[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
Recommender systems in the healthcare domain: state-of-the-art and research issues
Nowadays, a vast amount of clinical data scattered across different sites on the Internet
hinders users from finding helpful information for their well-being improvement. Besides, the …
hinders users from finding helpful information for their well-being improvement. Besides, the …
A systematic review of healthcare recommender systems: Open issues, challenges, and techniques
M Etemadi, SB Abkenar, A Ahmadzadeh… - Expert Systems with …, 2023 - Elsevier
Background The maintenance of health through prevention, diagnosis, and treatment of
illnesses, injuries, and other mental and physical impairments in people is called healthcare …
illnesses, injuries, and other mental and physical impairments in people is called healthcare …
Mining electronic health records (EHRs) A survey
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization
Nowadays, crowd-sourced review websites provide decision support for various aspects of
daily life, including shop**, local services, healthcare, etc. However, one of the most …
daily life, including shop**, local services, healthcare, etc. However, one of the most …
Promises and challenges of big data computing in health sciences
With the development of smart devices and cloud computing, more and more public health
data can be collected from various sources and can be analyzed in an unprecedented way …
data can be collected from various sources and can be analyzed in an unprecedented way …
A comprehensive survey on trustworthy recommender systems
As one of the most successful AI-powered applications, recommender systems aim to help
people make appropriate decisions in an effective and efficient way, by providing …
people make appropriate decisions in an effective and efficient way, by providing …
Item-side Fairness of Large Language Model-based Recommendation System
Recommendation systems for Web content distribution intricately connect to the information
access and exposure opportunities for vulnerable populations. The emergence of Large …
access and exposure opportunities for vulnerable populations. The emergence of Large …
A systematic review of healthcare big data
R Raja, I Mukherjee, BK Sarkar - Scientific programming, 2020 - Wiley Online Library
Over the past decade, data recorded (due to digitization) in healthcare sectors have
continued to increase, intriguing the thought about big data in healthcare. There already …
continued to increase, intriguing the thought about big data in healthcare. There already …
Big data for healthcare: a survey
Recently, the massification of new technologies, which has been adopted by a large majority
of the world population, has accumulated a tremendous amount of data, including clinical …
of the world population, has accumulated a tremendous amount of data, including clinical …