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| import joblib | |
| import pandas as pd | |
| import streamlit as st | |
| # โหลดโมเดลที่คุณได้ฝึกเสร็จแล้ว | |
| model = joblib.load('logistic_regression_model.pkl') | |
| def main(): | |
| st.title("Healthcare Prediction") | |
| # สร้างฟอร์มสำหรับกรอกข้อมูล | |
| with st.form("questionaire"): | |
| child = st.number_input("Child", min_value=0, max_value=10) | |
| hct = st.number_input("Hematocrit", min_value=10.0, max_value=100.0) | |
| inr = st.number_input("INR", min_value=0.0, max_value=10.0) | |
| alb = st.number_input("Albumin", min_value=0.0, max_value=10.0) | |
| tb = st.number_input("Total Bilirubin", min_value=0.0, max_value=20.0) | |
| ascites = st.slider("Ascites", min_value=0, max_value=10) | |
| hepencep = st.slider("Hepatic Encephalopathy", min_value=0, max_value=10) | |
| bclcstage = st.slider("BCLC Stage", min_value=1, max_value=4) | |
| sen = st.slider("SEN", min_value=1, max_value=20) | |
| active = st.slider("Active", min_value=0, max_value=10) | |
| pvinvade = st.slider("PV Invasion", min_value=0, max_value=10) | |
| hivicinvade = st.slider("HIV Invasion", min_value=0, max_value=10) | |
| treat_embolize = st.slider("Treatment Embolize", min_value=0, max_value=10) | |
| treat_surgery = st.slider("Treatment Surgery", min_value=0, max_value=10) | |
| sex_male = st.selectbox("Sex (Male)", [0, 1]) # 0 = Female, 1 = Male | |
| shock_Shock = st.slider("Shock (Shock)", min_value=0, max_value=10) | |
| loctumor_left_lobe = st.slider("Tumor Left Lobe", min_value=0, max_value=10) | |
| locbleed_left_lobe = st.slider("Bleed Left Lobe", min_value=0, max_value=10) | |
| locbleed_right_lobe = st.slider("Bleed Right Lobe", min_value=0, max_value=10) | |
| # เมื่อผู้ใช้กดปุ่ม Predict | |
| clicked = st.form_submit_button("Predict Health Outcome") | |
| if clicked: | |
| # ทำการทำนายโดยใช้โมเดล | |
| result = model.predict(pd.DataFrame({ | |
| "child": [child], | |
| "hct": [hct], | |
| "inr": [inr], | |
| "alb": [alb], | |
| "tb": [tb], | |
| "ascites": [ascites], | |
| "hepencep": [hepencep], | |
| "bclcstage": [bclcstage], | |
| "sen": [sen], | |
| "active": [active], | |
| "pvinvade": [pvinvade], | |
| "hvivcinvade": [hivicinvade], | |
| "treat_embolize": [treat_embolize], | |
| "treat_surgery": [treat_surgery], | |
| "sex_male": [sex_male], | |
| "shock_Shock": [shock_Shock], | |
| "loctumor_left_lobe": [loctumor_left_lobe], | |
| "locbleed_left_lobe": [locbleed_left_lobe], | |
| "locbleed_right_lobe": [locbleed_right_lobe] | |
| })) | |
| # แสดงผลลัพธ์ | |
| result = 'Diabetes' if result[0] == 1 else 'Not Diabetes' | |
| st.success(f'The predicted result is: {result}') | |
| if __name__ == '__main__': | |
| main() | |