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Machine learning on longitudinal multi-modal data enabling the understanding and prognosis of Alzheimer’s disease progression

2023-05-25

Abstract excerpt

<title>Abstract</title> <p>Background Alzheimer’s disease (AD) is a complex pathophysiological disease. Its progression is heterogenous and associated with clinical symptoms as well as prognosis. Hence, understanding the progression of AD is important in guiding patient management, evaluating treatment response and designing therapeutic trials. We developed and validated a novel machine learning model for reveali...

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Literature Corpus work
78e61fdd-0f80-5651-9e2a-459c9d900ec1
DOI
10.21203/rs.3.rs-2924370/v1
Open publication

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Machine learning on longitudinal multi-modal data enabling the understanding and prognosis of Alzheimer’s disease progressionDOI 10.21203/rs.3.rs-2924370/v1
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