20K Distributed Learning Challenge

NCT03564457 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 20000

Last updated 2019-03-08

No results posted yet for this study

Summary

Machine learn a predictive model from more than 20.000 non-small cell lung cancer patients from more than 5 health care providers from more than 5 countries.

Conditions

  • Non Small Cell Lung Cancer

Interventions

OTHER

No interventions will take place (observational)

No interventions will take place (observational)

Sponsors & Collaborators

  • Radboud University Medical Center

    collaborator OTHER
  • The Netherlands Cancer Institute

    collaborator OTHER
  • Manchester Academic Health Science Centre

    collaborator OTHER
  • Catholic University of the Sacred Heart

    collaborator OTHER
  • Fudan University

    collaborator OTHER
  • Velindre Cancer Center

    collaborator UNKNOWN
  • University of Michigan

    collaborator OTHER
  • Cardiff University

    collaborator OTHER
  • Maastricht Radiation Oncology

    lead OTHER

Principal Investigators

  • André Dekker, MD, PhD · Maastro Clinic, The Netherlands

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-07-01
Primary Completion
2018-10-01
Completion
2018-10-01

Countries

  • Netherlands

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03564457 on ClinicalTrials.gov