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 echocardiograph reports. In this study, we developed a machine learning model to automatically identify diagnosis evidences of cardiogenic stroke providing to neurologist for clinical decision making. METHODS:We collected 4188 Chinese echocardiograph reports of 4018 patients, with average length 177 Chinese characters in free-text style. Collaborating with neurologists and sonographers, we summarized 149 phrases on diagnosis evidence of cardiogenic stroke such as " (severe mitral stenosis), " (aortic valve degeneration) and so on. Furthermore, we developed an annotated corpus via mapping 149 phrases to the 4188 reports. We selected 11 most frequent diagnosis evidence types such as " (mitral stenosis) for further identifying. The generated corpus is divided into training set and testing set in the ratio of 8:2, which is used to train and validate a machine learning model to identify the evidence of cardiogenic stroke using BiLSTM-CRF algorithm. RESULTS:Our machine learning method achieved the average performance on the diagnosis evidence identification is 98.03, 90.17 and 93.94% respectively. In addition, our method is capable to identify the novel diagnosis evidence of cardiogenic stroke description such as "-" (mitral stenosis), " (aortic valve calcification) et al. CONCLUSIONS: In this study, we analyze the structure of the echocardiograph reports and summarized 149 phrases on diagnosis evidence of cardiogenic stroke. We use the phrases to generate an annotated corpus automatically, which greatly reduces the cost of manual annotation. The model trained based on the corpus also has a good performance on the testing set. The method of automatically identifying diagnosis evidence of cardiogenic stroke proposed in this study will be further refined in the practice.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
Qin L,Xu X,Ding L,Li Z,Li Jdoi
10.1186/s12911-020-1106-3subject
Has Abstractpub_date
2020-07-09 00:00:00pages
126issue
Suppl 3issn
1472-6947pii
10.1186/s12911-020-1106-3journal_volume
20pub_type
杂志文章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
pub_type: 杂志文章
doi:10.1186/s12911-020-01334-4
更新日期:2020-12-30 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
pub_type: 杂志文章
doi:10.1186/s12911-020-1038-y
更新日期:2020-02-07 00:00:00
abstract:BACKGROUND:Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, i...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0683-x
更新日期:2018-11-12 00:00:00
abstract:BACKGROUND:Diagnosis of neuromuscular diseases in primary care is often challenging. Rare diseases such as Pompe disease are easily overlooked by the general practitioner. We therefore aimed to develop a diagnostic support tool using patient-oriented questions and combined data mining algorithms recognizing answer patt...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,多中心研究
doi:10.1186/s12911-016-0268-5
更新日期:2016-03-08 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
pub_type: 杂志文章,评审
doi:10.1186/1472-6947-14-57
更新日期:2014-07-15 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
pub_type: 杂志文章
doi:10.1186/1472-6947-8-S1-S3
更新日期:2008-10-27 00:00:00
abstract:BACKGROUND:Electronic patient portals are increasingly being implemented, also in (haemato) oncology. However, portal usage is low and depends on user and provider engagement. We explored wishes, expectations and thoughts of patients with a haematologic malignancy and their physicians with regard to the electronic pati...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0868-y
更新日期:2019-07-11 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
pub_type: 杂志文章
doi:10.1186/1472-6947-13-97
更新日期:2013-08-30 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
pub_type: 杂志文章,随机对照试验
doi:10.1186/s12911-016-0394-0
更新日期:2016-11-25 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
pub_type: 杂志文章
doi:10.1186/1472-6947-10-59
更新日期:2010-10-14 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
pub_type: 杂志文章
doi:10.1186/1472-6947-9-48
更新日期:2009-12-01 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
pub_type: 杂志文章
doi:10.1186/1472-6947-6-2
更新日期:2006-01-06 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
pub_type: 杂志文章
doi:10.1186/s12911-018-0587-9
更新日期:2018-01-12 00:00:00
abstract:BACKGROUND:The use of measurement instruments has become a major issue in physical therapy, but their use in daily practice is rare. The aim of this paper is to describe adherence to standardized assessments by physical therapists using a complexity-based model for categorizing rehabilitation (CMCR) at the Clínica Alem...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0590-1
更新日期:2018-03-12 00:00:00
abstract:BACKGROUND:A pilot experimentation of a telemonitoring system for chronic care patients is conducted in the Bilbao Primary Care Health Region (Basque Country, Spain). It seems important to understand the factors related to healthcare professionals' acceptance of this new technology in order to inform its extension to t...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-12-139
更新日期:2012-11-30 00:00:00
abstract:BACKGROUND:Even small variations of serum sodium concentration may be associated with mortality. Our objective was to confirm the impact of borderline dysnatremia for patients admitted to hospital on in-hospital mortality using real life care data from our electronic health record (EHR) and a phenome-wide association a...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-017-0549-7
更新日期:2017-11-22 00:00:00
abstract:BACKGROUND:Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today's computers to have the property of learning. Machine learning is gradually growing and becoming a critical approach in many domains such as health, education, and bus...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0990-x
更新日期:2019-12-12 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
pub_type: 杂志文章
doi:10.1186/1472-6947-13-4
更新日期:2013-01-07 00:00:00
abstract:BACKGROUND:Little research has examined how physicians choose medical devices for treating individual patients to reveal if interventions are needed to support decision-making and reduce device-associated morbidity and mortality. This study explored factors that influence choice of implantable device from among availab...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-017-0577-3
更新日期:2017-12-22 00:00:00
abstract:BACKGROUND:Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01313-9
更新日期:2020-11-16 00:00:00
abstract:BACKGROUND:Different from adult clinical stage I (CS1) testicular cancer, surveillance has been recommended for CS1 pediatric testicular cancer. However, among high-risk children, more than 50% suffer a relapse and progression during surveillance, and adjuvant chemotherapy needs to be administered. Risk-adapted treatme...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01365-x
更新日期:2020-12-14 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
pub_type: 杂志文章
doi:10.1186/s12911-016-0245-z
更新日期:2016-01-22 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
pub_type: 杂志文章
doi:10.1186/1472-6947-10-64
更新日期:2010-10-22 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
pub_type: 杂志文章
doi:10.1186/s12911-017-0566-6
更新日期:2017-12-19 00:00:00
abstract:BACKGROUND:Informatics for Integrating Biology and the Bedside (i2b2) is an open source clinical data analytics platform used at over 200 healthcare institutions for querying patient data. The i2b2 platform has several components with numerous dependencies and configuration parameters, which renders the task of install...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0646-2
更新日期:2018-07-16 00:00:00
abstract:BACKGROUND:Virtual Reality has been extensively used in a wide range of psychological experiments. In this study, we aimed to introduce NeuroVirtual 3D, a platform that clinicians could use free of charge. IMPLEMENTATION:The platform we developed relies on NeuroVR software, but we extended it to apply to experiments. ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-016-0276-5
更新日期:2016-03-19 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
pub_type: 杂志文章
doi:10.1186/s12911-017-0559-5
更新日期:2017-12-20 00:00:00
abstract:BACKGROUND:Identifying subtypes of complex diseases such as cancer is the very first step toward developing highly customized therapeutics on such diseases, as their origins significantly vary even with similar physiological characteristics. There have been many studies to recognize subtypes of various cancer based on ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-016-0295-2
更新日期:2016-07-18 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
pub_type: 杂志文章
doi:10.1186/s12911-016-0294-3
更新日期:2016-07-18 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
pub_type: 杂志文章
doi:10.1186/1472-6947-6-32
更新日期:2006-07-27 00:00:00