English(EN) Dynamic Prediction of Alternating Recurrent Events via Neural Network

新型神经网络预测交替复发事件

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-29 20:24

研究人员开发了一个新的神经网络框架，用于预测交替复发事件，即触发后续不应期的事件。该框架旨在处理此类事件的统计复杂性，包括相关观测和删失结果。该模型使用模拟数据进行了测试，在预测无事件时间方面表现强劲，并在预测医学院一年级住院医师的低落情绪期方面取得了显著成功。 AI

影响这项研究引入了一种新颖的神经网络方法来分析复杂的事件序列，有可能改进医疗保健和行为科学等领域的预测建模。

排序理由在arXiv上发表的研究论文，详细介绍了一种新的神经网络方法。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.LG TIER_1 English(EN) · Abigail Loe, Susan Murry, Zhenke Wu · 2026-07-01 04:00

基于神经网络的交替重复事件动态预测

arXiv:2606.30889v1 Announce Type: cross Abstract: Alternating recurrent events -- event-times of a specific nature that trigger a secondary refractory period -- occur in a wide-range of fields, including behavioral science, criminal justice, and biostatistics. Analysis of these e…
arXiv stat.ML TIER_1 English(EN) · Zhenke Wu · 2026-06-29 20:24

神经网络动态预测交替重复事件

Alternating recurrent events -- event-times of a specific nature that trigger a secondary refractory period -- occur in a wide-range of fields, including behavioral science, criminal justice, and biostatistics. Analysis of these events requires careful attention to the statistica…