[图书][B] Clinical text mining: Secondary use of electronic patient records
H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
A review of dataset and labeling methods for causality extraction
J Xu, W Zuo, S Liang, X Zuo - Proceedings of the 28th international …, 2020 - aclanthology.org
Causality represents the most important kind of correlation between events. Extracting
causali-ty from text has become a promising hot topic in NLP. However, there is no mature …
causali-ty from text has become a promising hot topic in NLP. However, there is no mature …
Drug-drug interaction relation extraction based on deep learning: A review
Drug-drug interaction (DDI) is an important part of drug development and
pharmacovigilance. At the same time, DDI is an important factor in treatment plan, effect of …
pharmacovigilance. At the same time, DDI is an important factor in treatment plan, effect of …
[HTML][HTML] Clinical relation extraction toward drug safety surveillance using electronic health record narratives: classical learning versus deep learning
T Munkhdalai, F Liu, H Yu - JMIR public health and …, 2018 - publichealth.jmir.org
Background: Medication and adverse drug event (ADE) information extracted from electronic
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …
health record (EHR) notes can be a rich resource for drug safety surveillance. Existing …
IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction
Determining drug–drug interactions (DDIs) is an important part of pharmacovigilance and
has a vital impact on public health. Compared with drug trials, obtaining DDI information …
has a vital impact on public health. Compared with drug trials, obtaining DDI information …
[HTML][HTML] The impact of pretrained language models on negation and speculation detection in cross-lingual medical text: comparative study
RR Zavala, P Martinez - JMIR medical informatics, 2020 - medinform.jmir.org
Background: Negation and speculation are critical elements in natural language processing
(NLP)-related tasks, such as information extraction, as these phenomena change the truth …
(NLP)-related tasks, such as information extraction, as these phenomena change the truth …
Similarity‐based machine learning support vector machine predictor of drug‐drug interactions with improved accuracies
D Song, Y Chen, Q Min, Q Sun, K Ye… - Journal of clinical …, 2019 - Wiley Online Library
What is known and objective Drug‐drug interactions (DDI) are frequent causes of adverse
clinical drug reactions. Efforts have been directed at the early stage to achieve accurate …
clinical drug reactions. Efforts have been directed at the early stage to achieve accurate …
Big data and causality
H Hassani, X Huang, M Ghodsi - Annals of Data Science, 2018 - Springer
Causality analysis continues to remain one of the fundamental research questions and the
ultimate objective for a tremendous amount of scientific studies. In line with the rapid …
ultimate objective for a tremendous amount of scientific studies. In line with the rapid …
Automated discovery of safety and efficacy concerns for joint & muscle pain relief treatments from online reviews
DZ Adams, R Gruss, AS Abrahams - International journal of medical …, 2017 - Elsevier
Objectives Product issues can cost companies millions in lawsuits and have devastating
effects on a firm's sales, image and goodwill, especially in the era of social media. The ability …
effects on a firm's sales, image and goodwill, especially in the era of social media. The ability …
[HTML][HTML] Using neural attention networks to detect adverse medical events from electronic health records
Abstract The detection of Adverse Medical Events (AMEs) plays an important role in disease
management in ensuring efficient treatment delivery and quality improvement of health …
management in ensuring efficient treatment delivery and quality improvement of health …