Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes-Reference-Cited by-同舟云学术

Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Wei Song¹^ORCID,Xie Yao¹^ORCID,Josef Christopher S.²^ORCID,Kamaleswaran Rishikesan²^ORCID

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

2. Emory University, Atlanta, GA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599369

Reference52 articles.

1. Hawkes Processes in Finance

2. Yujia Bao Zhaobin Kuang Peggy Peissig David Page and Rebecca Willett. 2017. Hawkes process modeling of adverse drug reactions with longitudinal observational data. In Machine learning for healthcare conference. PMLR 177--190. Yujia Bao Zhaobin Kuang Peggy Peissig David Page and Rebecca Willett. 2017. Hawkes process modeling of adverse drug reactions with longitudinal observational data. In Machine learning for healthcare conference. PMLR 177--190.

3. Maximum likelihood estimation for Hawkes processes with self-excitation or inhibition

4. Anna Bonnet , Miguel Martinez Herrera, and Maxime Sangnier . 2022 . Inference of multivariate exponential Hawkesprocesses with inhibition and application toneuronal activity. arXiv preprint arXiv:2205.04107 (2022). Anna Bonnet, Miguel Martinez Herrera, and Maxime Sangnier. 2022. Inference of multivariate exponential Hawkesprocesses with inhibition and application toneuronal activity. arXiv preprint arXiv:2205.04107 (2022).

5. Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data

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