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Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives
XU Duo, XU Zeshui - Artificial Intelligence in Medicine, 2024 - Elsevier
Artificial intelligence is constantly revolutionizing biomedical research and healthcare
management. Disease comorbidity is a major threat to the quality of life for susceptible …
management. Disease comorbidity is a major threat to the quality of life for susceptible …
[HTML][HTML] Knowledge based topic retrieval for recommendations and tourism promotions
The Users regularly share their views on services through internet reviews. Digital tourism
allows travelers to plan and manage their trips ahead of time using the internet. The …
allows travelers to plan and manage their trips ahead of time using the internet. The …
Data-driven multi-criteria decision support method for electric vehicle selection
Z Tian, H Liang, R Nie, X Wang, J Wang - Computers & Industrial …, 2023 - Elsevier
Electric vehicles (EVs) are becoming one of the most popular forms of low-carbon
transportations due to growing awareness of environmental protection and vigorous …
transportations due to growing awareness of environmental protection and vigorous …
One-dimensional VGGNet for high-dimensional data
S Feng, L Zhao, H Shi, M Wang, S Shen, W Wang - Applied Soft Computing, 2023 - Elsevier
We consider a deep learning model for classifying high-dimensional data and seek to
achieve optimal evaluation accuracy and robustness based on multicriteria decision-making …
achieve optimal evaluation accuracy and robustness based on multicriteria decision-making …
Ranking products through online reviews considering the mass assignment of features based on BERT and q-rung orthopair fuzzy set theory
S Yin, Y Wang, S Shafiee - Expert Systems with Applications, 2023 - Elsevier
A product ranking method is an effective tool that can analyze a significant number of online
product reviews to recommend suitable products to consumers. However, existing product …
product reviews to recommend suitable products to consumers. However, existing product …
A user review data-driven supplier ranking model using aspect-based sentiment analysis and fuzzy theory
Background: The supplier selection problem is a sophisticated decision-making process that
involves evaluating multiple factors. While previous research has primarily focused on …
involves evaluating multiple factors. While previous research has primarily focused on …
Investor sentiment and machine learning: Predicting the price of China's crude oil futures market
Sentiment analysis technology has made it possible to precisely calculate the daily reactions
and opinions of investors, which has been found to have a significant influence on financial …
and opinions of investors, which has been found to have a significant influence on financial …
Analyzing healthcare and wellness products' Quality embedded in online customer reviews: Assessment with a hybrid fuzzy LMAW and fermatean fuzzy WASPAS …
Ç Sıcakyüz - Sustainability, 2023 - mdpi.com
With the high impetus in global digitization, online shop** (OS) is anticipated to increase
further in the near future. Contrary to this anticipation, however, recent studies have …
further in the near future. Contrary to this anticipation, however, recent studies have …
Product attribute and heterogeneous sentiment analysis-based evaluation to support online personalized consumption decisions
Z Yang, Q Li, N Islam, C Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To effectively address challenges that stem from e-commerce, it is crucial to harness diverse
review data from e-commerce platforms. These data support consumers in making informed …
review data from e-commerce platforms. These data support consumers in making informed …
Modeling customer satisfaction and revisit intention from online restaurant reviews: an attribute-level analysis
F Zhao, H Liu - Industrial Management & Data Systems, 2023 - emerald.com
Purpose The purpose of this paper is to detect predefined service attributes and their
sentiments from online restaurant reviews, and then to measure the effects of customer …
sentiments from online restaurant reviews, and then to measure the effects of customer …