Data

ADNeT MCI to AD Predictor

Commonwealth Scientific and Industrial Research Organisation
Shishegar, Rosita ; Canovas, Rodrigo ; Mejan-Fripp, Jurgen
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://data.csiro.au/collection/csiro:64841?tab=data DataDownload&rft.title=ADNeT MCI to AD Predictor&rft.identifier=http://hdl.handle.net/102.100.100/701445?index=1&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This application predict the risk of progression from Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) for a new subject using demographic and biological features such as cognitive performance (e.g. MMSE score ≥27, indicating relatively preserved cognitive function despite MCI diagnosis), genetic risk factors (e.g. APOE4 positive status, which increases AD risk) and biomarker measurements (e.g. low Aβ value ≤44, suggesting lower levels of amyloid-beta protein)&rft.creator=Shishegar, Rosita &rft.creator=Canovas, Rodrigo &rft.creator=Mejan-Fripp, Jurgen &rft.date=2025&rft.edition=v2&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=Alzheimer's disease&rft_subject=Predicting disease progression&rft_subject=Mild Cognitive Impairment&rft_subject=Neurosciences not elsewhere classified&rft_subject=Neurosciences&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2025.

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This application predict the risk of progression from Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) for a new subject using demographic and biological features such as cognitive performance (e.g. MMSE score ≥27, indicating relatively preserved cognitive function despite MCI diagnosis), genetic risk factors (e.g. APOE4 positive status, which increases AD risk) and biomarker measurements (e.g. low Aβ value ≤44, suggesting lower levels of amyloid-beta protein)

Available: 2025-06-03

Data time period: 2025-02-26 to 2027-02-27

This dataset is part of a larger collection

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Subjects
Alzheimer's disease | Biomedical and Clinical Sciences | Mild Cognitive Impairment | Neurosciences | Neurosciences Not Elsewhere Classified | Predicting disease progression |

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Identifiers
ACN 633 798 857