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2,129 results for “Score”
Data from: Brain MRI features and scoring of leukodystrophy in adult-onset Krabbe disease
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Data from: Comparison of self-perceived cardiovascular disease risk among smokers with Framingham and PROCAM scores: a cross-sectional analysis of baseline data from a randomised controlled trial
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The reliability and validity of an Arabic version of the modified Japanese Orthopedic Association score for cervical myelopathy
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Scoring of 13 microsatellite loci for Tetrastigma loheri in Cebu (Philippines) based on the fragment length size of their respective alleles
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Supplemental data for: Development and validation of a polygenic risk score for stroke in the Chinese population
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Genome-wide DDR protein Association Score (DAS) network
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Score compounds using 275 frequent hitter rules published in the Lilly-Medchem-Rules
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Data from: Progeny contribution scores in offense double-matings of different genotypes for the Sdic region
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Evaluation datasets and pre-computed scores for: "CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations"
<p>CAPICE is a computational method for predicting the pathogenicity of SNVs and InDels.</p> <p>This new repository added index for CAPICE v1.0 (build37) precomputed files.</p> <p><strong>Repository description:</strong></p> <p>1) "paper_datasets.tar.gz" contains all datasets used in the CAPICE paper;</p> <p>2) "capice_v1.0_build37_indels.tsv.gz" contains the precomputed scores for InDels in genome build 37</p> <p>3) "capice_v1.0_build37_indels.tsv.gz.tbi" contains the index for file"capice_v1.0_build37_indels.tsv.gz"</p> <p>4) "capice_v1.0_build37_snvs.tsv.gz" contains the precomputed scores for all possible SNVs in genome build 37</p> <p>5) "capice_v1.0_build37_snvs.tsv.gz.tbi" contains the index for file "capice_v1.0_build37_snvs.tsv.gz"</p> <p> </p>
GREEN-VARAN scores resources (PhyloP100)
<p>This dataset contains processed BED files for the PhyloP100 conservation values to be used with GREEN-VARAN annotation tool.</p> <p>PhyloP100 values are available for GRCh37 and GRCh38 genome builds.</p> <p> </p>
Eigen scores for human genome assembly GRCh37 Part 3 (Chr9 - Chr16)
<p>Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.</p>
Eigen scores for human genome assembly GRCh37 Part 2 (Chr4 - Chr8)
<p>Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.</p>
Waterlow score on admission in acutely admitted patients aged 65 and over
<p>834 successively admitted patients aged 65 and over to the acute medical take to a district general hospital had their waterlow score recorded, with subsequent 30-day mortality and length of stay correlated. Admission biochemistry pertaining to sodium, albumin and creatining were also recorded. Records include whether they were a death within 30 days and also their total length of stay. </p>
Data from: Multiple scaling behavior and nonlinear traits in music scores
We present a statistical analysis of music scores from different composers using detrended fluctuation analysis. We find different fluctuation profiles that correspond to distinct auto-correlation structures of the musical pieces. Further, we reveal evidence for the presence of nonlinear auto-correlations by estimating the detrended fluctuation analysis of the magnitude series, a result validated by a corresponding study of appropriate surrogate data. The amount and the character of nonlinear correlations vary from one composer to another. Finally, we performed a simple experiment in order to evaluate the pleasantness of the musical surrogate pieces in comparison with the original music and find that nonlinear correlations could play an important role in the aesthetic perception of a musical piece.
Data from: Development and validation of a score to detect paroxysmal atrial fibrillation after stroke
Objective: Prolonged monitoring times (72h) are recommended to detect paroxysmal atrial fibrillation (pAF) after ischemic stroke, but not yet clinical practice; therefore, an individual patient selection for prolonged ECG monitoring might increase the diagnostic yield of pAF in a resource-saving manner. Methods: We used individual patient data from three prospective studies (ntotal=1556) performing prolonged Holter ECG monitoring (at least 72h) and centralized data evaluation after TIA or stroke in patients with sinus rhythm. Based on the TRIPOD guideline, a clinical score was developed on one cohort, internally validated by bootstrapping and externally validated on two other studies. Results: pAF was detected in 77 (4.9%) of 1556 patients during 72h-Holter monitoring. After logistic regression analysis with variable selection, age and the qualifying stroke event (categorised as stroke severity with NIH-SS≤5 (OR 2.4 vs. TIA; 95%CI0.8-6.9,p=0.112) or stroke with NIH-SS>5 (OR 7.2 vs. TIA; 95%CI 2.4-21.8,p<0.001)) were found to be predictive for the detection of pAF within 72h-Holter monitoring and included in the final score (Age: 0.76 points/year, Stroke Severity NIH-SS≤5 = 9 points, NIH-SS>5 = 21 points; to Find AF, AS5F). The high risk group defined by AS5F is characterized by a predicted risk between 5.2% and 40.8% for detection of pAF with a number needed to screen of 3 for the highest observed AS5F points within the study population. Regarding the low number of outcomes before generalization of AS5F the results need replication. Conclusion: The AS5F score can select patients for prolonged ECG monitoring after ischemic stroke to detect pAF.
Data from: Outcomes of stroke patients treated with thrombolysis according to prestroke Rankin Scale scores
Background: It is common practice to withhold intravenous thrombolysis (IVT) for acute ischemic stroke in patients with preexisting disabilities. To test the hypothesis of an association of IVT and good clinical outcome also in patients with preexisting disabilities without an increase in mortality we analyzed data of 52,741 patients (15,317 treated with IVT) depending on prestroke Rankin Scale (pRS) score. Methods: We performed an observational study based on a consecutive stroke registry covering 10.8 million inhabitants. The outcome at discharge of stroke patients admitted in the time window of potential eligibility for IVT (<4.5h after stroke onset) was compared between patients treated and not treated with thrombolysis, stratified by pRS. Logistic regression analysis was used to estimate adjusted odds ratios (OR) along with 95% confidence intervals (CI) for favorable clinical outcome, defined as returning to the baseline pRS score or a score of 0 or 1 and mortality. Sensitivity analyses for subgroups of mildly and severely affected stroke patients were performed and influence of treatment duration was assessed. Results: Among included patients IVT rates were 32% for patients with pRS 0-1 and 20% for patients with pRS 2-5. IVT in patients with pRS of 0-4 was associated with a higher chance of returning to the baseline pRS (or a modified RS of 0/1), with ORs ranging between 1.42 (pRS 2; CI 1.16-1.73) and 1.73 (pRS 0; CI 1.61-1). The OR observed in patients with a pRS of 5 was 0.65 (CI 0.25-1.70). Observed associations remained consistent in sensitivity analyses. Subgroup analyses revealed no evidence of bias due to potential floor and ceiling effects. No evidence of elevated in-hospital mortality of patients treated with thrombolysis was observed. Conclusions: Our study suggests that IVT can be effective even in patients with severe preexisting disabilities, provided that they were not bedridden before stroke onset. Withholding IVT on the sole ground of prestroke disabilities may not be justified.
Data from: Scoring tools for the analysis of infant respiratory inductive plethysmography signals
Infants recovering from anesthesia are at risk of life threatening Postoperative Apnea (POA). POA events are rare, and so the study of POA requires the analysis of long cardiorespiratory records. Manual scoring is the preferred method of analysis for these data, but it is limited by low intra- and inter-scorer repeatability. Furthermore, recommended scoring rules do not provide a comprehensive description of the respiratory patterns. This work describes a set of manual scoring tools that address these limitations. These tools include: (i) a set of definitions and scoring rules for 6 mutually exclusive, unique patterns that fully characterize infant respiratory inductive plethysmography (RIP) signals; (ii) RIPScore, a graphical, manual scoring software to apply these rules to infant data; (iii) a library of data segments representing each of the 6 patterns; (iv) a fully automated, interactive formal training protocol to standardize the analysis and establish intra- and inter-scorer repeatability; and (v) a quality control method to monitor scorer ongoing performance over time. To evaluate these tools, three scorers from varied backgrounds were recruited and trained to reach a performance level similar to that of an expert. These scorers used RIPScore to analyze data from infants at risk of POA in two separate, independent instances. Scorers performed with high accuracy and consistency, analyzed data efficiently, had very good intra- and inter-scorer repeatability, and exhibited only minor confusion between patterns. These results indicate that our tools represent an excellent method for the analysis of respiratory patterns in long data records. Although the tools were developed for the study of POA, their use extends to any study of respiratory patterns using RIP (e.g., sleep apnea, extubation readiness). Moreover, by establishing and monitoring scorer repeatability, our tools enable the analysis of large data sets by multiple scorers, which is essential for longitudinal and multicenter studies.
Supplemental figures and tables of a European multicenter validation study of the External Genitalia Score
<p><b>Context: </b>Standardized description of external genitalia is needed in the assessment of children with atypical genitalia.</p> <p><b>Objectives:<i> </i></b>To validate the External Genitalia Score (EGS), to present reference values for preterm and term babies up to 24 months and correlate obtained scores with anogenital distances (AGDs).</p> <p><b>Design, Setting: </b>A<b> </b>European multicentre (n=8) validation study was conducted from 07/2016 until 07/2018.</p> <p><b>Patients and Methods: </b>EGS is based on the external masculinization score but uses a gradual scale from female to male (range 0-12) and terminology appropriate for both sexes. The reliability of EGS and AGD's were determined by the interclass correlation coefficient (ICC). Cross-sectional data were obtained in 686 term (0-24 months), and 181 preterm babies and 111 babies with atypical genitalia.</p> <p><b>Results:<i> </i></b>ICC of EGS in typical and atypical genitalia is excellent and good. Median EGS (10<sup>th </sup>-<sup> </sup>90<sup>th </sup>centile) in males < 28 weeks gestation is 10 (8.6-11.5); in males 28-32 weeks 11.5 (9.2-12); in males 33-36 weeks 11.5 (10.5-12) and in full-term males 12 (10.5-12). In all female babies, EGS is 0 (0-0). The mean (SD) AGDl/u is 0.45 (0.1), with significant difference between AGDl/u in males 0.49 (0.1) and females 0.39 (0.1) and in-between values in DSD 0.43 (0.1). AGDl/u correlates with EGS in males with typical genitalia and in atypical genitalia.</p> <p><b>Conclusions: </b>EGS is a reliable and valid tool to describe external genitalia in premature and term babies up to 24 months. EGS correlates with AGDl/u in males. It facilitates standardized assessment, clinical decision-making and multicenter research.</p>
Data from: Crossmodal congruency effect scores decrease with repeat test exposure
The incorporation of feedback into a person's body schema is well established. The crossmodal congruency effect (CCE) task is used to objectively quantify incorporation without being susceptible to experimenter biases. This visual-tactile interference task is used to calculate the CCE score as a difference in response time for incongruent and congruent trials. Here we show that this metric is susceptible to a learning effect that causes attenuation of the CCE score due to repeated task exposure sessions. We demonstrate that this learning effect is persistent, even after a 6 month hiatus in testing. Two mitigation strategies are proposed: 1. Only use CCE scores that are taken after learning has stabilized, or 2. Use a modified CCE protocol that decreases the task exposure time. We show that the modified and shortened CCE protocol, which may be required to meet time or logistical constraints in laboratory or clinical settings, reduced the impact of the learning effect on CCE results. Importantly, the CCE scores from the modified protocol were not significantly more variable than results obtained with the original protocol. This study highlights the importance of considering exposure time to the CCE task when designing experiments and suggests two mitigation strategies to improve the utility of this psychophysical assessment.
Data from: Implementation of an automated early warning scoring system in a surgical ward: practical use and effects on patient outcomes
Introduction: Early warning scores (EWS) are being increasingly embedded in hospitals over the world due to their promise to reduce adverse events and improve the outcomes of clinical patients. The aim of this study was to evaluate the clinical use of an automated modified EWS (MEWS) for patients after surgery. Methods: This study conducted retrospective before-and-after comparative analysis of non-automated and automated MEWS for patients admitted to the surgical high-dependency unit in a tertiary hospital. Operational outcomes included number of recorded assessments of the individual MEWS elements, number of complete MEWS assessments, as well as adherence rate to related protocols. Clinical outcomes included hospital length of stay, in-hospital and 28-day mortality, and ICU readmission rate. Results: Recordings in the electronic medical record from the control period contained 7929 assessments of MEWS elements and were performed in 320 patients. Recordings from the intervention period contained 8781 assessments of MEWS elements in 273 patients, of which 3418 were performed with the automated EWS system. During the control period, 199 (2.5%) complete MEWS were recorded versus 3991 (45.5%) during intervention period. With the automated MEWS systems, the percentage of missing assessments and the time until the next assessment for patients with a MEWS of ≥2 decreased significantly. The protocol adherence improved from 1.1% during the control period to 25.4% when the automated MEWS system was involved. There were no significant differences in clinical outcomes. Conclusion: Implementation of an automated EWS system on a surgical high dependency unit improves the number of complete MEWS assessments, registered vital signs, and adherence to the EWS hospital protocol. However, this positive effect did not translate into a significant decrease in mortality, hospital length of stay, or ICU readmissions. Future research and development on automated EWS systems should focus on data management and technology interoperability.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.