Estimating personal temporal symptom networks for childhood cancer survivors
We demonstrate that the logistic autoregressive model with covariates effectively estimates personal temporal symptom networks for childhood cancer survivors, enabling personalized symptom monitoring and informing tailored symptom management strategies.
Authors
- Madeline R. Horan (ORCID: https://orcid.org/0000-0003-4811-4819)
- Daniel A. Mulrooney (ORCID: https://orcid.org/0000-0003-2351-9115)
- Jaesung Choi (ORCID: https://orcid.org/0000-0003-4091-2672)
- Yiwang Zhou (ORCID: https://orcid.org/0000-0002-8023-205X)
- Deo Kumar Srivastava (ORCID: https://orcid.org/0000-0001-6693-8120)
- Kirsten K. Ness (ORCID: https://orcid.org/0000-0002-2084-1507)
- I‐Chan Huang (ORCID: https://orcid.org/0000-0002-1194-3923)
- S. M. Deshpande
- Melissa M. Hudson (ORCID: https://orcid.org/0000-0001-6984-2407)
Institutions
- St. Jude Children's Research Hospital (US)
- Wake Forest University (US)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1038/s43856-025-01105-0
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Cancer Institute