ロード中...
Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models
Pattern recognition methodologies, such as those utilizing machine learning (ML) approaches, have the potential to improve the accuracy and versatility of accelerometer-based assessments of physical activity (PA). Children with cerebral palsy (CP) exhibit significant heterogeneity in relation to imp...
保存先:
| 出版年: | Sensors (Basel) |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
|
| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7411900/ https://ncbi.nlm.nih.gov/pubmed/32708963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20143976 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|