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Difference between revisions of "Logic of medical language"
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P(D_1|S) = \frac{P(S | D_1) \cdot P(D_1)}{P(S)} = \frac{0.8 \cdot 0.3}{0.34} \approx 0.706 | P(D_1|S) = \frac{P(S | D_1) \cdot P(D_1)}{P(S)} = \frac{0.8 \cdot 0.3}{0.34} \approx 0.706 | ||
</math> and <math>P(D_2 | S) = \frac{P(S | D_2) \cdot P(D_2)}{P(S)} = \frac{0.5 \cdot 0.2}{0.34} \approx 0.294 | </math> and <math>P(D_2 | S) = \frac{P(S | D_2) \cdot P(D_2)}{P(S)} = \frac{0.5 \cdot 0.2}{0.34} \approx 0.294 | ||
</math> |2}} '''Interpretation:''' In this example, the probability of a diagnosis for TMD is approximately 70.6%, while for neuropathic pain it is about 29.4%. This demonstrates how symptoms can be "decoded" to arrive at a more accurate diagnosis, highlighting the need to interpret the body's signals within the context of clinical communication and interdisciplinary knowledge. This practical application of the metaphor of encrypted machine language illustrates the complexity of the diagnostic process and the importance of clear and precise communication between patients and healthcare providers.}}" a metaphor for the ways in which the human body communicates information through symptoms and signs that must be decripted. In future chapters, we will delve deeper into the logic of medical language, examining how time, logic, and the concept of assembler codes can be used to improve diagnostic accuracy. These discussions will be crucial in understanding how medical practitioners can mitigate the effects of ambiguity and vagueness in clinical communication, ultimately leading to more precise and effective patient care. | </math> |2}}'''Interpretation:''' In this example, the probability of a diagnosis for TMD is approximately 70.6%, while for neuropathic pain it is about 29.4%. This demonstrates how symptoms can be "decoded" to arrive at a more accurate diagnosis, highlighting the need to interpret the body's signals within the context of clinical communication and interdisciplinary knowledge. This practical application of the metaphor of encrypted machine language illustrates the complexity of the diagnostic process and the importance of clear and precise communication between patients and healthcare providers.}}" a metaphor for the ways in which the human body communicates information through symptoms and signs that must be decripted. In future chapters, we will delve deeper into the logic of medical language, examining how time, logic, and the concept of assembler codes can be used to improve diagnostic accuracy. These discussions will be crucial in understanding how medical practitioners can mitigate the effects of ambiguity and vagueness in clinical communication, ultimately leading to more precise and effective patient care. | ||
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