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Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022
Much of the knowledge and information needed for enabling high-quality clinical research is
stored in free-text format. Natural language processing (NLP) has been used to extract …
stored in free-text format. Natural language processing (NLP) has been used to extract …
Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review
M Khanbhai, P Anyadi, J Symons… - BMJ Health & Care …, 2021 - pmc.ncbi.nlm.nih.gov
Objectives Unstructured free-text patient feedback contains rich information, and analysing
these data manually would require a lot of personnel resources which are not available in …
these data manually would require a lot of personnel resources which are not available in …
[HTML][HTML] Patient satisfaction and hospital quality of care evaluation in malaysia using servqual and facebook
Social media sites, dubbed patient online reviews (POR), have been proposed as new
methods for assessing patient satisfaction and monitoring quality of care. However, the …
methods for assessing patient satisfaction and monitoring quality of care. However, the …
Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI …
Background Evaluating patients' experiences is essential when incorporating the patients'
perspective in improving healthcare. Experiences are mainly collected using closed-ended …
perspective in improving healthcare. Experiences are mainly collected using closed-ended …
Construction of an aspect-level sentiment analysis model for online medical reviews
Y Zhao, L Zhang, C Zeng, W Lu, Y Chen… - Information Processing & …, 2023 - Elsevier
Online medical services have become increasingly popular, and patient feedback can
significantly influence other patients' medical decision-making. This study utilizes a double …
significantly influence other patients' medical decision-making. This study utilizes a double …
[PDF][PDF] Enhancing patient experience by automating and transforming free text into actionable consumer insights: a natural language processing (NLP) approach
E Vashishtha, H Kapoor - International Journal of Health Sciences …, 2023 - researchgate.net
Background: The digitalization of healthcare has expanded patient access to care delivery
through various virtual platforms. These platforms accumulate a wealth of patient feedback …
through various virtual platforms. These platforms accumulate a wealth of patient feedback …
What patients say: large-scale analyses of replies to the Parkinson's disease patient report of problems (PD-PROP)
C Marras, L Arbatti, A Hosamath… - Journal of …, 2023 - journals.sagepub.com
Background: Free-text, verbatim replies in the words of people with Parkinson's disease
(PD) have the potential to provide unvarnished information about their feelings and …
(PD) have the potential to provide unvarnished information about their feelings and …
[PDF][PDF] Analyzing narratives of patient experiences: A bert topic modeling approach
Due to healthcare systems increased focus on healthcare quality and patientcentered care,
the patients' perspective of delivered healthcare, has become an important part of …
the patients' perspective of delivered healthcare, has become an important part of …
[HTML][HTML] Assessing patient-perceived hospital service quality and sentiment in malaysian public hospitals using machine learning and facebook reviews
Social media is emerging as a new avenue for hospitals and patients to solicit input on the
quality of care. However, social media data is unstructured and enormous in volume …
quality of care. However, social media data is unstructured and enormous in volume …