Author

Daniela Caldirola

Humanitas UniversityORCID 0000-0002-1461-9475Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 1 shared David LoewensteiniD· 1 shared Giampaolo PernaiD· 1 shared Koen R.J. SchruersiD· 1 shared Massimiliano GrassiiD· 1 shared Michel DumontieriD· 1 shared Nadine RouleauxiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Alzheimer’s Disease Neuroimaging Initiative

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1 paper

Recent·Most cited

NeuroscienceFrontiers in NeurologyPeer-reviewedJul 16, 2019

A Novel Ensemble-Based Machine Learning Algorithm To Predict The Conversion From Mild Cognitive Impairment To Alzheimer's Disease Using Socio-demographic Characteristics, Clinical Information And Neuropsychological Measures

Massimiliano Grassi, Nadine Rouleaux, Daniela Caldirola…·Alzheimer’s Disease Neuroimaging Initiative

The paper develops a machine learning algorithm to predict MCI conversion to AD using clinical data, achieving high AUROC and sensitivity.

126 citationstop 1%

humanelectronic health records

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