Early Diagnosis of Acute Myocardial Infarction (MI): A Novel Approach to Decision Making Using Neural Networks

Kennedy, RL; Harrison, RF; Kirklis, K; Moriarty, KT; Gangi, MT; Shaukat, HN; Young, MJ

doi:10.1042/cs078024Pb

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Conference Abstract| January 01 1990

Early Diagnosis of Acute Myocardial Infarction (MI): A Novel Approach to Decision Making Using Neural Networks

RL Kennedy;

RL Kennedy

1Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield

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RF Harrison;

RF Harrison

1Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield

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K Kirklis;

K Kirklis

1Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield

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KT Moriarty;

KT Moriarty

1Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield

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MT Gangi;

MT Gangi

1Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield

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HN Shaukat;

HN Shaukat

1Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield

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MJ Young

1Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield

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Clin Sci (Lond) (1990) 78 (s22): 24P–25P.

https://doi.org/10.1042/cs078024Pb

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