Rapid Learning for Lung Cancer
Conditions
Lung Cancer
Conditions: official terms
Lung Neoplasms
Conditions: Keywords
Retrospective, Lung cancer
Study Type
Observational
Study Phase
N/A
Study Design
Observational Model: Cohort, Time Perspective: Retrospective
Overall Status
Recruiting
Summary
A retrospective, data mining project that re-uses routine patient care data for decision support systems.
Detailed Description
By installing tools that extract clinical data from electronic health records and image data from the Picture Archiving and Communication System, decision support systems are built and validated that can predict survival and treatment toxicities of lung cancer patients treated with radiotherapy.
Criteria for eligibility
Healthy Volunteers: No
Maximum Age: N/A
Minimum Age: N/A
Gender: Both
Criteria: Inclusion Criteria:

- Patients notes as suffering from lung cancer in at least one clinical data source.
Location
MAASTRO clinic
Maastricht, Limburg, Netherlands
Status: Recruiting
Contact: Andre Dekker, Dr - +31 88 44 55 666 - andre.dekker@maastro.nl
Start Date
September 2013
Completion Date
January 2016
Sponsors
Maastricht Radiation Oncology
Source
Maastricht Radiation Oncology
Record processing date
ClinicalTrials.gov processed this data on July 28, 2015
ClinicalTrials.gov page