About this document
Neighborhood Contrastive Learning Applied To Online Patient Monitoring by xiao.zhao.atwork is a document available to read on EtoBox.
This document presents a novel contrastive learning framework called Neighborhood Contrastive Learning (NCL) aimed at improving online patient monitoring in intensive care units. NCL addresses challenges associated with heterogeneous medical time-series data by grouping contiguous time segments from patients while preserving state-specific information. The approach demonstrates competitive results in online monitoring benchmarks and outperforms existing supervised learning methods, particularly in limited l
- Author
- xiao.zhao.atwork
- Language
- EN