Rapid Learning for Lung Cancer
NCT01949259 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 10000
Last updated 2016-09-30
Summary
A retrospective, data mining project that re-uses routine patient care data for decision support systems.
Conditions
Sponsors & Collaborators
-
Liverpool Cancer Therapy Centre
collaborator OTHER_GOV -
Macarthur Cancer Therapy Centre, Liverpool
collaborator OTHER -
Ingham Institute Hospital, Liverpool
collaborator UNKNOWN -
NSW, Australia
collaborator UNKNOWN -
Maastricht Radiation Oncology
lead OTHER
Principal Investigators
-
Andre Dekker, Dr · Maastro Clinic, The Netherlands
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2013-09-30
- Primary Completion
- 2014-08-31
- Completion
- 2014-08-31
Countries
- Netherlands
Study Locations
More Related Trials
-
Clinical Trial of Telenursing for Monitoring Supportive Care Needs in Patients With Lung Cancer and Melanoma Candidates for the First Prescription of Targeted Therapies
NCT06254196 ·Status: RECRUITING ·Phase: NA
-
Lung Tumour Volume Database
NCT00351598 ·Status: COMPLETED
-
Image Mining and ctDNA to Improve Risk Stratification and Outcome Prediction in NSCLC Applying Artificial Intelligence.
NCT06163846 ·Status: RECRUITING
-
Early Detection of Lung Cancer in Czech High-risk Asymptomatic Individuals
NCT04627350 ·Status: UNKNOWN
-
Machine Learning to Construct an Association Model for Lung Cancer and Environmental Hormone
NCT06259461 ·Status: ACTIVE_NOT_RECRUITING
-
D-Lung: An Analytics Platform for Lung Cancer Based on Deep Learning Technology
NCT04036903 ·Status: COMPLETED
-
LC-NMR Study Biomarkers to Detect Lung Cancer
NCT02024113 ·Status: COMPLETED
-
A Non Interventional Pilot Study on Machine Learning for ILD Detection Based on the Patient Data From Digital Devices in Unresectable Stage III Non-Small Cell Lung Cancer Patients Receiving Durvalumab
NCT04884269 ·Status: COMPLETED
-
Prospective Data Collection Initiative on Thoracic Malignancies
NCT06996249 ·Status: RECRUITING
-
Breath Analysis to Diagnose Lung Cancer
NCT03250390 ·Status: COMPLETED ·Phase: NA
-
Predicting Symptom Trajectories After Thoracoscopic Lung Cancer Surgery Using an Interpretable Machine Learning Model
NCT06771947 ·Status: NOT_YET_RECRUITING
-
Decoding the Association of Imaging and Tumor Microenvironment in Lung Cancer Using Radiogenomic Approach(Radiogenomics-Lung)
NCT06500312 ·Status: RECRUITING
-
Fully Automated Pipeline for the Detection and Segmentation of Non-Small Cell Lung Cancer (NSCLC) on CT Images
NCT04164186 ·Status: UNKNOWN
-
Lung Cancer Early Diagnosis With Digital Tomosynthesis: Re-evaluation of Lung Nodule Detection Rate at 5 Years
NCT03645018 ·Status: COMPLETED ·Phase: PHASE3
-
A Single-arm Observational Study to Characterize the Demographic, Clinical Features and Outcomes of a Brazilian Cohort of Patients With Lung Cancer.
NCT07279948 ·Status: NOT_YET_RECRUITING
-
Advancing Lung Cancer Screening: Artificial Intelligence, Multimodal Imaging and Cutting-Edge Technologies for Early Detection and Characterization
NCT06531343 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Implementation of Up-front ctDNA Into Lung Cancer Care and Development of Liquid Biopsy-based Decision Support Models - LM² Study
NCT06105177 ·Status: RECRUITING
-
Early Detection of Lung Cancer In Patients With Chronic Chest Diseases
NCT06074978 ·Status: NOT_YET_RECRUITING
-
Biomarker Discovery in Lung Cancer - Malaysia
NCT06504927 ·Status: RECRUITING
-
Characteristics of Advanced LUNG CANCER at the tIme of Diagnosis in a Large Italian Cohor
NCT06076005 ·Status: RECRUITING
-
Predicting Immunotherapy Response and Survival of Lung Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Lung)
NCT07059923 ·Status: RECRUITING
-
Measurement of Pain and Other Symptoms of Non-Small Cell Lung Cancer (NSCLC) Patients Following Thoracic Surgery
NCT00501319 ·Status: COMPLETED
-
Improvement of Quality of Life (QoL) Using Preference-Oriented QoLMonitoring in Patients with Lung Cancer
NCT06252233 ·Status: RECRUITING ·Phase: NA
-
Clinical Validation of the M5L Lung CAD
NCT03179150 ·Status: COMPLETED
-
Using Imaging and Molecular Markers to Predict Tumor Response and Lung Toxicity in Lung Cancer
NCT00603057 ·Status: COMPLETED