Work

RE: A predictive model for lung cancer screening nonadherence in a community setting healthcare network

Year: 2024

Type: letter

Abstract: Yannan Lin, MD, MPH, PhD, Ruiwen Ding, BS, Panayiotis Petousis, PhD, Ashley Elizabeth Prosper, MD, Denise R Aberle, MD, William Hsu, PhD; RE: A predictive

Source: JNCI Cancer Spectrum

DOI: 10.1093/jncics/pkae040

Authors: Yannan Lin, Ruiwen Ding, Panayiotis Petousis, Ashley Elizabeth Prosper, Denise R Aberle, William Hsu

Institutions: University of California, Los Angeles, UCLA Clinical and Translational Science Institute

Language: English

Topic: Lung Cancer Diagnosis and Treatment

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,152

Funders: National Science Foundation, V Foundation for Cancer Research, National Institutes of Health, University of California, Los Angeles, National Cancer Institute, National Center for Advancing Translational Sciences, David Geffen School of Medicine, University of California, Los Angeles

Awards: SCH: INT: Personalized Real-Time Learning of Optimal Diagnostic Tests using Multi-Modal Clinical Data, Individually-tailored clinical decision support for management of indeterminate pulmonary nodules, Molecular and Imaging Biomarkers for Early Lung Cancer Detection in the Setting of Indeterminate Pulmonary Nodules, G7522326161, G851318553, The Boston University - UCLA Lung Cancer Biomarker Characterization Center, J. NRSA Training Core

OpenAlex ID: W4398232087

Cites: 6

Cited by: 2

Related to: 10