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Updated: Jul 26, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Gradual approach for the etiological diagnosis of the neurocognitive disorder]
Daniel Knüsel1, Olivier Rouaud2, Delphine Renard3
1Cabinet médical de Baulmes, Réseau, rue de la Gare 1, 1446 Baulmes.
Abstract:
Neurocognitive disorders (TNC) are of a public health concern. An early and accurate diagnosis is important to tailor a personalised care. We illustrate the importance of a graduated etiological diagnostic approach centered on the clinical presentation employing the case of a patient with a progressive neurovisual disorder suggestive of a common form of Alzheimer's disease. The results of the CSF biomarkers analysis argue against this diagnosis and justifies seeking a Lewy body disease as a differential diagnosis even if all the clinical criteria are initially incomplete. In this article, we illustrate the progressive and graduated approach in the use of complementary medical tests available for reliable and early diagnosis in order to optimise the care plan and predict clinical progress and needs.
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