[HTML][HTML] A picture fuzzy set multi criteria decision-making approach to customize hospital recommendations based on patient feedback
Sentiment analysis techniques have allowed exploiting the information available in millions
of opinions conveyed through different Internet services. One example would be the multiple …
of opinions conveyed through different Internet services. One example would be the multiple …
[HTML][HTML] A 2-tuple fuzzy linguistic model for recommending health care services grounded on aspect-based sentiment analysis
Evaluating the quality of health care systems usually entails the examination of objective
variables (waiting time, patients per doctor, etc.). Nonetheless, other subjective variables …
variables (waiting time, patients per doctor, etc.). Nonetheless, other subjective variables …
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 …
[HTML][HTML] Understanding what patients think about hospitals: A deep learning approach for detecting emotions in patient opinions
Introduction Most hospital assessment systems are based on the study of objective statistical
variables as well as patient opinions on their experiences with respect to the services …
variables as well as patient opinions on their experiences with respect to the services …
The use of multiple criteria decision aiding methods in recommender systems: a literature review
Abstract Multiple Criteria Decision Making (MCDA) methods have been increasingly applied
to improve recommendations when multiple criteria are considered in Recommender …
to improve recommendations when multiple criteria are considered in Recommender …
How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining
To assess the overall experience of a patient in a hospital, many factors must be analyzed;
nonetheless, one of the key aspects is the performance of nurses as they closely interact …
nonetheless, one of the key aspects is the performance of nurses as they closely interact …
Sentiment analysis on labeled and unlabeled datasets using BERT architecture
Sentiment analysis (SA) is the study of human perception in any subject of practice. It
retrieves data from datasets using natural language processing (NLP) methodologies and …
retrieves data from datasets using natural language processing (NLP) methodologies and …
A method for the competitiveness estimation of the incremental new product through user-generated content
YM Ma, XH Zhu, PP Cao, MY Li - Decision Support Systems, 2024 - Elsevier
The current dynamic market environment challenges successful incremental new product
(INP) launches, compelling enterprise managers to promptly recognize and respond to …
(INP) launches, compelling enterprise managers to promptly recognize and respond to …
An integrated decision framework for evaluating and recommending health care services
Quality management techniques such as the quality function deployment model can help
hospitals assess and improve the quality of their services by integrating the voice of …
hospitals assess and improve the quality of their services by integrating the voice of …
What is the Consumer Attitude toward Healthcare Services? A Transfer Learning Approach for Detecting Emotions from Consumer Feedback.
The capability of offering patient-centered healthcare services involves knowing the
consumer needs. Many of these needs can be conveyed through opinions about services …
consumer needs. Many of these needs can be conveyed through opinions about services …