"Datasets as Topic" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Subject matter related to the curation of data from research projects, stored permanently in a formalized manner suitable for communication, interpretation, or processing.
| Descriptor ID |
D066264
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| MeSH Number(s) |
E05.318.308.056 L01.313.500.750.300.188.400.500 L01.399.250.224 L01.470.750.750.431 N05.715.360.300.224 N06.850.520.308.056
|
| Concept/Terms |
|
Below are MeSH descriptors whose meaning is more general than "Datasets as Topic".
Below are MeSH descriptors whose meaning is more specific than "Datasets as Topic".
This graph shows the total number of publications written about "Datasets as Topic" by people in this website by year, and whether "Datasets as Topic" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2014 | 1 | 3 | 4 |
| 2016 | 2 | 4 | 6 |
| 2017 | 2 | 6 | 8 |
| 2018 | 0 | 4 | 4 |
| 2019 | 0 | 9 | 9 |
| 2020 | 0 | 10 | 10 |
| 2021 | 1 | 7 | 8 |
| 2022 | 0 | 2 | 2 |
| 2023 | 0 | 4 | 4 |
| 2024 | 0 | 4 | 4 |
| 2025 | 3 | 0 | 3 |
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Below are the most recent publications written about "Datasets as Topic" by people in Profiles.
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The First International Consortium for Health Outcomes Measurement (ICHOM) Standard Dataset for Reporting Outcomes in Heart Valve Disease: Moving From Device- to Patient-Centered Outcomes. Innovations (Phila). 2025 Mar-Apr; 20(2):133-147.
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The First International Consortium for Health Outcomes Measurement (ICHOM) Standard Dataset for Reporting Outcomes in Heart Valve Disease: Moving From Device- to Patient-Centered Outcomes: Developed by a multisociety taskforce coordinated by the Heart Valve Society (HVS) including the American Heart Association (AHA), the American College of Cardiology (ACC), the European Association for Cardio-Thoracic Surgery (EACTS), the European Society of Cardiology (ESC), The Society of Thoracic Surgeons (STS), the Australian & New Zealand Society of Cardiac & Thoracic Surgeons (ANZSCTS), the International Society for Applied Cardiovascular Biology (ISACB), the International Society for Minimally Invasive Cardiothoracic Surgery (ISMICS), the South African Heart Association (SHA), Heart Valve Voice, and Global Heart Hub. Circ Cardiovasc Qual Outcomes. 2025 Mar; 18(3):e000128.
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The First International Consortium for Health Outcomes Measurement (ICHOM) Standard Dataset for Reporting Outcomes in Heart Valve Disease: Moving From Device- to Patient-Centered Outcomes. Eur J Cardiothorac Surg. 2025 Feb 04; 67(2).
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A pathology foundation model for cancer diagnosis and prognosis prediction. Nature. 2024 Oct; 634(8035):970-978.
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Development and external validation of deep learning clinical prediction models using variable-length time series data. J Am Med Inform Assoc. 2024 May 20; 31(6):1322-1330.
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Diagnostic Identification of Acute Brain Dysfunction in Pediatric Sepsis and Septic Shock in the Electronic Health Record: A Comparison of Four Definitions in a Reference Dataset. Pediatr Crit Care Med. 2024 Aug 01; 25(8):740-747.
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Dissection and integration of bursty transcriptional dynamics for complex systems. Proc Natl Acad Sci U S A. 2024 Apr 30; 121(18):e2306901121.
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Brain-wide correspondence of neuronal epigenomics and distant projections. Nature. 2023 Dec; 624(7991):355-365.
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A genomic mutational constraint map using variation in 76,156 human genomes. Nature. 2024 Jan; 625(7993):92-100.
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Large-scale plasma proteomics comparisons through genetics and disease associations. Nature. 2023 Oct; 622(7982):348-358.