Information discovery on electronic health records using authority flow techniques.

abstract：BACKGROUND:Better understanding of clinical reasoning could reduce diagnostic error linked to 8% of adverse medical events and 30% of malpractice cases. To a greater extent than the evidence-based movement, the clinical reasoning literature asserts the importance of practitioner intuition—unconscious elements of diagno...

journal_title：BMC medical informatics and decision making

authors： Seidel BM,Campbell S,Bell E

更新日期：2015-03-21 00:00:00

abstract：BACKGROUND:Women diagnosed with early breast cancer (stage I or II) can be offered the choice between mastectomy or breast conservation surgery with radiotherapy due to equivalence in survival rates. A wide variation in the surgical management of breast cancer and a lack of theoretically guided research on this issue h...

journal_title：BMC medical informatics and decision making

authors： Sivell S,Elwyn G,Edwards A,Manstead AS,BresDex group.

更新日期：2013-08-20 00:00:00

abstract：BACKGROUND:Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinical text. Algorithms and features are two important factors that largely affect the performance of ML...

journal_title：BMC medical informatics and decision making

authors： Tang B,Cao H,Wu Y,Jiang M,Xu H

更新日期：2013-01-01 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: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: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:The linkage of records which refer to the same entity in separate data collections is a common requirement in public health and biomedical research. Traditionally, record linkage techniques have required that all the identifying data in which links are sought be revealed to at least one party, often a third ...

journal_title：BMC medical informatics and decision making

authors： Churches T,Christen P

更新日期：2004-06-28 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: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: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: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: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 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:The maturity and usage of wireless technology has influenced health services, and this has raised expectations from users that healthcare services will become more affordable due to technology growth. There is increasing evidence to justify this expectation, as telehealth is becoming more and more prevalent ...

journal_title：BMC medical informatics and decision making

authors： Gururajan R,Hafeez-Baig A

更新日期：2014-12-23 00:00:00

abstract：BACKGROUND:Antimicrobial prophylaxis is an evidence-proven strategy for reducing procedure-related infections; however, measuring this key quality metric typically requires manual review, due to the way antimicrobial prophylaxis is documented in the electronic medical record (EMR). Our objective was to electronically m...

journal_title：BMC medical informatics and decision making

authors： Mull HJ,Stolzmann K,Kalver E,Shin MH,Schweizer ML,Asundi A,Mehta P,Stanislawski M,Branch-Elliman W

更新日期：2020-01-30 00:00:00

abstract：BACKGROUND:Circular RNAs (circRNAs) are those RNA molecules that lack the poly (A) tails, which present the closed-loop structure. Recent studies emphasized that some circRNAs imply different functions from canonical transcripts, and further associated with complex diseases. Several computational methods have been deve...

journal_title：BMC medical informatics and decision making

authors： Wang Y,Zhang X,Wang T,Xing J,Wu Z,Li W,Wang J

更新日期：2020-07-09 00:00:00

abstract：BACKGROUND:Cardiogenic stroke has increasing morbidity in China and brought economic burden to patient families. In cardiogenic stroke diagnosis, echocardiograph examination is one of the most important examinations. Sonographers will investigate patients' heart via echocardiograph, and describe them in the echocardiog...

journal_title：BMC medical informatics and decision making

authors： Qin L,Xu X,Ding L,Li Z,Li J

更新日期：2020-07-09 00:00:00

abstract：BACKGROUND:The purpose of this study was to identify recommended practices for computerized clinical decision support (CDS) development and implementation and for knowledge management (KM) processes in ambulatory clinics and community hospitals using commercial or locally developed systems in the U.S. METHODS:Guided b...

journal_title：BMC medical informatics and decision making

authors： Ash JS,Sittig DF,Guappone KP,Dykstra RH,Richardson J,Wright A,Carpenter J,McMullen C,Shapiro M,Bunce A,Middleton B

更新日期：2012-02-14 00:00:00

abstract：BACKGROUND:Technological support using e-health mobile applications (m-health) is a promising strategy to improve the adherence to healthy lifestyles in breast cancer survivors (excess in energy intake or low physical activity are determinants of the risk of recurrence, second cancers and cancer mortality). Moreover, c...

journal_title：BMC medical informatics and decision making

authors： Lozano-Lozano M,Martín-Martín L,Galiano-Castillo N,Álvarez-Salvago F,Cantarero-Villanueva I,Fernández-Lao C,Sánchez-Salado C,Arroyo-Morales M

更新日期：2016-11-25 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:Chronic diseases affect millions of children worldwide leading to substantial disease burden to the children and their families as well as escalating health care costs. The increasing trend in the prevalence of complex pediatric chronic diseases requires innovative and optimal delivery of care. Biomedical in...

journal_title：BMC medical informatics and decision making

authors： Moeinedin F,Moineddin R,Jadad AR,Hamid JS,To T,Beyene J

更新日期：2009-05-05 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:Systematic review (SR) of randomized controlled trials (RCT) is the gold standard for informing treatment choice. Decision analyses (DA) also play an important role in informing health care decisions. It is unknown how often the results of DA and matching SR of RCTs are in concordance. We assessed whether th...

journal_title：BMC medical informatics and decision making

authors： Mhaskar RS,Wao H,Mahony H,Kumar A,Djulbegovic B

更新日期：2014-07-15 00:00:00

abstract：BACKGROUND:Clinical notes such as discharge summaries have a semi- or unstructured format. These documents contain information about diseases, treatments, drugs, etc. Extracting meaningful information from them becomes challenging due to their narrative format. In this context, we aimed to compare the automatic extract...

journal_title：BMC medical informatics and decision making

authors： Reátegui R,Ratté S

更新日期：2018-09-14 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:A main element of patient-centred care, Patient Decision Aids (PtDAs) facilitate shared decision-making (SDM). A recent update of the International Patient Decision Aids Standards (IPDAS) emphasised patient involvement during PtDA development, but omitted a methodology for doing so. This article reports on t...

journal_title：BMC medical informatics and decision making

authors： Nota I,Drossaert CHC,Melissant HC,Taal E,Vonkeman HE,Haagsma CJ,van de Laar MAFJ

更新日期：2017-04-26 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: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: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: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