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 learning methods. METHODS:In this study, we propose a new approach which combines rule-based features and knowledge-guided deep learning models for effective disease classification. Critical Steps of our method include recognizing trigger phrases, predicting classes with very few examples using trigger phrases and training a convolutional neural network (CNN) with word embeddings and Unified Medical Language System (UMLS) entity embeddings. RESULTS:We evaluated our method on the 2008 Integrating Informatics with Biology and the Bedside (i2b2) obesity challenge. The results demonstrate that our method outperforms the state-of-the-art methods. CONCLUSION:We showed that CNN model is powerful for learning effective hidden features, and CUIs embeddings are helpful for building clinical text representations. This shows integrating domain knowledge into CNN models is promising.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
Yao L,Mao C,Luo Ydoi
10.1186/s12911-019-0781-4subject
Has Abstractpub_date
2019-04-04 00:00:00pages
71issue
Suppl 3issn
1472-6947pii
10.1186/s12911-019-0781-4journal_volume
19pub_type
杂志文章abstract：BACKGROUND:Jurisdictional drug information systems are being implemented in many regions around the world. British Columbia, Canada has had a provincial medication dispensing record, PharmaNet, system since 1995. Little is known about how accurately PharmaNet reflects actual medication usage. METHODS:This prospective,...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章,多中心研究
doi：10.1186/1472-6947-12-42
更新日期：2012-05-23 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:Electronic medical records (EMRs) contain a variety of valuable medical concepts and relations. The ability to recognize relations between medical concepts described in EMRs enables the automatic processing of clinical texts, resulting in an improved quality of health-related data analysis. Driven by the 201...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章
doi：10.1186/s12911-019-0769-0
更新日期：2019-04-09 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
pub_type： 杂志文章
doi：10.1186/1472-6947-12-S1-S5
更新日期：2012-04-30 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: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
pub_type： 杂志文章
doi：10.1186/s12911-019-0998-2
更新日期：2019-12-10 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
pub_type： 杂志文章
doi：10.1186/1472-6947-11-4
更新日期：2011-01-25 00:00:00
abstract：BACKGROUND:The purpose of this study was to assess the impact of accessing primary care records on unscheduled care. Unscheduled care is typically delivered in hospital Emergency Departments. Studies published to December 2014 reporting on primary care record access during unscheduled care were retrieved. RESULTS:Twen...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章,评审
doi：10.1186/s12911-017-0523-4
更新日期：2017-09-22 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
pub_type： 杂志文章
doi：10.1186/s12911-020-01246-3
更新日期：2020-09-15 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: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:Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adoption due to characteristics such as sensitive data and high cost of failure. A framework for the desi...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章
doi：10.1186/s12911-020-1028-0
更新日期：2020-03-12 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
pub_type： 杂志文章,随机对照试验
doi：10.1186/s12911-015-0214-y
更新日期：2015-11-14 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:Despite advances in diagnosis and treatment of type 2 diabetes, suboptimal metabolic control persists. Patient education in diabetes has been proved to enhance self-efficacy and guideline-driven treatment, however many people with type 2 diabetes do not have access to or do not participate in self-management...
journal_title：BMC medical informatics and decision making
pub_type： 临床试验,杂志文章
doi：10.1186/s12911-016-0383-3
更新日期：2016-11-09 00:00:00
abstract：BACKGROUND:Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment has been limited due to uncertainty about their performance when applied to new ...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章
doi：10.1186/s12911-020-1026-2
更新日期：2020-01-30 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:Geriatric patients frequently undergo emergency general surgery and accrue a greater risk of postoperative complications and fatal outcomes than the general population. It is highly relevant to develop the most appropriate care measures and to guide patient-centered decision-making around end-of-life care. P...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章
doi：10.1186/s12911-020-1100-9
更新日期：2020-05-07 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
pub_type： 杂志文章
doi：10.1186/s12911-020-1117-0
更新日期：2020-07-09 00:00:00
abstract：BACKGROUND:High levels of adherence to medications for HIV infection are essential for optimal clinical outcomes and to reduce viral transmission, but many patients do not achieve required levels. Clinician-delivered interventions can improve patients' adherence, but usually require substantial effort by trained indivi...
journal_title：BMC medical informatics and decision making
pub_type： 临床试验,杂志文章
doi：10.1186/1472-6947-13-29
更新日期：2013-02-28 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
pub_type： 杂志文章
doi：10.1186/s12911-017-0433-5
更新日期：2017-04-26 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
pub_type： 杂志文章
doi：10.1186/1472-6947-13-S1-S1
更新日期：2013-01-01 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
pub_type： 杂志文章
doi：10.1186/s12911-020-1031-5
更新日期：2020-01-30 00:00:00
abstract：BACKGROUND:The widespread use of electronic health records (EHRs) has generated massive clinical data storage. Association rules mining is a feasible technique to convert this large amount of data into usable knowledge for clinical decision making, research or billing. We present a data driven method to create a knowle...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章
doi：10.1186/s12911-015-0151-9
更新日期：2015-04-15 00:00:00
abstract：BACKGROUND:Hand hygiene is one of the most effective attempts to control nosocomial infections, and it is an important measure to avoid the transmission of pathogens. However, the compliance of healthcare workers (HCWs) with hand washing is still poor worldwide. Herein, we aimed to determine the best hand hygiene prefe...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章
doi：10.1186/s12911-017-0528-z
更新日期：2017-08-31 00:00:00
abstract：BACKGROUND:Particularly in the context of severe diseases like cancer, many patients wish to include caregivers in the planning of treatment and care. Many caregivers like to be involved but feel insufficiently enabled. This study aimed at providing insight into patients' and caregivers' perspectives on caregivers' rol...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章
doi：10.1186/s12911-020-01172-4
更新日期：2020-07-13 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: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
pub_type： 杂志文章
doi：10.1186/s12911-015-0132-z
更新日期：2015-02-07 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
pub_type： 杂志文章
doi：10.1186/1472-6947-14-98
更新日期：2014-12-23 00:00:00
abstract：BACKGROUND:Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment. In this study, we designed a multi-level hypoglycemia early alarm system to mine potential information in Continuous Glucose Monitoring (CGM...
journal_title：BMC medical informatics and decision making
pub_type： 杂志文章
doi：10.1186/s12911-021-01389-x
更新日期：2021-01-21 00:00:00
