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[HTML][HTML] Capturing the patient's perspective: a review of advances in natural language processing of health-related text
Background: Natural Language Processing (NLP) methods are increasingly being utilized to
mine knowledge from unstructured health-related texts. Recent advances in noisy text …
mine knowledge from unstructured health-related texts. Recent advances in noisy text …
Sentiment analysis from unstructured hotel reviews data in social network using deep learning techniques
The Internet is benefiting the people to access and provide information. One of the platforms
to share the information is online social networks such as blogs, Facebook, and Twitter …
to share the information is online social networks such as blogs, Facebook, and Twitter …
Making sense of big textual data for health care: findings from the section on clinical natural language processing
Objectives: To summarize recent research and present a selection of the best papers
published in 2016 in the field of clinical Natural Language Processing (NLP). Method: A …
published in 2016 in the field of clinical Natural Language Processing (NLP). Method: A …
Sentiment drivers of hotel customers: a hybrid approach using unstructured data from online reviews
Purpose With the growth of social media and online communications, consumers are
becoming more informed about hotels' services than ever before. They are writing online …
becoming more informed about hotels' services than ever before. They are writing online …
[HTML][HTML] A novel method for drug-adverse event extraction using machine learning
K Negi, A Pavuri, L Patel, C Jain - Informatics in Medicine Unlocked, 2019 - Elsevier
Background An extensive amount of data derived from medical case reports regarding
potential adverse events is subjected to manual review. Devising efficient strategies for …
potential adverse events is subjected to manual review. Devising efficient strategies for …
Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA …
Objective Apply natural language processing (NLP) to Amazon consumer reviews to identify
adverse events (AEs) associated with unapproved over the counter (OTC) homeopathic …
adverse events (AEs) associated with unapproved over the counter (OTC) homeopathic …
Data-driven sizing specification utilizing consumer text reviews
R Chaklader, MB Parkinson - Journal of …, 2017 - asmedigitalcollection.asme.org
The objective of this work is to introduce a new method for determining preliminary design
specifications related to human-artifact interaction. This new method uses data mining of …
specifications related to human-artifact interaction. This new method uses data mining of …
Multi-label text mining to identify reasons for appointments to drive population health analytics at a primary care setting
While much research has been conducted regarding population health analytics (PHA),
there is limited research related to text mining in that area. In this research, a novel multi …
there is limited research related to text mining in that area. In this research, a novel multi …
Dietary supplements, harm associated with synthetic adulterants and potential governance solutions
Intentional adulteration of dietary supplements with undeclared synthetic drugs illegally
enhances the supplement's purported efficacy and is a growing global crime issue that can …
enhances the supplement's purported efficacy and is a growing global crime issue that can …
Secondary use of recorded or self-expressed personal data: consumer health informatics and education in the era of social media and health apps
Objective: To summarize the state of the art during the year 2016 in the areas related to
consumer health informatics and education with a special emphasis in secondary use of …
consumer health informatics and education with a special emphasis in secondary use of …