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Single-ended signaling is less expensive to implement than differential, but it has a distinct disadvantage: a single-ended system requires a power supply voltage equal to the maximum amplitude of the signal to be received whereas a differential system only requires a voltage half of the signal amplitude to be received.
Machine differential diagnosis is the use of computer software to partly or fully make a differential diagnosis. It may be regarded as an application of artificial intelligence. Alternatively, it may be seen as "augmented intelligence" if it meets the FDA criteria, namely that (1) it reveals the underlying data, (2) reveals the underlying logic ...
Example of differential diagnosis Over the last two centuries, western mental health science has focused on nosology whereby panels of experts identify hypothetical sets of signs and symptoms , label, and compile them into taxonomies such as the Diagnostic and Statistical Manual of Mental Disorders .
Dimensional models are intended to reflect what constitutes personality disorder symptomology according to a spectrum, rather than in a dichotomous way.As a result of this they have been used in three key ways; firstly to try to generate more accurate clinical diagnoses, secondly to develop more effective treatments and thirdly to determine the underlying etiology of disorders.
Detection theory or signal detection theory is a means to measure the ability to differentiate between information-bearing patterns (called stimulus in living organisms, signal in machines) and random patterns that distract from the information (called noise, consisting of background stimuli and random activity of the detection machine and of the nervous system of the operator).
Contrary to popular belief, differential signalling does not affect noise cancellation. Balanced lines with differential receivers will reject noise regardless of whether the signal is differential or single-ended, [1] [2] but since balanced line noise rejection requires a differential receiver anyway, differential signalling is often used on balanced lines.
Importantly, individuals can also differ not only in their current state, but in the magnitude or even direction of response to a given stimulus. [5] Such phenomena, often explained in terms of inverted-U response curves, place differential psychology at an important location in such endeavours as personalized medicine, in which diagnoses are customised for an individual's response profile.
For example, a diagnosis of major depressive disorder, a common mental illness, had a poor reliability kappa statistic of 0.28, indicating that clinicians frequently disagreed on diagnosing this disorder in the same patients. The most reliable diagnosis was major neurocognitive disorder, with a kappa of 0.78. [103]