Psychometric assessment and behavioral experiments using a free virtual reality platform and computational science.

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:Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physiological data supporting and a unified data analysis method, doctors can only rely on the subjective experience of the data to distinguish normal people and patients, which easily lead to misdiagnosis. In recent years, fu...

journal_title：BMC medical informatics and decision making

authors： Song H,Chen L,Gao R,Bogdan IIM,Yang J,Wang S,Dong W,Quan W,Dang W,Yu X

更新日期：2017-12-20 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：:In this editorial, we first summarize the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018) held on December 3, 2018 in conjunction with the 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018) in Madrid, Spain, and then briefly introduce five research articles i...

journal_title：BMC medical informatics and decision making

authors： He Z,Bian J,Tao C,Zhang R

更新日期：2019-08-08 00:00:00

abstract：BACKGROUND:The Personal Patient Profile-Prostate (P3P) is a web-based decision support system for men newly diagnosed with localized prostate cancer that has demonstrated efficacy in reducing decisional conflict. Our objective was to estimate willingness-to-pay (WTP) for men's decisional preparation activities. METHOD...

journal_title：BMC medical informatics and decision making

authors： Wilson LS,Blonquist TM,Hong F,Halpenny B,Wolpin S,Chang P,Filson CP,Master VA,Sanda MG,Chien GW,Jones RA,Krupski TL,Berry DL

更新日期：2019-01-09 00:00:00

abstract：BACKGROUND:When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if the option is available. The RNS notifies all the registered users in the vicinity of the cardiac arre...

journal_title：BMC medical informatics and decision making

authors： Rao G,Choudhury S,Lingras P,Savage D,Mago V

更新日期：2020-12-30 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:Clinical vignettes are often used to elicit information about health conditions in research studies. This review summarizes the components of clinical vignettes describing Alzheimer's disease (AD) or other dementias. The purpose is to provide recommendations for the development of standardized vignettes that...

journal_title：BMC medical informatics and decision making

authors： Randhawa H,Jiwa A,Oremus M

更新日期：2015-07-15 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:User satisfaction with PACS is considered as one of the important criteria for assessing success in using PACS. The objective of this study was to determine the level of user satisfaction with PACS and to compare its functional features with traditional film-based systems. METHODS:This study was conducted i...

journal_title：BMC medical informatics and decision making

authors： Abbasi R,Sadeqi Jabali M,Khajouei R,Tadayon H

更新日期：2020-08-05 00:00:00

abstract：BACKGROUND:At present, dengue control focuses on reducing the density of the primary vector for the disease, Aedes aegypti, which is the only vulnerable link in the chain of transmission. The use of new approaches for dengue entomological surveillance is extremely important, since present methods are inefficient. With ...

journal_title：BMC medical informatics and decision making

authors： C Costa AC,Codeço CT,Honório NA,Pereira GR,N Pinheiro CF,Nobre AA

更新日期：2015-11-13 00:00:00

abstract：BACKGROUND:Drug therapy has become increasingly efficient, with more drugs available for treatment of an ever-growing number of conditions. Yet, drug use is reported to be sub optimal in several aspects, such as dosage, patient's adherence and outcome of therapy. The aim of the current study was to investigate the poss...

journal_title：BMC medical informatics and decision making

authors： Wanger P,Martin L

更新日期：2004-07-20 00:00:00

abstract：BACKGROUND:With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China national stroke screening and intervention program, which screens stroke and its risk factors and conducts ...

journal_title：BMC medical informatics and decision making

authors： Li X,Bian D,Yu J,Li M,Zhao D

更新日期：2019-12-10 00:00:00

abstract：BACKGROUND:During the last decade, there has been an increase in studies describing use of mHealth, using smartphones with apps, in the healthcare system by a variety of populations. Despite this, few interventions including apps are targeting older people receiving home care. Developing mobile technology to its full p...

journal_title：BMC medical informatics and decision making

authors： Göransson C,Wengström Y,Hälleberg-Nyman M,Langius-Eklöf A,Ziegert K,Blomberg K

更新日期：2020-09-15 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:Hospitals have increasingly realized that wholesale adoption of electronic medical records (EMR) may introduce differential tangible/intangible benefits to them, including improved quality-of-care, reduced medical errors, reduced costs, and allowable instant access to relevant patient information by healthca...

journal_title：BMC medical informatics and decision making

authors： Kuo KM,Chen YC,Talley PC,Huang CH

更新日期：2018-12-18 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:With wide applications of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS), statistical comparison of serum peptide profiles and management of patients information play ...

journal_title：BMC medical informatics and decision making

authors： Cao Y,Wang N,Ying X,Li A,Wang H,Zhang X,Li W

更新日期：2009-02-17 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: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:Healthcare and social care environments are increasingly confronted with older persons with long-term care needs. Consequently, the need for integrated and coordinated assessment systems increases. In Belgium, feasibility studies have been conducted on the implementation and use of interRAI instruments offer...

journal_title：BMC medical informatics and decision making

authors： Vanneste D,Vermeulen B,Declercq A

更新日期：2013-11-27 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: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:Electronic health records are now widely adopted in medical and behavioral health settings. While they have the potential to improve the quality of care, the research findings on their impact on clinical practice and outcomes have been mixed. This study explores how the electronic health record and its stage...

journal_title：BMC medical informatics and decision making

authors： Stanhope V,Matthews EB

更新日期：2019-08-22 00:00:00

abstract：BACKGROUND:The use of routine hospital data for understanding patterns of adverse outcomes has been limited in the past by the fact that pre-existing and post-admission conditions have been indistinguishable. The use of a 'Present on Admission' (or POA) indicator to distinguish pre-existing or co-morbid conditions from...

journal_title：BMC medical informatics and decision making

authors： Jackson TJ,Michel JL,Roberts R,Shepheard J,Cheng D,Rust J,Perry C

更新日期：2009-12-01 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:Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies have exploited effective representation learning capability of deep learni...

journal_title：BMC medical informatics and decision making

authors： Yao L,Mao C,Luo Y

更新日期：2019-04-04 00:00:00

abstract：BACKGROUND:Methods for linking real-world healthcare data often use a latent class model, where the latent, or unknown, class is the true match status of candidate record-pairs. This commonly used model assumes that agreement patterns among multiple fields within a latent class are independent. When this assumption is ...

journal_title：BMC medical informatics and decision making

authors： Daggy JK,Xu H,Hui SL,Gamache RE,Grannis SJ

更新日期：2013-08-30 00:00:00

abstract：BACKGROUND:Increased digitalization of healthcare comes along with the cost of cybercrime proliferation. This results to patients' and healthcare providers' skepticism to adopt Health Information Technologies (HIT). In Europe, this shortcoming hampers efficient cross-border health data exchange, which requires a holist...

journal_title：BMC medical informatics and decision making

authors： Natsiavas P,Rasmussen J,Voss-Knude M,Votis Κ,Coppolino L,Campegiani P,Cano I,Marí D,Faiella G,Clemente F,Nalin M,Grivas E,Stan O,Gelenbe E,Dumortier J,Petersen J,Tzovaras D,Romano L,Komnios I,Koutkias V

更新日期：2018-10-16 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