Mar 25, 2021 · A semi-supervised training process was utilized to recommend appropriate bone implant material ratio (Si-HA:Ag-HA) for each patient to improve the bone disease ...

Dec 31, 2022 · The proposed recommendation system could achieve high accuracy ( 92.2 % ) and efficiency (using only 10 % of labeled data) on test dataset, ...

Mar 13, 2021 · The proposed recommendation system could achieve high accuracy ( 92.2 % 92.2\% ) and efficiency (using only 10 % 10\% of labeled data) on test ...

Semi-supervised recommender system for bone implant ratio recommendation · List of references · Publications that cite this publication.

The proposed recommendation system could achieve high accuracy ( $$92.2\%$$ ) and efficiency (using only $$10\%$$ of labeled data) on test dataset, which could ...

Maryam et al. [46] proposed a semi-supervised score-based enhancement method that utilizes the inherent features of collaborative filtering algorithms to assess ...

Semi-supervised recommender system for bone implant ratio recommendation. X Qiu, X Tan, F Yan, Q Su, J Chen, X Jiang. Journal of Ambient Intelligence and ...

Apr 11, 2023 · Qiu et al. (2021) present a semi-supervised recommender system for bone implant ratio recommendation. Some other AI models can be used in ...

Balancing therapeutic effect and safety in ventilator parameter recommendation ... Readers: Everyone. Semi-supervised recommender system for bone implant ratio ...

Qiu, X., Tan, X., Yan, F., Su, Q., Chen, J., & Jiang, X. (2021). Semi-supervised recommender system for bone implant ratio recommendation. Journal of ...