an increase in the demand for care in the home environment has triggered intensive research activities in sensor devices and smart home technologies. While many advanced technologies are already available, there is still a lack of decision supp...

journal_title：BMC medical informatics and decision making

authors： Marschollek M

更新日期：2012-05-28 00:00:00

abstract：BACKGROUND:A large proportion of patients with knee and/or hip osteoarthritis (OA) do not meet the recommended levels of physical activity (PA). Therefore, we developed a web-based intervention that provides a tailored PA program for patients with knee and/or hip OA, entitled Join2move. The intervention incorporates co...

journal_title：BMC medical informatics and decision making

authors： Bossen D,Veenhof C,Dekker J,de Bakker D

更新日期：2013-05-28 00:00:00

abstract：BACKGROUND:Electronic health records provide access to an unprecedented amount of clinical data for research that can accelerate the development of effective medical practices. However it is important to protect patient confidentiality, as many medical conditions are stigmatized and disclosure could result in personal ...

journal_title：BMC medical informatics and decision making

authors： Morse RE,Nadkarni P,Schoenfeld DA,Finkelstein DM

更新日期：2011-11-10 00:00:00

abstract：BACKGROUND:Microcontact datasets gathered automatically by electronic devices have the potential augment the study of the spread of contagious disease by providing detailed representations of the study population's contact dynamics. However, the impact of data collection experimental design on the subsequent simulation...

journal_title：BMC medical informatics and decision making

authors： Hashemian M,Qian W,Stanley KG,Osgood ND

更新日期：2012-11-15 00:00:00