Deep medical entity recognition for Swedish and Spanish
R Weegar, A Pérez, A Casillas… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Clinical texts, although challenging to process, are rich in valuable information, and named
entity recognition is an important element in any system designed to extract relevant …
entity recognition is an important element in any system designed to extract relevant …
An automated method to extract information in the biomedical literature about interactions between drugs
D Mahendran, RD Nawarathna - 2016 sixteenth international …, 2016 - ieeexplore.ieee.org
Text mining techniques are useful in extracting hidden information about the biomedical
interactions such as Protein-Protein, Drug-Drug and Protein-Drug. Recently, there is an …
interactions such as Protein-Protein, Drug-Drug and Protein-Drug. Recently, there is an …
Feature-based learning in drug prescription system for medical clinics
Rapid increases in data volume and variety pose a challenge to safe drug prescription for
health professionals like doctors and dentists. This is addressed by our study, which …
health professionals like doctors and dentists. This is addressed by our study, which …
Concept attribute labeling and context-aware named entity recognition in electronic health records
A Pomares-Quimbaya, RA Gonzalez… - International Journal of …, 2018 - igi-global.com
Extracting valuable knowledge from Electronic Health Records (EHR) represents a
challenging task due to the presence of both structured and unstructured data, including …
challenging task due to the presence of both structured and unstructured data, including …
Social media induced transformations in healthcare: a data perspective
Technological advancements and their adaptation have made social media one of the most
used platforms for sharing ideas and expressing views and experiences. Fields like finance …
used platforms for sharing ideas and expressing views and experiences. Fields like finance …
Detecting potential adverse drug reactions from health-related social networks
In recent years, adverse drug reactions have drawn more and more attention from the public,
which may lead to great damage to the public health and cause massive economic losses to …
which may lead to great damage to the public health and cause massive economic losses to …
Applications of clinical text mining
H Dalianis, H Dalianis - Clinical Text Mining: Secondary Use of Electronic …, 2018 - Springer
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SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart Book …
SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart Book …
Augmenting a Spanish clinical dataset for transformer-based linking of negations and their out-of-scope references
A negated statement consists of three main components: the negation cue, the negation
scope, and the negation reference. The negation cue is the indicator of negation, while the …
scope, and the negation reference. The negation cue is the indicator of negation, while the …
[PDF][PDF] DIAGNOSIS AND PROGNOSIS OF OCCUPATIONAL DISORDERS BASED ON MACHINE LEARNING TECHNIQUES APPLIED TO OCCUPATIONAL …
N MOLLAEI - 2022 - run.unl.pt
Work-related disorders have a global influence on people's well-being and quality of life and
are a financial burden for organizations because they reduce productivity, increase …
are a financial burden for organizations because they reduce productivity, increase …
Mining drug properties for decision support in dental clinics
The rise of polypharmacy requires from health providers an awareness of a patient's drug
profile before prescribing. Existing methods to extract information on drug interactions do not …
profile before prescribing. Existing methods to extract information on drug interactions do not …