Results 51 to 60 of about 23,764 (310)

Towards integration of artificial intelligence into medical devices as a real-time recommender system for personalised healthcare: State-of-the-art and future prospects

Health Sciences Review
In the era of big data, artificial intelligence (AI) algorithms have the potential to revolutionize healthcare by improving patient outcomes and reducing healthcare costs.
Talha Iqbal, Mehedi Masud, Bilal Amin, Conor Feely, Mary Faherty, Tim Jones, Michelle Tierney, Atif Shahzad, Patricia Vazquez   +8 more
doaj   +1 more source

Digital nudging with recommender systems: Survey and future directions

Computers in Human Behavior Reports, 2021
Recommender systems are nowadays a pervasive part of our online user experience, where they either serve as information filters or provide us with suggestions for additionally relevant content.
Mathias Jesse, Dietmar Jannach
doaj   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

Capturing knowledge of user preferences with recommender systems [PDF]

, 2003
Capturing user preferences is a problematic task. Simply asking the users what they want is too intrusive and prone to error, yet monitoring behaviour unobtrusively and finding meaningful patterns is both difficult and computationally time consuming ...
Middleton, Stuart Edward, Middleton, Stuart, Stuart Edward Middleton   +2 more
core  

Ontological User Profiling in Recommender Systems

, 2004
We explore a novel ontological approach to user profiling within recommender systems, working on the problem of recommending on-line academic research papers.
David C. De Roure, Middleton, SE, De Roure, D.C., Middleton, Stuart, Stuart E. Middleton, Roure, DD, Shadbolt, N.R., Nigel R. Shadbolt, Shadbolt, N   +8 more
core   +1 more source

Recommending twitter users to follow using content and collaborative filtering approaches [PDF]

, 2010
Paper presented at the 4th ACM Conference on Recommender Systems (RecSys 2010), Barcelona, Spain, September 26-30, 2010Recently the world of the web has become more social and more real-time.
Mike Bennett, Bennett, Mike, Barry Smyth, Hannon, John, Smyth, Barry, John Hannon   +5 more
core   +1 more source

Supporting Survivor‐Centered Care Through Digital Health Integration

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak, Rebecca Williamson‐Lewis, Michael O'Connor, Michael Palgon, Yu‐Ra Kim, Michael Schuckenbrock, Paula Edwards, Abraham Mendoza, Anthony Adams, Brian Arriaga‐Solis, Justin Parker, Harry Tinoco‐Giraldo, Jason King, C. Michael Fordis, Karen E. Effinger, Maria Monica Gramatges   +15 more
wiley   +1 more source

Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities

Applied Sciences, 2020
Recommender systems are widely used to provide users with recommendations based on their preferences. With the ever-growing volume of information online, recommender systems have been a useful tool to overcome information overload.
Zeshan Fayyaz, Mahsa Ebrahimian, Dina Nawara, Ahmed Ibrahim, Rasha Kashef   +4 more
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

A Neural Networks Approach for Improving the Accuracy of Multi-Criteria Recommender Systems

Applied Sciences, 2017
Accuracy improvement has been one of the most outstanding issues in the recommender systems research community. Recently, multi-criteria recommender systems that use multiple criteria ratings to estimate overall rating have been receiving considerable ...
Mohammed Hassan, Mohamed Hamada
doaj   +1 more source