[Computer technology in clinical preventive medicine].
Predicting who will suffer from diseases in the future is basically mathematical work. Current computer technology will accelerate the progress of preventive medicine. In this respect, there are two useful tools for the research. First, long-term archiving of health-care information is valuable in a retrospective study, such as, determination of diagnostic criteria for the prediction. Health-care information here includes past history, laboratory data, and dietary habits. Using such criteria, potential patients can be discriminated from truly healthy persons. Second, prediction is successfully carried out on the basis of mathematical equations which represent the relationship between disease status and health-care information. In conclusion, technology for database management and mathematical modelling is essential for the basic study in preventive medicine.
Okada
M
M
Department of Laboratory Medicine, Niigata University School of Medicine.
D001771:Blood Banks; D002984:Clinical Laboratory Information Systems; D003198:Computer Simulation; D006801:Humans; D007564:Japan / Q000453:epidemiology; D009369:Neoplasms / Q000401:mortality; D011315:Preventive Medicine / Q000191:economics; D011336:Probability