Method and apparatus for the diagnosis of colorectal cancer

Data processing: artificial intelligence – Neural network

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706 38, 706 48, G06E 100, G06E 300, G06F 1518

Patent

active

059832118

ABSTRACT:
A process is set forth in which cancer of the colon is assessed in a patient. The probabilities of developing cancer involves the initial step of extracting a set of sample body fluids from the patient. Fluids can be evaluated to determine certain marker constituents in the body fluids. Fluids which are extracted have some relationship to me development of cancer, precancer or tendency toward cancerous conditions. The body fluid markers are measured and other quantified. The marker data then is evaluated using a nonlinear technique exemplified through the use of a multiple input and multiple output neural network having a variable learning rate and training rate. The neural network is provided with data from other patients for the same or similar markers. Data from other patients who did and did not have cancer is used in the learning of the neural network which thereby processes the data and provides a determination that the patient has a cancerous condition, precancer cells or a tendency towards cancer.

REFERENCES:
patent: 5790761 (1998-08-01), Heseltine et al.

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