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Nov, 2023
解释可微潜在状态对医疗时间序列数据
Interpreting Differentiable Latent States for Healthcare Time-series Data
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Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam Barnaghi
TL;DR
应用机器学习从大规模时间序列数据中提取临床见解，解释潜在状态、预测结果，并通过算法识别白天行为模式以预测夜间行为。
Abstract
machine learning
enables extracting
clinical insights
from large temporal datasets. The applications of such
machine learning
models inclu
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