Areas of Application
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Applications of pattern recognition followed by root-cause-analysis are not limited to clinical data. In any field where a decision is required to act upon a critical situation is of interest, such as activating a fire alarm, a collision warning, authentication, the monitoring of patients, character recognition, and more. The examples illustrate the main intent: minute differences in patterns must be detected and mathematically amplified to enable an unambiguous decision characterized by either spending a lot of money to act precautionary or to risk damage which might cause even higher losses. In addition, unresolved problems in applied sciences can be revisited. With more than enough data, attempts can be made to reveal hidden patterns so far undetected to improve the understanding of nature’s laws.