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In almost all real-life scenarios, the variables we are interested is not directly measurable (or are not practical to measure), “hidden” from us. We typically infer them by using “observable” variables. Think about stress. In modern life, stress is an inevitable ingredient. We cannot measure it directly, but make an estimate (modelling) via some observable variables such as sleep patterns, sweating, heart rate etc. This is more or less the case for a majority of medical diagnosis. Such a report would include observed symptoms, treatments applied, additional physiological measurements (e.g. blood analysis), opinions of the doctors, but not the disease itself. It is what is deduced from all this data.
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In almost all real-life scenarios, the variables we are interested is not directly measurable (or are not practical to measure), “hidden” from us. We typically infer them by using “observable” variables. Think about stress. In modern life, stress is an inevitable ingredient. We cannot measure it directly, but make an estimate (modelling) via some observable variables such as sleep patterns, sweating, heart rate etc. This is more or less the case for a majority of medical diagnosis. Such a report would include observed symptoms, treatments applied, additional physiological measurements (e.g. blood analysis), opinions of the doctors, but not the disease itself. It is what is deduced from all this data.
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