CDR Global
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Early Detection of Alzheimer's Disease Using Explainable Machine Learning on Clinical Biomarkers: A Multi-Class Classification Study Using the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset
Announce Type: new Abstract: Background: Alzheimer's disease (AD) affects over 55 million people worldwide. Accurate, interpretable detection of normal cognition (NC), mild cognitive impairment (MCI), and AD from routine clinical assessments remains a critical unmet need. Methods: An XGBoost classifier was developed for three-class detection using eight clinical features from the Alzheimer's Disease Neuroimaging Initiative (ADNI): MMSE, CDR Global, CDR Sum of Boxes (CDR-SB), MoCA, FAQ, age,...
New ways to remove CO2 from atmosphere must grow much faster, report says
Novel forms of CO2 removal must expand at ‘highly ambitious rates’ if world is to limit global heating to 1.5C, says studyHumanity must suck carbon out of the atmosphere with new technologies even faster than the breakneck speed with which it has deployed solar panels if it is to limit global heating to 1.5C, a report has found. Novel forms of carbon dioxide removal (CDR) must grow at “highly ambitious rates” to bridge the gap between what governments have pledged to clean up and what is...