A review of existing and emerging digital technologies to combat the global trade in fake medicines
TK Mackey, G Nayyar - Expert opinion on drug safety, 2017 - Taylor & Francis
Introduction: The globalization of the pharmaceutical supply chain has introduced new
challenges, chief among them, fighting the international criminal trade in fake medicines. As …
challenges, chief among them, fighting the international criminal trade in fake medicines. As …
[HTML][HTML] Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Objective Temporal electronic health records (EHRs) contain a wealth of information for
secondary uses, such as clinical events prediction and chronic disease management …
secondary uses, such as clinical events prediction and chronic disease management …
A multicenter random forest model for effective prognosis prediction in collaborative clinical research network
Background The accuracy of a prognostic prediction model has become an essential aspect
of the quality and reliability of the health-related decisions made by clinicians in modern …
of the quality and reliability of the health-related decisions made by clinicians in modern …
[HTML][HTML] Learning from heterogeneous temporal data in electronic health records
Electronic health records contain large amounts of longitudinal data that are valuable for
biomedical informatics research. The application of machine learning is a promising …
biomedical informatics research. The application of machine learning is a promising …
[HTML][HTML] Identifying adverse drug event information in clinical notes with distributional semantic representations of context
For the purpose of post-marketing drug safety surveillance, which has traditionally relied on
the voluntary reporting of individual cases of adverse drug events (ADEs), other sources of …
the voluntary reporting of individual cases of adverse drug events (ADEs), other sources of …
Informative presence and observation in routine health data: a review of methodology for clinical risk prediction
Objective Informative presence (IP) is the phenomenon whereby the presence or absence of
patient data is potentially informative with respect to their health condition, with informative …
patient data is potentially informative with respect to their health condition, with informative …
Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review
IAR Yasrebi-de Kom, DA Dongelmans… - Journal of the …, 2023 - academic.oup.com
Objective We conducted a systematic review to characterize and critically appraise
developed prediction models based on structured electronic health record (EHR) data for …
developed prediction models based on structured electronic health record (EHR) data for …
A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records
F Bagattini, I Karlsson, J Rebane… - BMC medical informatics …, 2019 - Springer
Abstract Background Adverse drug events (ADEs) as well as other preventable adverse
events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in …
events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in …
Evaluation of electronic healthcare databases for post-marketing drug safety surveillance and pharmacoepidemiology in China
Y Yang, X Zhou, S Gao, H Lin, Y Xie, Y Feng, K Huang… - Drug safety, 2018 - Springer
Abstract Introduction Electronic healthcare databases (EHDs) are used increasingly for post-
marketing drug safety surveillance and pharmacoepidemiology in Europe and North …
marketing drug safety surveillance and pharmacoepidemiology in Europe and North …
Artificial intelligence in pharmacoepidemiology: a systematic review. Part 1—overview of knowledge discovery techniques in artificial intelligence
Aim To perform a systematic review on the application of artificial intelligence (AI) based
knowledge discovery techniques in pharmacoepidemiology. Study Eligibility Criteria Clinical …
knowledge discovery techniques in pharmacoepidemiology. Study Eligibility Criteria Clinical …