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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

Trend · papers per month

count% of corpus
1122 · Dec 201819922001200920182026
3 results for “Self-Care”
Care2Vec: A Deep learning approach for the classification of self-care problems in physically disabled childrencs.LG

Care2Vec uses deep learning to classify self-care problems in disabled children.

problem Accurate classification of self-care problems in physically disabled children.
method Care2Vec is a deep learning approach combining unsupervised and supervised learning using Autoencoders and Deep neural networks.
result Care2Vec outperforms traditional methods like Decision trees and Artificial neural networks in self-care classification.
deep learningself-care classificationdisabled childrenoccupational therapyAI
2018-12-03abs ↗pdf ↗
Classification of Functioning, Disability, and Health for Children and Youth: ICF-CY Self Care (SCADI Dataset) Using Predictive Analyticscs.CY

Predictive analytics classify self-care problems in children with disability using ICF-CY.

problem Complex classification of functioning and disability in children with ICF-CY.
method Implemented Random Forest, SVM, Naive Bayes, Hoeffding tree, and Lazy locally weighted learning; used Boruta for dimensionality reduction.
result Random Forest achieved 84.75% classification accuracy.
Predictive AnalyticsICF-CYSelf-CareChildren DisabilityClassification
2018-12-29abs ↗pdf ↗