Association of the USPSTF Grade D Recommendation Against Prostate-Specific Antigen Screening With Prostate Cancer–Specific Mortality
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DOI: 10.1001/jamanetworkopen.2022.11869
Abstract: Key Points Question Was the 2012 US Preventive Services Task Force (USPSTF) Grade D recommendation against prostate-specific antigen (PSA) screening for all men associated with prostate cancer–specific mortality (PCSM)? Findings This cross-sectional study found statistically… read more here.
Keywords: uspstf grade; recommendation; prostate; grade recommendation ... See more keywords
Striking the Right Balance With Prostate Cancer Screening.
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DOI: 10.1001/jamanetworkopen.2022.2174
Abstract: Desai and colleagues,1 analyzing Surveillance, Epidemiology, and End Results data from 2004 through 2018, found significantly increasing incidence rates of metastatic prostate cancer (mPCa) among men aged 45 to 74 years (during the period 2010-2018)… read more here.
Keywords: recommendation; incidence; prostate; pca ... See more keywords
National Trends in Prostate Biopsy and Radical Prostatectomy Volumes Following the US Preventive Services Task Force Guidelines Against Prostate-Specific Antigen Screening
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DOI: 10.1001/jamasurg.2016.3987
Abstract: Importance Studies demonstrate that use of prostate-specific antigen screening decreased significantly following the US Preventive Services Task Force (USPSTF) recommendation against prostate-specific antigen screening in 2012. Objective To determine downstream effects on practice patterns in… read more here.
Keywords: recommendation; volume; antigen screening; prostate specific ... See more keywords
Evaluation of context‐aware recommendation systems for information re‐finding
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DOI: 10.1002/asi.23717
Abstract: In this article we evaluate context‐aware recommendation systems for information re‐finding by knowledge workers. We identify 4 criteria that are relevant for evaluating the quality of knowledge worker support: context relevance, document relevance, prediction of… read more here.
Keywords: recommendation; context; information finding; aware recommendation ... See more keywords
Hierarchical attention model for personalized tag recommendation
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DOI: 10.1002/asi.24400
Abstract: With the development of Web‐based social networks, many personalized tag recommendation approaches based on multi‐information have been proposed. Due to the differences in users' preferences, different users care about different kinds of information. In the… read more here.
Keywords: tag recommendation; recommendation; information; personalized tag ... See more keywords
Adaptive recommendation for MOOC with collaborative filtering and time series
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DOI: 10.1002/cae.21995
Abstract: Massive Open Online Course (MOOC) has developed rapidly in recent years. However, the low satisfaction and the feelings of loneliness tend to cause more dropouts. A solution called Adaptive Recommendation for MOOC (ARM) is proposed… read more here.
Keywords: collaborative filtering; recommendation; recommendation mooc; adaptive recommendation ... See more keywords
An OWA‐Based Ranking Approach for University Books Recommendation
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DOI: 10.1002/int.21937
Abstract: Generally the book recommendation approaches are personalized in nature, that is, they utilize the users’ purchasing behavior to recommend them the book similar to their preferences. The main problem with the personalized recommendation is its… read more here.
Keywords: recommendation; owa based; ranking approach; approach ... See more keywords
Multicriteria recommendation based on bacterial foraging optimization
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DOI: 10.1002/int.22688
Abstract: Recommender systems assist users to make decisions among a huge volume of options. Accuracy‐oriented recommender systems focus on the prediction power of algorithms and neglect that users may appreciate diverse and novel recommendations in real‐world… read more here.
Keywords: bacterial foraging; recommendation based; optimization; foraging optimization ... See more keywords
A two‐phase knowledge distillation model for graph convolutional network‐based recommendation
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DOI: 10.1002/int.22819
Abstract: Graph convolutional network (GCN)‐based recommendation has recently attracted significant attention in the recommender system community. Although current studies propose various GCNs to improve recommendation performance, existing methods suffer from two main limitations. First, user–item interaction… read more here.
Keywords: distillation; recommendation; knowledge distillation; model ... See more keywords
[German S3 guidelines on bipolar disorders-first update 2019 : What is new in pharmacotherapy?]
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DOI: 10.1007/s00115-019-00852-5
Abstract: BACKGROUND German S3 guidelines are subject to the highest methodological standards. This includes that they are only valid for a certain time period. Following the first edition in 2012 the first update of the S3 guidelines… read more here.
Keywords: recommendation; treatment; update 2019; first update ... See more keywords
Convolutional networks for appearance-based recommendation and visualisation of mascara products
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DOI: 10.1007/s00138-019-01053-5
Abstract: In this work, we explore the problems of recommending and visualising makeup products based on images of customers. Focusing on mascara, we propose a two-stage approach that first recommends products to a new customer based… read more here.
Keywords: recommendation; convolutional networks; visualisation; product ... See more keywords