Predicting recovery from aphasia with connectionist networks: preliminary comparisons with multiple regression.
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Predicting long-term outcome after traumatic brain injury using repeated measurements of Glasgow Coma Scale and data mining methods.Interactions between recovery in aphasia, emotional and psychosocial factors in subjects with aphasia, their significant others and speech pathologists.Quantitative classification of conversational language using artificial neural networksAnalysis of spontaneous, conversational speech in dementia of Alzheimer type: Evaluation of an objective technique for analysing lexical performance
P2860
Predicting recovery from aphasia with connectionist networks: preliminary comparisons with multiple regression.
description
1994 nî lūn-bûn
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1994年の論文
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1994年学术文章
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1994年学术文章
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name
Predicting recovery from aphas ...... sons with multiple regression.
@en
Predicting recovery from aphas ...... sons with multiple regression.
@nl
type
label
Predicting recovery from aphas ...... sons with multiple regression.
@en
Predicting recovery from aphas ...... sons with multiple regression.
@nl
prefLabel
Predicting recovery from aphas ...... sons with multiple regression.
@en
Predicting recovery from aphas ...... sons with multiple regression.
@nl
P2093
P1433
P1476
Predicting recovery from aphas ...... sons with multiple regression.
@en
P2093
P304
P356
10.1016/S0010-9452(13)80348-6
P577
1994-09-01T00:00:00Z