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Performance-weighted ensemble learning for detecting patients with FTD and ALS from short reading tasks

2026-02-23

Abstract excerpt

<title>Abstract</title> <p>We developed a novel machine learning model named performance-weighted ensemble learning (PWEL) to detect frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) using speech from word and sentence reading tasks. Overall, 197 participants (30 with FTD, 74 with ALS, and 93 healthy controls) were enrolled. The brief oral reading tasks consisted of 16 materials adapted from t...

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Literature Corpus work
9ba912ac-763f-5e87-bb13-1d8e502735d7
DOI
10.21203/rs.3.rs-7917087/v1
Open publication

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Performance-weighted ensemble learning for detecting patients with FTD and ALS from short reading tasksDOI 10.21203/rs.3.rs-7917087/v1
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