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Using machine learning to modify and enhance the daily living questionnaire.

Peleg Panovka,Yaron Salman,Hagit Hel-Or,Sara Rosenblum,Joan Toglia,Naomi Josman,Tal Adamit

Digital health（2023）

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Abstract
Applying the ML-CAT model can thus serve to modify, refine and even abridge the current DLQ, thereby enabling wider community screening while also enhancing clinical and research utility.
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Key words
Functional cognition, daily living questionnaire, machine learning, computerized adaptive testing, ML-CAT
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