Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery
Sign Up to like & getrecommendations! Published in 2020 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.106825
Abstract: Abstract Despite the recent advances on intelligent data-driven machinery fault diagnostics, large amounts of high-quality supervised data are mostly required for model training. However, it is usually difficult and expensive to collect sufficient labeled data… read more here.
Keywords: diagnosis method; fault; unsupervised data; method ... See more keywords
Unsupervised Data Mining and Effect of Fast Rehabilitation Nursing Intervention in Fracture Surgery
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/7087844
Abstract: At present, the most commonly used surgical treatment for fractures caused by external force injury is clinical, and unsupervised data mining is more advantageous in the face of the unknown format of perioperative network data.… read more here.
Keywords: fracture; nursing; surgery; unsupervised data ... See more keywords
Phenomapping of subgroups in hypertensive patients using unsupervised data-driven cluster analysis: An exploratory study of the SPRINT trial
Sign Up to like & getrecommendations! Published in 2019 at "European Journal of Preventive Cardiology"
DOI: 10.1177/2047487319856733
Abstract: Background Hypertensive patients are highly heterogeneous in cardiovascular prognosis and treatment responses. A better classification system with phenomapping of clinical features would be of greater value to identify patients at higher risk of developing cardiovascular… read more here.
Keywords: driven cluster; unsupervised data; treatment; data driven ... See more keywords