Apparatus for diagnosing cerebral infarction
Abstract
Abstract A novel apparatus for diagnosing cerebral infarction uses a neural network, wherein plural sets of data previously obtained from healthy and sick person, each including an age, measured values of coagulo-fibrinolytic molecular markers (e.g. D-dimer, TAT and PAP), an index indicative of the state of cerebral infarction (e.g. 0 for healthy persons and 1 for sick persons) are repeatedly input into a neural network to let is learn the correlation to these characteristics and, thereafter, a set of data of a person to be diagnosed, including his age, measured values of the coagulo-fibrinolytic molecular markers and the like, are input into the neural network to obtain an index indicative of his state of cerebral infarction as a degree of dangerousness of cerebral infarction. This apparatus carries out a method which is significantly higher in accuracy as compared with the prior art methods using the same data.
Inventors
- 👤 Kazuyuki Kanai
Bibliographic Details
Claims Analysis
Total Claims: 5References Cited (Backward Citations)
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