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 …

[HTML][HTML] Knowledge based topic retrieval for recommendations and tourism promotions

RK Mishra, JAA Jothi, S Urolagin, K Irani - International Journal of …, 2023 - Elsevier
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 …

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 …

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 …

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 …

A user review data-driven supplier ranking model using aspect-based sentiment analysis and fuzzy theory

B Sun, X Song, W Li, L Liu, G Gong, Y Zhao - Engineering Applications of …, 2024 - Elsevier
Background: The supplier selection problem is a sophisticated decision-making process that
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

Z Jiang, L Zhang, L Zhang, B Wen - Energy, 2022 - Elsevier
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 …

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 …

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 …

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 …