A multi-level hypoglycemia early alarm system based on sequence pattern mining.

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: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:Information extraction techniques that get structured representations out of unstructured data make a large amount of clinically relevant information about patients accessible for semantic applications. These methods typically rely on standardized terminologies that guide this process. Many languages and cli...

journal_title：BMC medical informatics and decision making

authors： Toepfer M,Corovic H,Fette G,Klügl P,Störk S,Puppe F

更新日期：2015-11-12 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:Blood cultures are often performed to detect patients who has a serious illness without infections and patients with bloodstream infections. Early positive blood culture prediction is important, as bloodstream infections may cause inflammation of the body, even organ failure or death. However, existing work ...

journal_title：BMC medical informatics and decision making

authors： Cheng M,Zhao X,Ding X,Gao J,Xiong S,Ren Y

更新日期：2020-07-09 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: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:Jurisdictional drug information systems are being implemented in many regions around the world. British Columbia, Canada has had a provincial medication dispensing record, PharmaNet, system since 1995. Little is known about how accurately PharmaNet reflects actual medication usage. METHODS:This prospective,...

journal_title：BMC medical informatics and decision making

authors： Price M,Bowen M,Lau F,Kitson N,Bardal S

更新日期：2012-05-23 00:00:00

abstract：BACKGROUND:Computer simulation studies of the emergency department (ED) are often patient driven and consider the physician as a human resource whose primary activity is interacting directly with the patient. In many EDs, physicians supervise delegates such as residents, physician assistants and nurse practitioners eac...

journal_title：BMC medical informatics and decision making

authors： Lim ME,Worster A,Goeree R,Tarride JÉ

更新日期：2013-05-22 00:00:00

abstract：BACKGROUND:Mathematical models can be used to predict individual growth responses to growth hormone (GH) therapy. The aim of this study was to construct and validate high-precision models to predict the growth response to GH treatment of short children, independent of their GH status, birth size and gestational age. As...

journal_title：BMC medical informatics and decision making

authors： Dahlgren J,Kriström B,Niklasson A,Nierop AF,Rosberg S,Albertsson-Wikland K

更新日期：2007-12-12 00:00:00

abstract：BACKGROUND:Percutaneous coronary intervention (PCI) is the most commonly performed treatment for coronary atherosclerosis. It is associated with a higher incidence of repeat revascularization procedures compared to coronary artery bypass grafting surgery. Recent results indicate that PCI is only cost-effective for a su...

journal_title：BMC medical informatics and decision making

authors： Pölsterl S,Singh M,Katouzian A,Navab N,Kastrati A,Ladic L,Kamen A

更新日期：2015-02-14 00:00:00

abstract：BACKGROUND:Nowadays more and more clinical guidelines for health care professionals are being developed. However, this does not automatically mean that these guidelines are actually implemented. The aim of this meta-review is twofold: firstly, to gain a better understanding of which factors affect the implementation of...

journal_title：BMC medical informatics and decision making

authors： Francke AL,Smit MC,de Veer AJ,Mistiaen P

更新日期：2008-09-12 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: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: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: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: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:Patients undergoing heart surgery continue to be the largest demand on blood transfusions. The need for transfusion is based on the risk of complications due to poor cell oxygenation, however large transfusions are associated with increased morbidity and risk of mortality in heart surgery patients. The aim o...

journal_title：BMC medical informatics and decision making

authors： Simeone F,Franchi F,Cevenini G,Marullo A,Fossombroni V,Scolletta S,Biagioli B,Giomarelli P,Barbini P

更新日期：2011-06-21 00:00:00

abstract：BACKGROUND:To evaluate whether or not the utilization of Health Information Technologies (HITs) in Quality Improvement Methodologies (QIMs) has impacts on QIMs' efficiency, throughput and financial outcomes at healthcare organizations and physician practices in the United States. METHODS:This is a retrospective observ...

journal_title：BMC medical informatics and decision making

authors： AlHazme RH,Haque SS,Wiggin H,Rana AM

更新日期：2016-12-05 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: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：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:Since the introduction of electronic nursing documentation systems, its implementation in recent years has increased rapidly in Germany. The objectives of such systems are to save time, to improve information handling and to improve quality. To integrate IT in the daily working processes, the employee is the...

journal_title：BMC medical informatics and decision making

authors： Meißner A,Schnepp W

更新日期：2014-06-20 00:00:00

abstract：BACKGROUND:Mobile phone technology has demonstrated the potential to improve health service delivery, but there is little guidance to inform decisions about acquiring and implementing mHealth technology at scale in health systems. Using the case of community-based health services (CBS) in South Africa, we apply a frame...

journal_title：BMC medical informatics and decision making

authors： Leon N,Schneider H,Daviaud E

更新日期：2012-11-05 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: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:Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adoption due to characteristics such as sensitive data and high cost of failure. A framework for the desi...

journal_title：BMC medical informatics and decision making

authors： Herman H,Grobbelaar SS,Pistorius C

更新日期：2020-03-12 00:00:00

abstract：BACKGROUND:Diagnostic accuracy might be improved by algorithms that searched patients' clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus this study was to determine if patients with MS could be identified from their clinical notes prior to...

journal_title：BMC medical informatics and decision making

authors： Chase HS,Mitrani LR,Lu GG,Fulgieri DJ

更新日期：2017-02-28 00:00:00

abstract：BACKGROUND:Large biomedical data sets have become increasingly important resources for medical researchers. Modern biomedical data sets are annotated with standard terms to describe the data and to support data linking between databases. The largest curated listing of biomedical terms is the the National Library of Med...

journal_title：BMC medical informatics and decision making

authors： Berman JJ

更新日期：2003-06-16 00:00:00

abstract：BACKGROUND:The development and validation of automated electronic medical record (EMR) search strategies are important for establishing the timing of mechanical ventilation initiation in the intensive care unit (ICU).Thus, we sought to develop and validate an automated EMR search algorithm (strategy) for time zero, the...

journal_title：BMC medical informatics and decision making

authors： Smischney NJ,Velagapudi VM,Onigkeit JA,Pickering BW,Herasevich V,Kashyap R

更新日期：2014-06-25 00:00:00