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87
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ShareScore release 0.9.0
Dataset results
87 results for “model diagnostics”
Refinement and Validation of a Diagnostic Model (GAMAD) for Early Detection of Hepatocellular Carcinoma
ClinicalTrials.gov study NCT05626985. IPD Sharing: NO. Countries: 1. Publications: 3.
Radical Prostatectomy Without Prostate Biopsy Following PSMA PET/CT Based on Diagnostic Model
ClinicalTrials.gov study NCT05587192. IPD Sharing: NO. Countries: 1. Publications: 16.
Impact of Validated Diagnostic Prediction Model of Acute Heart Failure in the Emergency Department
ClinicalTrials.gov study NCT01193998. IPD Sharing: Not stated. Countries: 3. Publications: 4.
Development and Validation of a CT-based Diagnostic Models Using Artificial Intelligence for Detection of Small Bowel Obstruction
ClinicalTrials.gov study NCT05566158. IPD Sharing: Not stated. Countries: 1. Publications: 8.
The Application of the PDCA Management Model in Improving the Diagnostic Accuracy of AIG
ClinicalTrials.gov study NCT06557252. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Ultrasound-based Diagnostic Model for Differentiating Malignant Breast Lesion From Benign Lesion
ClinicalTrials.gov study NCT03080623. IPD Sharing: NO. Countries: 1. Publications: 1.
A Non-invasive Diagnostic Model for Intestinal Fibrosis in Crohn's Disease Based on 18F-FAPI PET Imaging
ClinicalTrials.gov study NCT05824962. IPD Sharing: NO. Countries: 1. Publications: 1.
Diagnostic and Prognostic Prediction Models for Chinese Patients With Venous Thromboembolism
ClinicalTrials.gov study NCT03802929. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Diagnostic and Prognostic Model of Pulmonary Fibrosis After COVID-19 Pneumonia and Mechanism Study
ClinicalTrials.gov study NCT05719038. IPD Sharing: NO. Countries: 1. Publications: 5.
Diagnostic Modeling for Pedal Fat Pad Atrophy
ClinicalTrials.gov study NCT02679651. IPD Sharing: NO. Countries: 1. Publications: 7.
External validation of EPIC's Risk of Unplanned Readmission model, the LACE+ index and SQLape® as predictors of unplanned hospital readmissions: A monocentric, retrospective, diagnostic cohort study in Switzerland
<p>Introduction: Readmissions after an acute care hospitalization are relatively common, costly to the health care system, and are associated with significant burden for patients. As one way to reduce costs and simultaneously improve quality of care, hospital readmissions receive increasing interest from policy makers. It is only relatively recently that strategies were developed with the specific aim of reducing unplanned readmissions using prediction models to identify patients at risk. EPIC's Risk of Unplanned Readmission model promises superior performance. However, it has only been validated for the US setting. Therefore, the main objective of this study is to externally validate the EPIC's Risk of Unplanned Readmission model and to compare it to the internationally, widely used LACE+ index, and the SQLAPE® tool, a Swiss national quality of care indicator.</p> <p>Methods: A monocentric, retrospective, diagnostic cohort study was conducted. The study included inpatients, who were discharged between the 1<sup>st</sup> of January 2018 and the 31<sup>st</sup> of December 2019 from the Lucerne Cantonal Hospital, a tertiary-care provider in Central Switzerland. The study endpoint was an unplanned 30-day readmission. Models were replicated using the original intercept and beta coefficients as reported. Otherwise, score generator provided by the developers were used. For external validation, discrimination of the scores under investigation were assessed by calculating the area under the receiver operating characteristics curves (AUC). Calibration was assessed with the Hosmer-Lemeshow <i>X</i><sup><i>2</i></sup><span><span></span></span> goodness-of-fit test This report adheres to the TRIPOD statement for reporting of prediction models.</p> <p>Results: At least 23,116 records were included. For discrimination, the EPIC´s prediction model, the LACE+ index and the SQLape® had AUCs of 0.692 (95% CI 0.676-0.708), 0.703 (95% CI 0.687-0.719) and 0.705 (95% CI 0.690-0.720). The Hosmer-Lemeshow <i>X</i><sup><i>2</i></sup><span><span></span></span> tests had values of p<0.001.</p> <p>Conclusion: In summary, the EPIC´s model showed less favorable performance than its comparators. It may be assumed with caution that the EPIC´s model complexity has hampered its wide generalizability - model updating is warranted.</p>
Dataset for "Model diagnostic analysis in a cold basin influenced by frozen soils with the aid of stable isotope"
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Model input data, simulation output data and processed data presented in "Modelling the three-dimensional, diagnostic anisotropy field of an ice rise"
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Prospective Validation of Pathology-based Artificial Intelligence Diagnostic Model for Lymph Node Metastasis in Prostate Cancer
ClinicalTrials.gov study NCT06253065. IPD Sharing: NO. Countries: 1. Publications: 0.
Early Diagnostic Response Model (EDRM)
ClinicalTrials.gov study NCT05419895. IPD Sharing: YES. Countries: 1. Publications: 0.
Development and Prospective Validation of a Digital Pathology-based Artificial Intelligence Diagnostic Model for Pan-cancer Lymphatic Metastasis
ClinicalTrials.gov study NCT06517979. IPD Sharing: NO. Countries: 1. Publications: 0.
External validation of EPIC’s Risk of Unplanned Readmission model, the LACE+ index and SQLape® as predictors of unplanned hospital readmissions: A monocentric, retrospective, diagnostic cohort study in Switzerland
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MERRA-2 tavg3_3d_cld_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Cloud Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NVCLD) at GES DISC
M2T3NVCLD (or tavg3_3d_cld_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of cloud diagnostics at 72 model layers, such as cloud fraction for radiation, pressure thickness, in cloud cloud ice (or liquid) for radiation, and relative humidity. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read "MERRA-2 File Specification Document", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
MERRA-2 tavg3_3d_trb_Ne: 3d,3-Hourly,Time-Averaged,Model-Level Edge,Assimilation,Turbulence Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NETRB) at GES DISC
M2T3NETRB (or tavg3_3d_trb_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated turbulence diagnostics at the 73 model layer edges. The parameters include total scalar diffusivity, total momentum diffusivity, momentum diffusivity from Louis, Richardson number from Louis, and more. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read "MERRA-2 File Specification Document", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
MERRA-2 tavg3_3d_rad_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Radiation Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NVRAD) at GES DISC
M2T3NVRAD (or tavg3_3d_rad_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated radiation diagnostics at 72 model layers, such as air temperature tendency due to longwave and air temperature tendency due to shortwave. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer.MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read "MERRA-2 File Specification Document", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
ScienceDex guides
Understand access before you commit
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.