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Dataset results
59 results for “quality assurance”
Intelligent Volume Assured Pressure Support to Improve Sleep Quality and Respiratory Events in Patients With Non Invasive Ventilation
ClinicalTrials.gov study NCT01986413. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Implementation and Quality Assurance of DPYD-genotyping in Patients Treated With Fluoropyrimidines.
ClinicalTrials.gov study NCT05266300. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Quality of Life and Self-assurance and Social Support Earned for Non-cellular Head Cancer
ClinicalTrials.gov study NCT06395805. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Electronic KIDCLOT Interactive Thrombosis/Thrombophilia Education; A Quality Assurance Initiative
ClinicalTrials.gov study NCT03910933. IPD Sharing: NO. Countries: 2. Publications: 0.
Quality Assurance Via Telephone Interviews After Cataract Surgery
ClinicalTrials.gov study NCT05215002. IPD Sharing: NO. Countries: 1. Publications: 0.
Can a Tailored Quality Assurance Program Help General Practitioners Maintain POCUS Scanning Competence? A Cohort Study From Denmark
ClinicalTrials.gov study NCT05625646. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Patient Survey as a Tool to Quality Assurance and Quality Improvement
ClinicalTrials.gov study NCT02413775. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Sensor Validation Study - Quality Assurance
ClinicalTrials.gov study NCT03306537. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating a Water Quality Assurance Fund Intervention in Ghana and Kenya
ClinicalTrials.gov study NCT06570005. IPD Sharing: YES. Countries: 2. Publications: 0.
AIRS/Aqua L1B Visible/Near Infrared (VIS/NIR) quality assurance subset V005 (AIRVBQAP) at GES DISC
The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS Visible/Near Infrared (VIS/NIR) Level 1B QA Subset contains Quality Assurance (QA) parameters that a may use of filter AIRS VIS/NIR Level 1B radiance data to create a subset of analysis. It includes "state" that user should check before using any VIS/NIR Level 1B data radiance and "glintlat", "glintlon", and "sun_glint_distant" that users can use to check for possibility of solar glint contamination. AIRS VIS/NIR Level 1B radiance data can be found in AIRVBRAD.
AIRS/Aqua L1B Infrared (IR) quality assurance subset V005 (AIRIBQAP) at GES DISC
The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS IR Level 1B QA Subset contains Quality Assurance (QA) parameters that a user of may use to filter AIRS IR Level 1B radiance data to create a subset of analysis. QA parameters indicate quality of granule-per-channel, scan-per-channel, field of view, and channel and should be accessed before any data of analysis. It also contains "glintlat", "glintlon", and "sun_glint_distant" that users can use to check for possibility of solar glint contamination.
General Practice Quality Assurance Project. Chronic Obstructive Pulmonary Disease (COPD) Diagnosis and Treatment
ClinicalTrials.gov study NCT00319813. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Danish Quality Assurance Project on Diagnosis and Treatment of Chronic Obstructive Pulmonary Disease (COPD) in Outpatient Lung Clinics
ClinicalTrials.gov study NCT00268866. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Investigating Trends in Compliance With Quality Assurance Metrics
ClinicalTrials.gov study NCT03119532. IPD Sharing: NO. Countries: 0. Publications: 0.
AIRS/Aqua L1B Near Real Time (NRT) Visible/Near Infrared (VIS/NIR) quality assurance subset V005 (AIRVBQAP_NRT) at GES DISC
The AIRS Level 1B Near Real Time (NRT) product (AIRVBQAP_NRT_005) differs from the routine product (AIRVBQAP_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) Visible/Near Infrared (VIS/NIR) instrument in combination with the AIRS Infrared Spectrometer, the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB) constitute an innovative atmospheric sounding group aboard the Earth Observing System (EOS) Aqua platform in a near-polar Sun-synchronous orbit with a 1:30 AM/PM equator crossing time and an ~705 km altitude. The AIRS Visible/Near Infrared (VIS/NIR) Level 1B QA Subset contains Quality Assurance (QA) parameters that a may use of filter AIRS VIS/NIR Level 1B radiance data to create a subset of analysis. It includes "state" that user should check before using any VIS/NIR Level 1B data radiance and "glintlat", "glintlon", and "sun_glint_distant" that users can use to check for possibility of solar glint contamination. AIRS VIS/NIR Level 1B radiance data can be found in AIRVBRAD.
AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) quality assurance subset V005 (AIRIBQAP_NRT) at GES DISC
The AIRS Level 1B Near Real Time (NRT) product (AIRIBQAP_NRT_005) differs from the routine product (AIRIBQAP_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a facility instrument aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS data will be generated continuously. Global coverage will be obtained twice daily (day and night) on a 1:30pm sun synchronous orbit from a 705-km altitude. The AIRS IR Level 1B QA Subset contains Quality Assurance (QA) parameters that a user of may use to filter AIRS IR Level 1B radiance data to create a subset of analysis. QA parameters indicate quality of granule-per-channel, scan-per-channel, field of view, and channel and should be accessed before any data of analysis. It also contains "glintlat", "glintlon", and "sun_glint_distant" that users can use to check for possibility of solar glint contamination.
Frequency of Portal Images Required to Enhance Quality Assurance for Breast Cancer Patients Treated With Radiotherapy
ClinicalTrials.gov study NCT00123812. IPD Sharing: Not stated. Countries: 0. Publications: 0.
DATASET RELATED TO ARTICLE "IBA myQA SRS Detector for CyberKnife Robotic Radiosurgery Quality Assurance"
<p><em>The database contains data analysis tables and spreadsheets</em></p>
Dataset related to article "Multicentric evaluation of a machine learning model to streamline the radiotherapy patient specific quality assurance process"
<p> This record contains raw data related to article “Multicentric evaluation of a machine learning model to streamline the radiotherapy patient specific quality assurance process"</p> <p><em>Purpose:</em> Patient-specific quality assurance (PSQA) is performed to ensure that modulated treatment plans can be delivered as intended, but constitutes a substantial workload that could slow down the radiotherapy process and delay the start of clinical treatments. In this study, we investigated a machine learning (ML) tree-based ensemble model to predict the gamma passing rate (GPR) for volumetric modulated arc therapy (VMAT) plans.</p> <p><em>Materials and Methods:</em> 5622 VMAT plans from multiple treatment sites were selected from a database of Institution 1 and the ML model trained using 19 metrics. PSQA analyses were performed automatically using criteria 3%/1 mm (global normalization, absolute dose, 10% threshold) and 95% action limit. Model’s performance was evaluated on an out-of-sample test set of Institution 1 and on two independent sets of measurements collected at Institution 2 and Institution 3. Mean absolute error (MAE), as well as the model’s sensitivity and specificity, were computed.</p> <p><em>Results:</em> The model obtained a MAE of 2.33%, 2.54% and 3.91% for the three Institutions, with a specificity of 0.90, 0.90 and 0.68, and a sensitivity of 0.61, 0.25, and 0.55, respectively. Small positive median values of the residuals (i.e., the difference between measurements and predictions) were observed for each Institution (0.95%, 1.66%, and 3.42%). Thus, the model’s predictions were, on average, close to the real values and provided a conservative estimation of the GPR.</p> <p><em>Conclusions</em>: ML models can be integrated into clinical practice to streamline the radiotherapy workflow, but they should be center-specific or thoroughly verified within centers before clinical use.</p> <p> </p>
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International Brain Laboratory public data
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OpenNeuro
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