A survey of recommendation systems: recommendation models, techniques, and application fields
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …
recommendation systems that are used in various service areas and the business aspects of …
[HTML][HTML] How machine learning is used to study addiction in digital healthcare: A systematic review
Long-term use of drugs can sometimes result in brain damage that greatly affects a person's
psychology and sometimes become indecent. This paper examines psychological disorders …
psychology and sometimes become indecent. This paper examines psychological disorders …
Prediction model using SMOTE, genetic algorithm and decision tree (PMSGD) for classification of diabetes mellitus
Diabetes mellitus is a well-known chronic disease that diminishes the insulin producing
capability of the human body. This results in high blood sugar level which might lead to …
capability of the human body. This results in high blood sugar level which might lead to …
The impact of big data on healthcare product development: A theoretical and analytical review
DO Ogundipe - International Medical Science Research Journal, 2024 - fepbl.com
The intersection of big data and healthcare product development has catalyzed
transformative shifts in the industry, revolutionizing how medical solutions are …
transformative shifts in the industry, revolutionizing how medical solutions are …
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
The incorporation of data analytics in the healthcare industry has made significant progress,
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
[PDF][PDF] Big data analytics for epidemic forecasting: Policy Frameworks and technical approaches
This review paper explores the intersection of big data analytics and epidemic forecasting,
highlighting both technical approaches and policy frameworks. It delves into data collection …
highlighting both technical approaches and policy frameworks. It delves into data collection …
Analysis of security and privacy issues of information management of big data in B2B based healthcare systems
BB Gupta, A Gaurav, PK Panigrahi - Journal of Business Research, 2023 - Elsevier
The healthcare industry may benefit from the implementation of a system that facilitates safe
and efficient data transmission if business-to-business (B2B) methods were more widely …
and efficient data transmission if business-to-business (B2B) methods were more widely …
Study for food recognition system using deep learning
Accurate dietary appraisal has been found by literature to be very significant in the
evaluation of weight loss treatments. Most current methods of dietary evaluation, however …
evaluation of weight loss treatments. Most current methods of dietary evaluation, however …
Improving coronavirus (COVID-19) diagnosis using deep transfer learning
Abstract Background: Coronavirus disease (COVID-19) is an infectious dis-ease caused by
a new virus. Exponential growth is not only threatening lives, but also impacting businesses …
a new virus. Exponential growth is not only threatening lives, but also impacting businesses …
Business intelligence in the era of big data: a review of analytical tools and competitive advantage
In the contemporary business landscape, the proliferation of Big Data has revolutionized the
way organizations gather, process, and utilize information for strategic decision-making. This …
way organizations gather, process, and utilize information for strategic decision-making. This …