BioSunMS: a plug-in-based software for the management of patients information and the analysis of peptide profiles from mass spectrometry.

abstract：BACKGROUND:Effective use of a patient decision aid (PtDA) can be affected by the user's health literacy and the PtDA's characteristics. Systematic reviews of the relevant literature can guide PtDA developers to attend to the health literacy needs of patients. The reviews reported here aimed to assess: METHODS:We revie...

journal_title：BMC medical informatics and decision making

authors： McCaffery KJ,Holmes-Rovner M,Smith SK,Rovner D,Nutbeam D,Clayman ML,Kelly-Blake K,Wolf MS,Sheridan SL

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the...

journal_title：BMC medical informatics and decision making

authors： Buczak AL,Babin S,Moniz L

更新日期：2010-10-14 00:00:00

abstract：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 costl...

journal_title：BMC medical informatics and decision making

authors： Elbers NA,Chase R,Craig A,Guy L,Harris IA,Middleton JW,Nicholas MK,Rebbeck T,Walsh J,Willcock S,Lockwood K,Cameron ID

更新日期：2017-05-22 00:00:00

abstract：BACKGROUND:Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violence-related injuries (V) vs. non-violence-related injuries (NV) is thus a...

journal_title：BMC medical informatics and decision making

authors： Mensa E,Colla D,Dalmasso M,Giustini M,Mamo C,Pitidis A,Radicioni DP

更新日期：2020-10-15 00:00:00

abstract：BACKGROUND:Evaluation is a challenging but necessary part of the development cycle of clinical information systems like the electronic medical records (EMR) system. It is believed that such evaluations should include multiple perspectives, be comparative and employ both qualitative and quantitative methods. Self-admini...

journal_title：BMC medical informatics and decision making

authors： Laerum H,Faxvaag A

更新日期：2004-02-09 00:00:00

abstract：BACKGROUND:In the complex domain of medical decision making, reasoning under uncertainty can benefit from supporting tools. Automated decision support tools often build upon mathematical models, such as Bayesian networks. These networks require probabilities which often have to be assessed by experts in the domain of a...

journal_title：BMC medical informatics and decision making

authors： Witteman CL,Renooij S,Koele P

更新日期：2007-06-11 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: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:Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning methods could potentially mitigate domain specific challenges such as limited access to in-domain tools ...

journal_title：BMC medical informatics and decision making

authors： Weegar R,Pérez A,Casillas A,Oronoz M

更新日期：2019-12-23 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: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:Discharge planning is a care process that aims to secure the transfer of care for the patient at transition from home to the hospital and back home. Information exchange and collaboration between care providers are essential, but deficits are common. A wide range of initiatives to improve the discharge plann...

journal_title：BMC medical informatics and decision making

authors： Nordmark S,Zingmark K,Lindberg I

更新日期：2016-04-27 00:00:00

abstract：BACKGROUND:The objective of this study was to ascertain the performance of syndromic algorithms for the early detection of patients in healthcare facilities who have potentially transmissible infectious diseases, using computerised emergency department (ED) data. METHODS:A retrospective cohort in an 810-bed University...

journal_title：BMC medical informatics and decision making

authors： Gerbier-Colomban S,Gicquel Q,Millet AL,Riou C,Grando J,Darmoni S,Potinet-Pagliaroli V,Metzger MH

更新日期：2013-09-03 00:00:00

abstract：BACKGROUND:The Variome corpus, a small collection of published articles about inherited colorectal cancer, includes annotations of 11 entity types and 13 relation types related to the curation of the relationship between genetic variation and disease. Due to the richness of these annotations, the corpus provides a good...

journal_title：BMC medical informatics and decision making

authors： Verspoor KM,Heo GE,Kang KY,Song M

更新日期：2016-07-18 00:00:00

abstract：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 res...

journal_title：BMC medical informatics and decision making

authors： Cardinal RN

更新日期：2017-04-26 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：:This paper by John D. Keen and James E. Keen addresses a thorny subject. The numerical findings and commentaries in their paper will be disturbing to some readers and seem to defy logic and well established viewpoints. It may well generate angry letters to the editor. However such numerical analysis and reporting incl...

journal_title：BMC medical informatics and decision making

authors： Retsky M

更新日期：2009-04-02 00:00:00

abstract：BACKGROUND:Computerized ICUs rely on software services to convey the medical condition of their patients as well as assisting the staff in taking treatment decisions. Such services are useful for following clinical guidelines quickly and accurately. However, the development of services is often time-consuming and error...

journal_title：BMC medical informatics and decision making

authors： Ongenae F,De Backere F,Steurbaut K,Colpaert K,Kerckhove W,Decruyenaere J,De Turck F

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:Adverse drug events (ADEs) often occur as a result of drug-drug interactions (DDIs). The use of data mining for detecting effects of drug combinations on ADE has attracted growing attention and interest, however, most studies focused on analyzing pairwise DDIs. Recent efforts have been made to explore the di...

journal_title：BMC medical informatics and decision making

authors： Yao X,Tsang T,Sun Q,Quinney S,Zhang P,Ning X,Li L,Shen L

更新日期：2020-03-18 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: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: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: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: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: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：BACKGROUND:Biofuels produced from biomass are considered to be promising sustainable alternatives to fossil fuels. The conversion of lignocellulose into fermentable sugars for biofuels production requires the use of enzyme cocktails that can efficiently and economically hydrolyze lignocellulosic biomass. As many fungi ...

journal_title：BMC medical informatics and decision making

authors： Meurs MJ,Murphy C,Morgenstern I,Butler G,Powlowski J,Tsang A,Witte R

更新日期：2012-04-30 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:Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality data for informed decision making. This has negatively influenced the health service delivery and uptak...

journal_title：BMC medical informatics and decision making

authors： Nguefack-Tsague G,Tamfon BB,Ngnie-Teta I,Ngoufack MN,Keugoung B,Bataliack SM,Bilounga Ndongo C

更新日期：2020-12-17 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:In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specific aims are: (1) to develop a computerized algorithm for medication discrepancy detection between pa...

journal_title：BMC medical informatics and decision making

authors： Li Q,Spooner SA,Kaiser M,Lingren N,Robbins J,Lingren T,Tang H,Solti I,Ni Y

更新日期：2015-05-06 00:00:00