Consider when you are listening to a new patient who says they have had a fever for 3 days.
You would use your knowledge and experience with probability to come to a diagnosis.
What changes those probabilities? Is it a
...
Consider when you are listening to a new patient who says they have had a fever for 3 days.
You would use your knowledge and experience with probability to come to a diagnosis.
What changes those probabilities? Is it age, is it other symptoms, is it new study results?
What is the source of these probabilities and what causes these probabilities to change?
This discussion is not to debate diagnoses, but to focus on the sources and influences on
probabilities.
A probabilistic approach to patient diagnosis is too often taken for granted by both
physicians and patients. Although some physicians express their uncertainty as to the probability
that the patient has a specified disease, using probability rather than ambiguous terms such as
"probably" or "possibly" enables the clinician expresses uncertainty or certainty quantitatively
(Liu et al., 2018). Considering the provided case in which the patient has had a fever for three
days, the knowledge and experience with probability can be helpful in the diagnosis.
Probabilities can be changed by how the patient describes the symptoms; for instance, a clear and
accurate description of the symptoms leads to more certain probabilities being generated. Age
can also be a factor given that some conditions become amplified with age, and new study results
about the condition can also help inform the generation or more accurate probabilities.
The source of the probabilities would be clinical journals, besides one’s experience in the
field. Tests conducted in a medical lab, besides other diagnostic methods like ultrasound,
radiography, and magnetic resonance imaging can cause established probabilities to change.
Clinical prediction rules related to the intersection of events and conditional probability can have
a notable influence on probabilities (Sargolzaei et al., 2015; Holmes, Illowsky, & Dean, 2018).
References
This study source was downloaded by 100000831988016 from CourseHero.com on 01-06-2022 10:22:30 GMT -06:00
https://www.coursehero.com/file/45661442/MATH-225N-Week-4-Discussion-Probabilitydocx/
Holmes, A., Illowsky, B. & Dean, S. (2018). Introductory business statistics. Houston, TX:
OpenStax
Liu, S., Zeng, J., Gong, H., Yang, H., Zhai, J., Cao, Y., ... & Ding, X. (2018). Quantitative
analysis of breast cancer diagnosis using a probabilistic modelling approach. Computers
in biology and medicine, 92, 168-175.
Sargolzaei, S., Cabrerizo, M., Sargolzaei, A., Noei, S., Eddin, A. S., Rajaei, H., ... & Adjouadi,
M. (2015). A probabilistic approach for pediatric epilepsy diagnosis using brain
functional connectivity networks. BMC bioinformatics, 16(7), S9.
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