Bayesian Network Cough and Low Fever TB Probability Calculator
Bayesian network cough and low fever TB probability calculation is a statistical method used to estimate the likelihood of having tuberculosis (TB) given symptoms of cough and low fever. It’s crucial for early detection and treatment of TB.
- Enter your cough and low fever percentages (0-100%).
- Click ‘Calculate’.
- View your TB probability result and chart.
The calculation uses Bayes’ theorem and prior probabilities based on epidemiological data. The formula is: P(TB | Cough, Fever) = (P(Cough | TB) * P(Fever | TB) * P(TB)) / (P(Cough | TB) * P(Fever | TB) * P(TB) + P(Cough | ~TB) * P(Fever | ~TB) * P(~TB)).
| Cough (%) | Low Fever (%) | TB Probability (%) |
|---|---|---|
| 50 | 30 | 12.5 |
| 80 | 60 | 45.5 |
- Consider other symptoms like weight loss and night sweats.
- Consult a healthcare professional for medical advice.
What is a Bayesian network?
A Bayesian network is a probabilistic graphical model that represents conditional dependencies and joint probability distributions.
World Health Organization – Centers for Disease Control and Prevention