The caCORE Software Development Kit: streamlining construction of interoperable biomedical information services.

abstract：BACKGROUND:The District Health Information Software-2 (DHIS2) is widely used by countries for national-level aggregate reporting of health-data. To best leverage DHIS2 data for decision-making, countries need to ensure that data within their systems are of the highest quality. Comprehensive, systematic, and transparent...

journal_title：BMC medical informatics and decision making

authors： Gesicho MB,Were MC,Babic A

更新日期：2020-11-13 00:00:00

abstract：BACKGROUND:Mobile health has potential for promotion of self-management in patients with chronic diseases. This study was conducted to investigate smartphone usage in patients with type II diabetes and their intention to use it for self-management. METHODS:This cross-sectional study was conducted in 2018 with 176 pati...

journal_title：BMC medical informatics and decision making

authors： Rangraz Jeddi F,Nabovati E,Hamidi R,Sharif R

更新日期：2020-02-07 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:Real-time clinical decision support (CDS) integrated into clinicians' workflow has the potential to profoundly affect the cost, quality, and safety of health care delivery. Recent reports have identified a surprisingly low acceptance rate for different types of CDS. We hypothesized that factors affecting CDS...

journal_title：BMC medical informatics and decision making

authors： Sittig DF,Krall MA,Dykstra RH,Russell A,Chin HL

更新日期：2006-02-01 00:00:00

abstract：BACKGROUND:Real-world data on the benefit/risk profile of medicines is needed, particularly in patients who are ineligible for randomised controlled trials conducted for registration purposes. This paper describes the methodology and source data verification which enables the conduct of pre-licensing clinical trials of...

journal_title：BMC medical informatics and decision making

authors： Elkhenini HF,Davis KJ,Stein ND,New JP,Delderfield MR,Gibson M,Vestbo J,Woodcock A,Bakerly ND

更新日期：2015-02-07 00:00:00

abstract：:In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10-12, 2018 in Los Angeles, California, USA, and then briefly introduce the six research articles included in this supplement issue. At ICIBM 2018, a special theme of Medical I...

journal_title：BMC medical informatics and decision making

authors： Zhang Y,Tao C,Gong Y,Wang K,Zhao Z

更新日期：2019-01-31 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:The usefulness of syndromic surveillance for early outbreak detection depends in part on effective statistical aberration detection. However, few published studies have compared different detection algorithms on identical data. In the largest simulation study conducted to date, we compared the performance of...

journal_title：BMC medical informatics and decision making

authors： Jackson ML,Baer A,Painter I,Duchin J

更新日期：2007-03-01 00:00:00

abstract：BACKGROUND:Cancer-related fatigue is a distressing symptom experienced by many after cancer treatment. An exploratory randomised controlled trial was conducted to test proof of concept of RESTORE: a web-based tool to enhance self-efficacy to manage cancer-related fatigue. This paper reports findings from a qualitative ...

journal_title：BMC medical informatics and decision making

authors： Myall M,May CR,Grimmett C,May CM,Calman L,Richardson A,Foster CL

更新日期：2015-11-14 00:00:00

abstract：BACKGROUND:This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance. Consecutive clinical entities in a sentence are usually separated from each other, and the textual descriptions in cl...

journal_title：BMC medical informatics and decision making

authors： Lee W,Choi J

更新日期：2019-07-15 00:00:00

abstract：BACKGROUND:Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical question is the need for a biopsy. Accurate risk stratification of patients before a biopsy can allow for individualised risk stratification thus improving clinical decision making. This study aims to build a risk calcul...

journal_title：BMC medical informatics and decision making

authors： Jalali A,Foley RW,Maweni RM,Murphy K,Lundon DJ,Lynch T,Power R,O'Brien F,O'Malley KJ,Galvin DJ,Durkan GC,Murphy TB,Watson RW

更新日期：2020-07-03 00:00:00

abstract：BACKGROUND:Applying evidence is one of the most challenging steps of evidence-based clinical practice. Healthcare professionals have difficulty interpreting evidence and translating it to patients. Decision boxes are summaries of the most important benefits and harms of diagnostic, therapeutic, and preventive health in...

journal_title：BMC medical informatics and decision making

authors： Giguere A,Legare F,Grad R,Pluye P,Rousseau F,Haynes RB,Cauchon M,Labrecque M

更新日期：2011-03-09 00:00:00

abstract：BACKGROUND:Few researchers have examined the perceptions of physicians referring cases for angiography regarding the degree to which collaboration occurs during percutaneous coronary intervention (PCI) decision-making. We sought to determine perceptions of physicians concerning their involvement in PCI decisions in cas...

journal_title：BMC medical informatics and decision making

authors： Rahilly-Tierney CR,Nash IS

更新日期：2008-06-25 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: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: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: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: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：:After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617. ...

journal_title：BMC medical informatics and decision making

authors： Ning X,Zhang C,Wang K,Zhao Z,Mathé E

更新日期：2020-04-28 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:Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer and the most difficult to predict. When there are no distant metastases, the optimal therapy depends mainly on whether there are malignant lymph nodes in the mediastinum. Given the vigorous debate among specialists about which tests...

journal_title：BMC medical informatics and decision making

authors： Luque M,Díez FJ,Disdier C

更新日期：2016-01-26 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:Many suggest that shared decision-making (SDM) is the most effective approach to clinical counseling. It is unclear if this applies to surgical decision-making-especially regarding urgent, highly-morbid operations. In this scoping review, we identify articles that address patient and surgeon preferences towa...

journal_title：BMC medical informatics and decision making

authors： Shinkunas LA,Klipowicz CJ,Carlisle EM

更新日期：2020-08-12 00:00:00

abstract：BACKGROUND:PubMed is the main access to medical literature on the Internet. In order to enhance the performance of its information retrieval tools, primarily non-indexed citations, the authors propose a method: expanding users' queries using Unified Medical Language System' (UMLS) synonyms i.e. all the terms gathered u...

journal_title：BMC medical informatics and decision making

authors： Griffon N,Chebil W,Rollin L,Kerdelhue G,Thirion B,Gehanno JF,Darmoni SJ

更新日期：2012-02-29 00:00:00

abstract：BACKGROUND:Cardiovascular diseases (CVDs) are difficult to diagnose early and have risk factors that are easy to overlook. Early prediction and personalization of treatment through the use of artificial intelligence (AI) may help clinicians and patients manage CVDs more effectively. However, to apply AI approaches to C...

journal_title：BMC medical informatics and decision making

authors： Ahn I,Na W,Kwon O,Yang DH,Park GM,Gwon H,Kang HJ,Jeong YU,Yoo J,Kim Y,Jun TJ,Kim YH

更新日期：2021-01-28 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: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: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:The quantitative study of the publication output (bibliometrics) deeply influences how scientific work is perceived (bibliometric visibility). Recently, new bibliometric indices and databases have been established, which may change the visibility of disciplines, institutions and individuals. This study exami...

journal_title：BMC medical informatics and decision making

authors： Spreckelsen C,Deserno TM,Spitzer K

更新日期：2011-04-15 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