', unsafe_allow_html=True)
if language == "English":
st.markdown('
👨⚕️ Comprehensive Patient Assessment
', unsafe_allow_html=True)
st.write("Complete the following form for comprehensive patient risk assessment and priority scoring")
else:
st.markdown('
👨⚕️ جامع مریض تشخیص
', unsafe_allow_html=True)
st.write("جامع مریض کے خطرے کی تشخیص اور ترجیحی اسکورنگ کے لیے درج ذیل فارم کو مکمل کریں")
with st.form("patient_assessment_form"):
col1, col2 = st.columns(2)
with col1:
# Basic Information
if language == "English":
st.subheader("Personal Information")
name = st.text_input("Full Name", placeholder="Enter patient's full name")
age = st.number_input("Age", min_value=1, max_value=120, value=45,
help="Patient's age in years")
gender = st.selectbox("Gender", ["Male", "Female", "Other"])
contact = st.text_input("Contact Number", placeholder="03XX-XXXXXXX")
else:
st.subheader("ذاتی معلومات")
name = st.text_input("مکمل نام", placeholder="مریض کا مکمل نام درج کریں")
age = st.number_input("عمر", min_value=1, max_value=120, value=45,
help="مریض کی عمر سالوں میں")
gender = st.selectbox("جنس", ["مرد", "عورت", "دیگر"])
contact = st.text_input("رابطہ نمبر", placeholder="03XX-XXXXXXX")
with col2:
# Vital Signs
if language == "English":
st.subheader("Clinical Parameters")
bp_systolic = st.slider("Blood Pressure (systolic)",
min_value=70, max_value=250, value=120,
help="Systolic blood pressure in mmHg")
bp_diastolic = st.slider("Blood Pressure (diastolic)",
min_value=40, max_value=150, value=80,
help="Diastolic blood pressure in mmHg")
heart_rate = st.slider("Heart Rate (bpm)",
min_value=30, max_value=200, value=72,
help="Heart beats per minute")
cholesterol = st.slider("Cholesterol Level (mg/dL)",
min_value=100, max_value=400, value=180)
glucose = st.slider("Blood Glucose (mg/dL)",
min_value=50, max_value=500, value=95)
bmi = st.slider("BMI", min_value=15.0, max_value=40.0, value=23.5, step=0.1)
else:
st.subheader("کلینیکل پیرامیٹرز")
bp_systolic = st.slider("بلڈ پریشر (سسٹولک)",
min_value=70, max_value=250, value=120,
help="سسٹولک بلڈ پریشر mmHg میں")
bp_diastolic = st.slider("بلڈ پریشر (ڈائیسٹولک)",
min_value=40, max_value=150, value=80,
help="ڈائیسٹولک بلڈ پریشر mmHg میں")
heart_rate = st.slider("دل کی دھڑکن (bpm)",
min_value=30, max_value=200, value=72,
help="دل کی دھڑکن فی منٹ")
cholesterol = st.slider("کولیسٹرول کی سطح (mg/dL)",
min_value=100, max_value=400, value=180)
glucose = st.slider("خون میں گلوکوز (mg/dL)",
min_value=50, max_value=500, value=95)
bmi = st.slider("باڈی ماس انڈیکس", min_value=15.0, max_value=40.0, value=23.5, step=0.1)
# Symptoms Section
if language == "English":
st.subheader("Reported Symptoms")
col3, col4 = st.columns(2)
with col3:
chest_pain = st.checkbox("Chest Pain or Discomfort")
shortness_breath = st.checkbox("Shortness of Breath")
palpitations = st.checkbox("Heart Palpitations")
with col4:
fatigue = st.checkbox("Persistent Fatigue")
dizziness = st.checkbox("Dizziness or Lightheadedness")
blurred_vision = st.checkbox("Blurred Vision")
else:
st.subheader("رپورٹ کردہ علامات")
col3, col4 = st.columns(2)
with col3:
chest_pain = st.checkbox("سینے میں درد یا بے چینی")
shortness_breath = st.checkbox("سانس لینے میں دشواری")
palpitations = st.checkbox("دل کی دھڑکن میں اضافہ")
with col4:
fatigue = st.checkbox("مسلسل تھکاوٹ")
dizziness = st.checkbox("چکر آنا یا سر ہلکا محسوس ہونا")
blurred_vision = st.checkbox("دھندلا نظر آنا")
# Assessment Button
if language == "English":
assess_button = st.form_submit_button("🚀 Calculate Risk Score & Priority",
use_container_width=True)
else:
assess_button = st.form_submit_button("🚀 خطرے کا اسکور اور ترجیح معلوم کریں",
use_container_width=True)
if assess_button:
# Validate inputs
validation_errors = validate_patient_data(age, bp_systolic, bp_diastolic, heart_rate)
if validation_errors:
for error in validation_errors:
st.error(f"❌ {error}")
else:
try:
with st.spinner("🔍 Analyzing patient data and calculating risks..."):
# Prepare symptoms dictionary
symptoms_dict = {
'chest_pain': chest_pain,
'shortness_breath': shortness_breath,
'palpitations': palpitations,
'fatigue': fatigue,
'dizziness': dizziness,
'blurred_vision': blurred_vision
}
# Store patient data
st.session_state.patient_data = {
'name': name,
'age': age,
'gender': gender,
'contact': contact,
'bp_systolic': bp_systolic,
'bp_diastolic': bp_diastolic,
'heart_rate': heart_rate,
'cholesterol': cholesterol,
'glucose': glucose,
'bmi': bmi,
'symptoms': symptoms_dict
}
# Predict risks using ML models
heart_risk, diabetes_risk, hypertension_risk = predict_with_models(
age, bp_systolic, bp_diastolic, heart_rate,
cholesterol, glucose, bmi, symptoms_dict, models, scalers
)
# Calculate integrated priority score
priority_score = calculate_priority_score(
heart_risk, diabetes_risk, hypertension_risk
)
priority_level, recommendation, risk_class = get_priority_recommendation(
priority_score, language
)
# Store results
st.session_state.risk_scores = {
'heart': heart_risk,
'diabetes': diabetes_risk,
'hypertension': hypertension_risk,
'priority': priority_score,
'recommendation': recommendation,
'level': priority_level
}
# Add to assessment history
st.session_state.assessment_history.append({
'timestamp': datetime.now(),
'patient_data': st.session_state.patient_data.copy(),
'risk_scores': st.session_state.risk_scores.copy()
})
# Display results
st.markdown("---")
st.success("✅ Risk assessment completed successfully!")
# Risk Scores Visualization
if language == "English":
st.subheader("📊 Disease Risk Assessment Dashboard")
else:
st.subheader("📊 بیماری کے خطرے کی تشخیص ڈیش بورڈ")
col5, col6, col7, col8 = st.columns(4)
risk_metrics = [
(heart_risk, "Heart Disease", "❤️", "#FF6B6B"),
(diabetes_risk, "Diabetes", "🩺", "#4ECDC4"),
(hypertension_risk, "Hypertension", "💓", "#45B7D1"),
(priority_score, "Priority Score", "🎯", "#96CEB4")
]
for (value, title, emoji, color), col in zip(risk_metrics, [col5, col6, col7, col8]):
with col:
fig = go.Figure(go.Indicator(
mode = "gauge+number+delta",
value = value,
domain = {'x': [0, 1], 'y': [0, 1]},
title = {'text': f"{emoji} {title}", 'font': {'size': 14}},
gauge = {
'axis': {'range': [0, 1], 'tickwidth': 1},
'bar': {'color': color},
'steps': [
{'range': [0, 0.3], 'color': "lightgreen"},
{'range': [0.3, 0.7], 'color': "yellow"},
{'range': [0.7, 1], 'color': "red"}
],
'threshold': {
'line': {'color': "black", 'width': 4},
'thickness': 0.75,
'value': 0.7
}
}
))
fig.update_layout(height=250, margin=dict(l=10, r=10, t=50, b=10))
st.plotly_chart(fig, use_container_width=True)
# Priority Recommendation
st.markdown(f'
', unsafe_allow_html=True)
if language == "English":
st.markdown(f"## 🎯 Clinical Priority Recommendation")
st.markdown(f"### {recommendation}")
st.markdown(f"**Overall Risk Score:** `{priority_score:.3f}`")
st.markdown(f"**Recommended Action:** `{priority_level.replace('_', ' ').title()}`")
# Additional clinical guidance
if priority_level == "EMERGENCY_CARE":
st.warning("🚨 **Immediate Action Required:** Patient should be directed to emergency department without delay.")
elif priority_level == "SAME_DAY_CONSULT":
st.info("ℹ️ **Urgent Consultation:** Schedule appointment within 24 hours.")
else:
st.success("✅ **Routine Care:** Schedule within regular appointment system.")
else:
st.markdown(f"## 🎯 کلینیکل ترجیحی سفارش")
st.markdown(f"### {recommendation}")
st.markdown(f"**کل خطرے کا اسکور:** `{priority_score:.3f}`")
st.markdown(f"**سفارش کردہ عمل:** `{priority_level.replace('_', ' ').title()}`")
if priority_level == "EMERGENCY_CARE":
st.warning("🚨 **فوری کارروائی ضروری:** مریض کو بغیر کسی تاخیر کے ایمرجنسی ڈیپارٹمنٹ بھیجا جائے۔")
elif priority_level == "SAME_DAY_CONSULT":
st.info("ℹ️ **فوری مشاورت:** 24 گھنٹے کے اندر اپائنٹمنٹ شیڈول کریں۔")
else:
st.success("✅ **روٹین کیئر:** معمول کی اپائنٹمنٹ سسٹم کے اندر شیڈول کریں۔")
st.markdown('
', unsafe_allow_html=True)
except Exception as e:
st.error(f"❌ Error in risk assessment: {str(e)}")
st.markdown('
', unsafe_allow_html=True)
if language == "English":
st.markdown('
💬 SehatAI Health Assistant
', unsafe_allow_html=True)
st.write("Ask health-related questions and get instant, reliable medical information")
else:
st.markdown('
💬 سیحت اے آئی ہیلتھ اسسٹنٹ
', unsafe_allow_html=True)
st.write("صحت سے متعلق سوالات پوچھیں اور فوری، قابل اعتماد طبی معلومات حاصل کریں")
# Display chat history
for message in st.session_state.chat_history:
if message["role"] == "user":
st.markdown(f'
You: {message["content"]}
', unsafe_allow_html=True)
else:
st.markdown(f'
🤖 Health Assistant: {message["content"]}
', unsafe_allow_html=True)
# Chat input
if prompt := st.chat_input(
"Type your health question here..." if language == "English"
else "اپنا صحت کا سوال یہاں ٹائپ کریں..."
):
# Add user message to chat history
st.session_state.chat_history.append({"role": "user", "content": prompt})
# Generate bot response
with st.spinner("💭 Analyzing your question..." if language == "English" else "💭 آپ کا سوال تجزیہ ہو رہا ہے..."):
response = chatbot.get_response(prompt, language)
st.session_state.chat_history.append({"role": "assistant", "content": response})
# Limit chat history to last 10 messages
if len(st.session_state.chat_history) > 10:
st.session_state.chat_history = st.session_state.chat_history[-10:]
st.rerun()
# Quick action buttons
if language == "English":
st.subheader("Quick Health Topics")
else:
st.subheader("فوری صحت کے موضوعات")
col_qa1, col_qa2, col_qa3, col_qa4 = st.columns(4)
with col_qa1:
if st.button("❤️ Heart Health", use_container_width=True):
st.session_state.chat_history.append({
"role": "user",
"content": "Tell me about heart disease symptoms and prevention"
})
st.rerun()
with col_qa2:
if st.button("🩺 Diabetes", use_container_width=True):
st.session_state.chat_history.append({
"role": "user",
"content": "What are diabetes symptoms and management strategies?"
})
st.rerun()
with col_qa3:
if st.button("💓 Blood Pressure", use_container_width=True):
st.session_state.chat_history.append({
"role": "user",
"content": "How to control high blood pressure naturally?"
})
st.rerun()
with col_qa4:
if st.button("🍎 Nutrition", use_container_width=True):
st.session_state.chat_history.append({
"role": "user",
"content": "What is a healthy diet for heart health?"
})
st.rerun()
# Additional quick actions
col_qa5, col_qa6, col_qa7, col_qa8 = st.columns(4)
with col_qa5:
if st.button("💪 Exercise", use_container_width=True):
st.session_state.chat_history.append({
"role": "user",
"content": "Exercise recommendations for beginners"
})
st.rerun()
with col_qa6:
if st.button("🔍 Symptoms", use_container_width=True):
st.session_state.chat_history.append({
"role": "user",
"content": "When should I seek emergency medical care?"
})
st.rerun()
with col_qa7:
if st.button("💊 Medications", use_container_width=True):
st.session_state.chat_history.append({
"role": "user",
"content": "General medication safety guidelines"
})
st.rerun()
with col_qa8:
if st.button("🚨 Emergency", use_container_width=True):
st.session_state.chat_history.append({
"role": "user",
"content": "What are emergency warning signs?"
})
st.rerun()
st.markdown('
', unsafe_allow_html=True)
if language == "English":
st.markdown('
📋 Medical Reports & Analytics
', unsafe_allow_html=True)
st.write("Download comprehensive medical reports and view assessment analytics")
else:
st.markdown('📋 طبی رپورٹس اور تجزیات
', unsafe_allow_html=True)
st.write("جامع طبی رپورٹس ڈاؤن لوڈ کریں اور تشخیص کے تجزیات دیکھیں")
if st.session_state.assessment_history:
# Latest assessment
latest_assessment = st.session_state.assessment_history[-1]
# Download PDF report
if language == "English":
st.subheader("Download Patient Report")
else:
st.subheader("مریض رپورٹ ڈاؤن لوڈ کریں")
pdf_generator = PDFReportGenerator()
pdf_data = pdf_generator.generate_report(
latest_assessment['patient_data'],
latest_assessment['risk_scores'],
language
)
if language == "English":
st.markdown(create_download_link(pdf_data, "sehatai_medical_report.pdf", "📥 Download Medical Report (PDF)"), unsafe_allow_html=True)
else:
st.markdown(create_download_link(pdf_data, "sehatai_medical_report.pdf", "📥 طبی رپورٹ ڈاؤن لوڈ کریں (PDF)"), unsafe_allow_html=True)
# Analytics Section
if language == "English":
st.subheader("Assessment Analytics")
else:
st.subheader("تشخیص کے تجزیات")
col_anal1, col_anal2, col_anal3 = st.columns(3)
with col_anal1:
st.metric(
"Total Assessments" if language == "English" else "کل تشخیص",
len(st.session_state.assessment_history)
)
with col_anal2:
latest_priority = latest_assessment['risk_scores']['priority']
st.metric(
"Current Priority Score" if language == "English" else "موجودہ ترجیحی اسکور",
f"{latest_priority:.1%}"
)
with col_anal3:
high_risk_count = sum(1 for assess in st.session_state.assessment_history
if assess['risk_scores']['priority'] > 0.7)
st.metric(
"High Risk Cases" if language == "English" else "اعلی خطرہ والے معاملات",
high_risk_count
)
# Risk distribution chart
if len(st.session_state.assessment_history) > 1:
risk_data = pd.DataFrame([
{
'Heart Risk': assess['risk_scores']['heart'],
'Diabetes Risk': assess['risk_scores']['diabetes'],
'Hypertension Risk': assess['risk_scores']['hypertension'],
'Assessment': i+1
} for i, assess in enumerate(st.session_state.assessment_history[-5:])
])
fig = px.line(risk_data, x='Assessment', y=['Heart Risk', 'Diabetes Risk', 'Hypertension Risk'],
title="Risk Trend Analysis" if language == "English" else "خطرے کے رجحان کا تجزیہ",
color_discrete_map={
'Heart Risk': '#FF6B6B',
'Diabetes Risk': '#4ECDC4',
'Hypertension Risk': '#45B7D1'
})
st.plotly_chart(fig, use_container_width=True)
else:
if language == "English":
st.info("👆 Complete a patient assessment to generate reports and view analytics")
else:
st.info("👆 رپورٹس تیار کرنے اور تجزیات دیکھنے کے لیے مریض کی تشخیص مکمل کریں")
st.markdown('', unsafe_allow_html=True)
if __name__ == "__main__":
main()