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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +20 -22
src/streamlit_app.py
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@@ -25,30 +25,28 @@ st.set_page_config(
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initial_sidebar_state="expanded",
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)
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st.markdown(
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"""
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<div style=
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<p style="max-width:900px; margin:8px auto 0 auto;">
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It also supports overall survival (all-cause mortality) risk estimation
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and incorporates structured variables and preprocessing pipelines
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in preparation for time-to-event modeling using Cox Proportional
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Hazards analysis.
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</p>
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<p style="max-width:900px; margin:8px auto 0 auto;">
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Enter recipient and donor details below to generate individualized
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risk predictions.
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</p>
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<p style="max-width:900px; margin:12px auto 0 auto; font-size:14px; color:gray;">
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Research tool only — not validated for clinical use.
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</p>
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</div>
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""",
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unsafe_allow_html=True
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initial_sidebar_state="expanded",
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)
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# ---------- App Header ----------
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st.markdown(
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"""
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<h1 style='text-align: center; margin-bottom: 10px;'>
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GVHD-Intel Pro
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</h1>
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""",
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unsafe_allow_html=True
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)
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st.markdown(
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"""
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<div style='font-size:16px; line-height:1.6;'>
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A modular clinical decision-support framework for predicting Acute GVHD and Chronic GVHD risk after HSCT using machine learning models trained on transplant datasets.
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The platform provides explainability by displaying the top 20 risk factors contributing to each prediction.<br><br>
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It also supports overall survival (all-cause mortality) risk estimation using Cox Proportional Hazards analysis.<br><br>
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Enter recipient and donor details below to generate individualized risk predictions.<br><br>
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<b>Research tool only — not validated for clinical use.</b>
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</div>
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""",
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unsafe_allow_html=True
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