ArturG9 commited on
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70b38f3
1 Parent(s): 2e49303

Update app.py

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  1. app.py +4 -3
app.py CHANGED
@@ -97,12 +97,13 @@ if option == "Information about training data":
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  st.subheader("According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths. This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relavant information about the patient.")
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  st.markdown("### Disclaimer: This project is made out of one American hospital data. For this model to be more relevant to predict your health, it has to bee trained on your population data")
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  st.subheader(" Stroke dataset has 5110 records and 12 features.")
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- st.image(r'Shap_Values.png')
 
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  st.subheader(" Fun fact:")
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  st.markdown(" ## People who have formerly smoked, have the highest stroke risk :.")
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- st.image(r'Correlation.png')
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  st.subheader(" ## Age importance in risk of Stroke:.")
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- st.image(r'Correlation.png')
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  st.markdown(" ## Stroke risk increases from 40 years:.")
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  st.subheader(" ## Correlation between features:.")
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  st.image(r'Correlation.png')
 
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  st.subheader("According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths. This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relavant information about the patient.")
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  st.markdown("### Disclaimer: This project is made out of one American hospital data. For this model to be more relevant to predict your health, it has to bee trained on your population data")
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  st.subheader(" Stroke dataset has 5110 records and 12 features.")
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+ st.image(r'Stroke_between_respondents.png')
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+ st.markdown(" ### 4.9& of all respondets had a stroke :.")
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  st.subheader(" Fun fact:")
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  st.markdown(" ## People who have formerly smoked, have the highest stroke risk :.")
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+ st.image(r'smoking_status.png')
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  st.subheader(" ## Age importance in risk of Stroke:.")
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+ st.image(r'Stroke_age.png')
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  st.markdown(" ## Stroke risk increases from 40 years:.")
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  st.subheader(" ## Correlation between features:.")
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  st.image(r'Correlation.png')