Implementation of informatics for integrating biology and the bedside (i2b2) platform as Docker containers.

abstract：BACKGROUND:A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assuming we want to monitor the travel and/or activity of an AP in a community where there is a pandemi...

journal_title：BMC medical informatics and decision making

authors： Adu-Gyamfi D,Zhang F,Kwansah Ansah AK

更新日期：2020-09-29 00:00:00

abstract：BACKGROUND:Clinical data synthesis aims at generating realistic data for healthcare research, system implementation and training. It protects patient confidentiality, deepens our understanding of the complexity in healthcare, and is a promising tool for situations where real world data is difficult to obtain or unneces...

journal_title：BMC medical informatics and decision making

authors： Chen J,Chun D,Patel M,Chiang E,James J

更新日期：2019-03-14 00:00:00

abstract：BACKGROUND:The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990-2010, respectively. In this context, this study uses convolutional neural networks for classifying (dia...

journal_title：BMC medical informatics and decision making

authors： Lee KS,Jung S,Gil Y,Son HS

更新日期：2019-10-29 00:00:00

abstract：BACKGROUND:Patient stratification is a critical task in clinical decision making since it can allow physicians to choose treatments in a personalized way. Given the increasing availability of electronic medical records (EMRs) with longitudinal data, one crucial problem is how to efficiently cluster the patients based o...

journal_title：BMC medical informatics and decision making

authors： Rama K,Canhão H,Carvalho AM,Vinga S

更新日期：2019-12-30 00:00:00

abstract：BACKGROUND:Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment. In this study, we designed a multi-level hypoglycemia early alarm system to mine potential information in Continuous Glucose Monitoring (CGM...

journal_title：BMC medical informatics and decision making

authors： Yu X,Ma N,Yang T,Zhang Y,Miao Q,Tao J,Li H,Li Y,Yang Y

更新日期：2021-01-21 00:00:00

abstract：BACKGROUND:Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, i...

journal_title：BMC medical informatics and decision making

authors： Manhas KP,Dodd SX,Page S,Letourneau N,Adair CE,Cui X,Tough SC

更新日期：2018-11-12 00:00:00

abstract：INTRODUCTION:While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will remain an important component of future diagnostic decision support systems by providing ground truth...

journal_title：BMC medical informatics and decision making

authors： Müller L,Gangadharaiah R,Klein SC,Perry J,Bernstein G,Nurkse D,Wailes D,Graham R,El-Kareh R,Mehta S,Vinterbo SA,Aronoff-Spencer E

更新日期：2019-04-27 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: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:Whether early detection and treatment of prostate cancer (PCa) will reduce disease-related mortality remains uncertain. As a result, tools are needed to facilitate informed decision making. While there have been several decision aids (DAs) developed and tested, very few have included an exercise to help men ...

journal_title：BMC medical informatics and decision making

authors： Dorfman CS,Williams RM,Kassan EC,Red SN,Dawson DL,Tuong W,Parker ER,Ohene-Frempong J,Davis KM,Krist AH,Woolf SH,Schwartz MD,Fishman MB,Cole C,Taylor KL

更新日期：2010-03-03 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: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:Since the beginning of 2007, the National Health Research Institutes has been promoting the dissemination of evidence-based medicine (EBM). The current study examined longitudinal trends of behaviors in how hospital-based physicians and nurses have searched for medical information during the spread of EBM. ...

journal_title：BMC medical informatics and decision making

authors： Weng YH,Kuo KN,Yang CY,Lo HL,Shih YH,Chen C,Chiu YW

更新日期：2013-01-07 00:00:00

abstract：BACKGROUND:Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number of professional and uncommon clinical terms in Chinese electronic medical records (EMRs), there are...

journal_title：BMC medical informatics and decision making

authors： Li L,Zhao J,Hou L,Zhai Y,Shi J,Cui F

更新日期：2019-12-05 00:00:00

abstract：BACKGROUND:As the use of electronic health records (EHRs) becomes more widespread, so does the need to search and provide effective information discovery within them. Querying by keyword has emerged as one of the most effective paradigms for searching. Most work in this area is based on traditional Information Retrieva...

journal_title：BMC medical informatics and decision making

authors： Hristidis V,Varadarajan RR,Biondich P,Weiner M

更新日期：2010-10-22 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: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: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:The necessity to translate eligibility criteria from free text into decision rules that are compatible with data from the electronic health record (EHR) constitutes the main challenge when developing and deploying clinical trial recruitment support systems. Recruitment decisions based on case-based reasoning...

journal_title：BMC medical informatics and decision making

authors： Köpcke F,Lubgan D,Fietkau R,Scholler A,Nau C,Stürzl M,Croner R,Prokosch HU,Toddenroth D

更新日期：2013-12-09 00:00:00

abstract：BACKGROUND:A common disclosure control practice for health datasets is to identify small geographic areas and either suppress records from these small areas or aggregate them into larger ones. A recent study provided a method for deciding when an area is too small based on the uniqueness criterion. The uniqueness crite...

journal_title：BMC medical informatics and decision making

authors： El Emam K,Brown A,AbdelMalik P,Neisa A,Walker M,Bottomley J,Roffey T

更新日期：2010-04-02 00:00:00

abstract：BACKGROUND:The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases from all healthcare facilities in the state within 6 months of diagnosis. Similar to all other U.S. and Canadian cancer registries, KCR uses a data dictionary provided by t...

journal_title：BMC medical informatics and decision making

authors： Tao S,Zeng N,Hands I,Hurt-Mueller J,Durbin EB,Cui L,Zhang GQ

更新日期：2020-12-15 00:00:00

abstract：BACKGROUND:Accumulating evidence has linked environmental exposure, such as ambient air pollution and meteorological factors, to the development and severity of cardiovascular diseases (CVDs), resulting in increased healthcare demand. Effective prediction of demand for healthcare services, particularly those associated...

journal_title：BMC medical informatics and decision making

authors： Qiu H,Luo L,Su Z,Zhou L,Wang L,Chen Y

更新日期：2020-05-01 00:00:00

abstract：BACKGROUND:Digital health interventions can fill gaps in mental healthcare provision. However, autonomous e-mental health (AEMH) systems also present challenges for effective risk management. To balance autonomy and safety, AEMH systems need to detect risk situations and act on these appropriately. One option is sendin...

journal_title：BMC medical informatics and decision making

authors： Tielman ML,Neerincx MA,Pagliari C,Rizzo A,Brinkman WP

更新日期：2019-03-18 00:00:00

abstract：BACKGROUND:Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an...

journal_title：BMC medical informatics and decision making

authors： Gerdesköld C,Toth-Pal E,Wårdh I,Nilsson GH,Nager A

更新日期：2020-11-16 00:00:00

abstract：BACKGROUND:The objective of this study was to explore the use and perceptions of a local Severe Acute Respiratory Syndrome (SARS) Extranet and its potential to support future information and communication applications. The SARS Extranet was a single, managed electronic and limited access system to manage local, provinc...

journal_title：BMC medical informatics and decision making

authors： Valaitis RK,Akhtar-Danesh N,Kealey CM,Brunetti GM,Thomas H

更新日期：2005-06-20 00:00:00

abstract：BACKGROUND:A variety of multimodal treatment options are available for colorectal cancer and many patients want to be involved in decisions about their therapies. However, their desire for autonomy is limited by lack of disease-specific knowledge. Visual aids may be helpful tools to present complex data in an easy-to-u...

journal_title：BMC medical informatics and decision making

authors： Hofmann S,Vetter J,Wachter C,Henne-Bruns D,Porzsolt F,Kornmann M

更新日期：2012-10-23 00:00:00

abstract：BACKGROUND:Although regulatory compliance in academic research is enforced by law to ensure high quality and safety to participants, its implementation is frequently hindered by cost and logistical barriers. In order to decrease these barriers, we have developed a Web-based application, Duke Surgery Research Central (D...

journal_title：BMC medical informatics and decision making

authors： Pietrobon R,Shah A,Kuo P,Harker M,McCready M,Butler C,Martins H,Moorman CT,Jacobs DO

更新日期：2006-07-27 00:00:00

abstract：BACKGROUND:Robust, programmatically accessible biomedical information services that syntactically and semantically interoperate with other resources are challenging to construct. Such systems require the adoption of common information models, data representations and terminology standards as well as documented applicat...

journal_title：BMC medical informatics and decision making

authors： Phillips J,Chilukuri R,Fragoso G,Warzel D,Covitz PA

更新日期：2006-01-06 00:00:00

abstract：BACKGROUND:A major problem patients encounter when reading about health related issues is document interpretation, which limits reading comprehension and therefore negatively impacts health care. Currently, searching for medical definitions from an external source is time consuming, distracting, and negatively impacts ...

journal_title：BMC medical informatics and decision making

authors： Gradie PR,Litster M,Thomas R,Vyas J,Schiller MR

更新日期：2011-01-25 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