Early Diagnosis of Acute Myocardial Infarction (MI): A Novel Approach to Decision Making Using Neural Networks
RL Kennedy, RF Harrison, K Kirklis, KT Moriarty, MT Gangi, HN Shaukat, MJ Young
Clinical Science Jan 01, 1990, 78 (s22) 24P-25P; DOI: 10.1042/cs078024Pb
RL Kennedy
Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield
RF Harrison
Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield
K Kirklis
Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield
KT Moriarty
Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield
MT Gangi
Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield
HN Shaukat
Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield
MJ Young
Departments of Medicine and Control Engineering, University of Sheffield, Western Bank, Sheffield

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Early Diagnosis of Acute Myocardial Infarction (MI): A Novel Approach to Decision Making Using Neural Networks
RL Kennedy, RF Harrison, K Kirklis, KT Moriarty, MT Gangi, HN Shaukat, MJ Young
Clinical Science Jan 1990, 78 (s22) 24P-25P; DOI: 10.1042/cs078024Pb
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