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Given
Given a child’s risk
factors, can the model
predict asthma?
Asthma
No asthma
P: 101 children with asthma
101 children without asthma
age 7 months to 12 years
I: 36 risk factors
O: Accuracy of model -
Random forest 84.9%
Decision tree 75.19%
Jeddi, Z., Gryech, I., Ghogho, M., El Hammoumi, M., & Mahraoui, C. (2021). Machine Learning for Predicting the Risk for Childhood Asthma Using
Prenatal, Perinatal, Postnatal and Environmental Factors. Healthcare (Basel, Switzerland), 9(11), 1464. https://doi.org/10.3390/healthcare9111464
@endocrine_witch CC BY NC ND
@endocrine_witch CC BY NC ND
https://sites.research.google/med-palm/
@endocrine_witch CC BY NC ND
@endocrine_witch CC BY NC ND
https://sites.research.google/med-palm/
https://sites.research.google/med-palm/
@endocrine_witch CC BY NC ND
Med-PaLM-M
@endocrine_witch CC BY NC ND
@endocrine_witch CC BY NC ND
@endocrine_witch CC BY NC ND
@endocrine_witch CC BY NC ND
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