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 directional relationships among high-dimensional drug combinations and have shown effectiveness on prediction of ADE risk. However, the existing approaches become inefficient from both computational and illustrative perspectives when considering more than three drugs. METHODS:We proposed an efficient approach to estimate the directional effects of high-order DDIs through frequent itemset mining, and further developed a novel visualization method to organize and present the high-order directional DDI effects involving more than three drugs in an interactive, concise and comprehensive manner. We demonstrated its performance by mining the directional DDIs associated with myopathy using a publicly available FAERS dataset. RESULTS:Directional effects of DDIs involving up to seven drugs were reported. Our analysis confirmed previously reported myopathy associated DDIs including interactions between fusidic acid with simvastatin and atorvastatin. Furthermore, we uncovered a number of novel DDIs leading to increased risk for myopathy, such as the co-administration of zoledronate with different types of drugs including antibiotics (ciprofloxacin, levofloxacin) and analgesics (acetaminophen, fentanyl, gabapentin, oxycodone). Finally, we visualized directional DDI findings via the proposed tool, which allows one to interactively select any drug combination as the baseline and zoom in/out to obtain both detailed and overall picture of interested drugs. CONCLUSIONS:We developed a more efficient data mining strategy to identify high-order directional DDIs, and designed a scalable tool to visualize high-order DDI findings. The proposed method and tool have the potential to contribute to the drug interaction research and ultimately impact patient health care. AVAILABILITY AND IMPLEMENTATION:http://lishenlab.com/d3i/explorer.html.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
Yao X,Tsang T,Sun Q,Quinney S,Zhang P,Ning X,Li L,Shen Ldoi
10.1186/s12911-020-1053-zsubject
Has Abstractpub_date
2020-03-18 00:00:00pages
50issue
Suppl 2issn
1472-6947pii
10.1186/s12911-020-1053-zjournal_volume
20pub_type
杂志文章abstract:BACKGROUND:Numerous types of digital health interventions (DHIs) are available to patients and the public but many factors affect their ability to engage and enrol in them. This systematic review aims to identify and synthesise the qualitative literature on barriers and facilitators to engagement and recruitment to DHI...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,评审
doi:10.1186/s12911-016-0359-3
更新日期:2016-09-15 00:00:00
abstract:BACKGROUND:EURIS (European Resistance Intervention Study) was launched as a multinational study in September of 2000 to identify the multitude of complex risk factors that contribute to the high carriage rate of drug resistant Streptococcus pneumoniae strains in children attending Day Care Centers in several European c...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-3-9
更新日期:2003-07-08 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: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
pub_type: 杂志文章
doi:10.1186/s12911-020-01174-2
更新日期:2020-07-03 00:00:00
abstract:BACKGROUND:The admission, discharge and transfer (ADT) module is used in the hospital information system (HIS) for the purposes of managing appointments, patient admission, daily control of hospital beds, planning surgery procedures, keeping up-to-date on patient discharges, and registering patient transfers within or ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0893-x
更新日期:2019-08-24 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
pub_type: 杂志文章
doi:10.1186/s12911-018-0664-0
更新日期:2018-10-16 00:00:00
abstract:BACKGROUND:We present a method utilizing Healthcare Cost and Utilization Project (HCUP) dataset for predicting disease risk of individuals based on their medical diagnosis history. The presented methodology may be incorporated in a variety of applications such as risk management, tailored health communication and decis...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-11-51
更新日期:2011-07-29 00:00:00
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: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
pub_type: 杂志文章
doi:10.1186/1472-6947-13-128
更新日期:2013-11-20 00:00:00
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-12-69
更新日期:2012-07-12 00:00:00
abstract:BACKGROUND:Fever is one of the most common symptoms of pediatric consultations and its mismanagement is a health care burden. Guidelines on fever management are incoherent and data on fever management are still missing. This study protocol describes an app-based registry to evaluate the fever management of parents. OB...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01269-w
更新日期:2020-10-01 00:00:00
abstract:BACKGROUND:Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated pathology reports. METHODS:We designed a new data model for representing biomarker knowledge. The ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0609-7
更新日期:2018-05-21 00:00:00
abstract:BACKGROUND:This study implemented and evaluated a point-of-care, wireless Internet access using smart phones for information retrieval during daily clinical rounds and academic activities of internal medicine residents in a community hospital. We did the project to assess the feasibility of using smart phones as an alt...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-7-5
更新日期:2007-02-21 00:00:00
abstract:BACKGROUND:Patients with a prolonged intensive care unit (ICU) length of stay account for a disproportionate amount of resource use. Early identification of patients at risk for a prolonged length of stay can lead to quality enhancements that reduce ICU stay. This study developed and validated a model that identifies p...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-10-27
更新日期:2010-05-13 00:00:00
abstract:BACKGROUND:Anesthesia side effects are almost inevitable in most situations. In order to optimize the anesthetic experience from the patient's viewpoint, it makes intuitive sense to attempt to avoid the side effects that the patient fears the most. METHODS:We obtained rankings and quantitative estimates of the relativ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-3-3
更新日期:2003-02-13 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
pub_type: 杂志文章
doi:10.1186/s12911-019-0796-x
更新日期:2019-03-18 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
pub_type: 社论
doi:10.1186/s12911-019-0855-3
更新日期:2019-08-08 00:00:00
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0864-2
更新日期:2019-07-25 00:00:00
abstract:BACKGROUND:Functional Magnetic Resonance Imaging (fMRI) has been proven to be useful for studying brain functions. However, due to the existence of noise and distortion, mapping between the fMRI signal and the actual neural activity is difficult. Because of the difficulty, differential pattern analysis of fMRI brain im...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-9-S1-S6
更新日期:2009-11-03 00:00:00
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,评审
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更新日期:2017-02-23 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
pub_type: 杂志文章
doi:10.1186/s12911-020-01334-4
更新日期:2020-12-30 00:00:00
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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
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-8-14
更新日期:2008-04-10 00:00:00
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
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更新日期:2020-07-09 00:00:00
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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
abstract:BACKGROUND:Percutaneous coronary intervention (PCI) is the most commonly performed treatment for coronary atherosclerosis. It is associated with a higher incidence of repeat revascularization procedures compared to coronary artery bypass grafting surgery. Recent results indicate that PCI is only cost-effective for a su...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-015-0131-0
更新日期:2015-02-14 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
pub_type: 杂志文章
doi:10.1186/1472-6947-12-125
更新日期:2012-11-07 00:00:00
abstract:BACKGROUND:Accumulating evidence has linked environmental exposure, such as ambient air pollution and meteorological factors, to the development and severity of cardiovascular diseases (CVDs), resulting in increased healthcare demand. Effective prediction of demand for healthcare services, particularly those associated...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
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更新日期:2020-05-01 00:00:00
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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: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
pub_type: 杂志文章
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更新日期:2021-01-28 00:00:00