Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Automated Electronic Health Record–Based Tool for Identification of Patients With Metastatic Disease to Facilitate Clinical Trial Patient Ascertainment
19
Zitationen
13
Autoren
2021
Jahr
Abstract
This tool infers metastatic status from unstructured EHR data with high accuracy and high confidence in more than 75% of cases, without requiring additional manual review. By enabling efficient characterization of metastatic status, this tool could mitigate a key barrier for patient ascertainment and clinical trial participation in community clinics.
Ähnliche Arbeiten
World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects
2003 · 10.818 Zit.
Estimating the mean and variance from the median, range, and the size of a sample
2005 · 8.923 Zit.
SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials
2013 · 6.938 Zit.
The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research
2020 · 5.208 Zit.
The global landscape of AI ethics guidelines
2019 · 4.487 Zit.