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575
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ShareScore release 0.9.0
Dataset results
575 results for “quality assessment”
Assessment of Oral Health Related Quality of Life After Full Mouth Rehabilitation Under GA
ClinicalTrials.gov study NCT05127655. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Assessing Manual Acupuncture's Impact on Mucositis From Nasopharynx Cancer Radiotherapy: A Visual Analogue Scale (VAS) and Quality of Life Study
ClinicalTrials.gov study NCT06472024. IPD Sharing: NO. Countries: 0. Publications: 0.
Quality of Life Assessment of Radiotherapy in Recurrent Head and Neck Cancer
ClinicalTrials.gov study NCT05850663. IPD Sharing: NO. Countries: 0. Publications: 0.
Assessment of Patients Quality of Life Treated With Three ARTHRUM H 2% Joint Injections
ClinicalTrials.gov study NCT02840422. IPD Sharing: NO. Countries: 0. Publications: 0.
Assessment of Cognitive Functions, Psychological Symptoms, and Quality of Life Among B Thalassemia Patients and Their Clinical Correlates.
ClinicalTrials.gov study NCT05105659. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Assessment of Complications, Quality of Life and Easiness of Use of Implantable Central Venous Access Ports
ClinicalTrials.gov study NCT00921141. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of Cognitive Functions and Quality of Life in Patients Undergoing Surgery for Supratentorial Brain Tumor
ClinicalTrials.gov study NCT02428972. IPD Sharing: NO. Countries: 0. Publications: 0.
Assessment of Changes in Oral Health-related Quality of Life , Oral Hygiene Status and Body Growth in CSHCN Following Dental Treatment Under General Anaesthesia
ClinicalTrials.gov study NCT04861675. IPD Sharing: NO. Countries: 0. Publications: 0.
Assessing Perceived Versus Actual Knowledge and Quality of Life in Pre-Dialysis Chronic Kidney Disease (CKD) Patients
ClinicalTrials.gov study NCT01509716. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ASSESSMENT of FRAILTY AS a PROGNOSTIC FACTOR for MORTALITY, DISABILITY, and QUALITY of LIFE AFTER ICU ADMISSION
ClinicalTrials.gov study NCT06793462. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Quality Control in Microarray Assessment of Gene Expression in Human Airway Epithelium
GEO Series GSE11906. Homo sapiens. 223 samples. Type: Expression profiling by array.
Dataset related to article: "Quantitative assessment of the quality of home sleep studies: A computer‐assisted approach"
<p>Abstract</p> <p>Home monitoring is the most practical means of collecting sleep data in large-scale research investigations. Because the portion of recording time with poor-quality data is higher than in attended polysomnography, a quantitative assessment of the quality of each signal should be recommended. Currently, only qualitative or semi-quantitative assessments are carried out, likely because of the lack of computer-based applications to carry out this task efficiently. This paper presents an innovative computer-assisted procedure designed to perform a quantitative quality assessment of standard respiratory signals recorded by Type 2 and Type 3 portable sleep monitors. The proposed system allows to assess the quality (good versus bad) of consecutive 1-min segments of thoraco-abdominal movements, oronasal, nasal airflow and oxygen saturation through an automatic classifier. The performance of the classifier was evaluated in a sample of 30 unattended polysomnography recordings, comparing the computer output with the consensus of two expert scorers. The difference (computer versus scorers) in the percentage of good-quality segments was on average very small, ranging from -3.1% (abdominal movements) to 0.8% (nasal flow), with an average total classification accuracy from 90.2 (oronasal flow) to 94.9 (nasal flow), a Sensitivity from 0.93 (oronasal flow) to 0.98 (nasal flow), and a Specificity from 0.74 (nasal flow) to 0.86 (abdominal movements). In practical applications, the scorer can run a check-and-edit procedure, further improving the classification accuracy. Considering a sample of 270 unattended polysomnography recordings (recording time: 545 ± 44 min), the average time taken for the check-and-edit procedure of each recording was 6.9 ± 2.1 min for all respiratory signals.</p>
Table S1 Study quality assessment using Joanna Briggs Institute critical assessment tools
Open the record for dataset details and reuse information.
Open 1.0-T versus closed 1.5-T cardiac MR: Image quality assessment
<p>Dataset from Alì M, Monti CB, Gold B, Lastella G, Papa S, Sardanelli F, Secchi F. Open 1.0-T versus closed 1.5-T cardiac MR: Image quality assessment. Clin Imaging. 2020 Dec;68:102-107. doi: 10.1016/j.clinimag.2020.06.019. Epub 2020 Jun 15. PMID: 32585415.</p> <p><strong>Abstract</strong></p> <p><strong>Purpose: </strong>The aim of this paper was to compare the open 1-T (O-1T) versus the closed 1.5-T (C-1.5T) cardiac magnetic resonance (MR).</p> <p><strong>Patients/methods: </strong>The MR examinations of two concurrent cohorts (each including 100 subjects) of patients with suspected or known cardiac disease were reviewed. Such examinations were obtained using O-1T or C-1.5T MRI. The bright-blood cine, T1-weighted (T1), T2-weighed short-tau inversion recovery (T2-STIR), late gadolinium enhancement (LGE) sequences were performed. Signal-to-noise ratio of blood (SNRb) or myocardium (SNRm), and contrast-to-noise ratio of myocardium (CNRm) were calculated. Subjective image quality (SIQ) of each sequence was graded as 0 = poor, 1 = intermediate, or 2 = optimal. Each examination was considered as diagnostic when the report answered the clinical question.</p> <p><strong>Results: </strong>C-1.5T was better than O-1T on cine for SNRb(median 172 versus 452), SNRm(71 versus 160) and CNRm (107 versus 265) and on T2-STIR for SNRb(10 versus 29), SNRm(74 versus 261) and CNRm(-67 versus -233)(P < 0.001). On LGE, SNRm was higher with O-1T than for C-1.5T (312 versus 79, P < 0.001) while CNR was lower (158 versus 389; P < 0.001). No significant differences were found for SNRb on LGE and both SNRm and CNRm on T1 (P ≥ 0.215). SIQ of O-1T was not significantly different from that of C-1.5T for both R1 and R2 for cine, T1, and LGE (P ≥ 0.157); for T2-STIR, SIQ of O-1T was significantly lower (P = 0.003). R1-R2 concordance was almost perfect (κ = 0.816-0.894), and all examinations were diagnostic.</p> <p><strong>Conclusion: </strong>Even though quantitative measurements mostly favored C-1.5T, the SIQ of O-1T was not significantly different for any sequence, with the only exception of T2-STIR.</p>
QuLog: Data-Driven Approach for Log Instruction Quality Assessment
<p>Reviewers are allowed to access upon request</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.