Update app.py

app.py

@@ -1,154 +1,150 @@
 import streamlit as st
 import pandas as pd
-import datetime as dt
-import matplotlib.pyplot as plt
-import os
+import json
+from datetime import datetime
 
-# Function to load data from the local CSV file
+# Function to load patient data from JSON
 def load_data():
- df = pd.read_csv('patient_data.csv')
- df['Date of Birth'] = pd.to_datetime(df['Date of Birth'], format='%Y-%m-%d', errors='coerce')
- df['Visit Date'] = pd.to_datetime(df['Visit Date'], errors='coerce')
- df['Age'] = df['Date of Birth'].apply(lambda dob: (dt.datetime.now() - dob).days // 365)
- return df
+ with open('data.json', 'r') as f:
+ return pd.DataFrame(json.load(f))
 
-# Function to save data to the local CSV file
+# Function to save patient data to JSON
 def save_data(df):
- df.to_csv('patient_data.csv', index=False)
- st.write("Data saved successfully.")
+ with open('data.json', 'w') as f:
+ json.dump(df.to_dict(orient='records'), f, indent=4)
 
-# Load data from the CSV file
+# Load the existing data
 df = load_data()
 
-# Sidebar: Select or create patient
-action = st.sidebar.selectbox("Action", ["Select Patient", "Create New Patient"])
-
-if action == "Select Patient":
- patient_id = st.sidebar.selectbox("Patient ID", df['Patient ID'].unique())
-
- # Display patient data
- patient_data = df[df['Patient ID'] == patient_id]
- if not patient_data.empty:
- st.header("General Information")
- st.write(f"**Patient ID:** {patient_id}")
- st.write(f"**Name:** {patient_data.iloc[0]['Patient Name']}")
- st.write(f"**Date of Birth:** {patient_data.iloc[0]['Date of Birth'].strftime('%Y-%m-%d')}")
- st.write(f"**Age:** {patient_data.iloc[0]['Age']}")
- st.write(f"**Gender:** {patient_data.iloc[0]['Gender']}")
- st.write(f"**Medical History:** {patient_data.iloc[0]['Medical History']}")
- st.write(f"**Allergies:** {patient_data.iloc[0]['Allergies']}")
-
- # Graphs of medical data
- st.header("Medical Data Over Time")
- fig, ax = plt.subplots(2, 2, figsize=(12, 8))
- ax[0, 0].plot(patient_data['Visit Date'], patient_data['Systolic BP'])
- ax[0, 0].set_title("Systolic Blood Pressure")
- ax[0, 1].plot(patient_data['Visit Date'], patient_data['Glucose'])
- ax[0, 1].set_title("Glucose")
- ax[1, 0].plot(patient_data['Visit Date'], patient_data['Cholesterol'])
- ax[1, 0].set_title("Cholesterol")
- ax[1, 1].plot(patient_data['Visit Date'], patient_data['Hemoglobin'])
- ax[1, 1].set_title("Hemoglobin")
- st.pyplot(fig)
-
- # Current visit input
- st.header("Current Visit")
- with st.form("current_visit_form"):
- new_visit_date = st.date_input("Visit Date", dt.date.today())
- complaint = st.text_area("Complaint")
- physical_exam = st.text_area("Physical Examination")
- systolic_bp = st.number_input("Systolic Blood Pressure", min_value=0)
- diastolic_bp = st.number_input("Diastolic Blood Pressure", min_value=0)
- temperature = st.number_input("Temperature", min_value=0.0, format="%.1f")
- glucose = st.number_input("Glucose", min_value=0)
- cholesterol = st.number_input("Cholesterol", min_value=0)
- hemoglobin = st.number_input("Hemoglobin", min_value=0)
- other_notes = st.text_area("Other Notes")
- submitted = st.form_submit_button("Add Entry")
- if submitted:
- new_entry = {
- "Patient ID": patient_id,
- "Patient Name": patient_data.iloc[0]['Patient Name'],
- "Date of Birth": patient_data.iloc[0]['Date of Birth'],
- "Age": patient_data.iloc[0]['Age'],
- "Gender": patient_data.iloc[0]['Gender'],
- "Medical History": patient_data.iloc[0]['Medical History'],
- "Allergies": patient_data.iloc[0]['Allergies'],
- "Visit Date": pd.to_datetime(new_visit_date).strftime('%Y-%m-%d'),
- "Complaint": complaint,
- "Physical Examination": physical_exam,
- "Systolic BP": systolic_bp,
- "Diastolic BP": diastolic_bp,
- "Temperature": temperature,
- "Glucose": glucose,
- "Cholesterol": cholesterol,
- "Hemoglobin": hemoglobin,
- "Other Notes": other_notes,
- }
- df = pd.concat([df, pd.DataFrame([new_entry])], ignore_index=True)
- st.write("New entry added to DataFrame.")
-
- # Save the updated data to CSV
- save_data(df)
- st.success("New visit entry added successfully!")
-
- # Reload data
- df = load_data()
- patient_data = df[df['Patient ID'] == patient_id]
-
- # Dropdown menu of previous visits
- st.header("Previous Visits")
- visit_date = st.selectbox("Select Visit Date", patient_data['Visit Date'].dt.strftime('%Y-%m-%d').unique())
- visit_data = patient_data[patient_data['Visit Date'] == pd.to_datetime(visit_date)]
- if not visit_data.empty:
- st.write(f"**Complaint:** {visit_data.iloc[0]['Complaint']}")
- st.write(f"**Physical Examination:** {visit_data.iloc[0]['Physical Examination']}")
- st.write(f"**Systolic BP:** {visit_data.iloc[0]['Systolic BP']}")
- st.write(f"**Diastolic BP:** {visit_data.iloc[0]['Diastolic BP']}")
- st.write(f"**Temperature:** {visit_data.iloc[0]['Temperature']}")
- st.write(f"**Glucose:** {visit_data.iloc[0]['Glucose']}")
- st.write(f"**Cholesterol:** {visit_data.iloc[0]['Cholesterol']}")
- st.write(f"**Hemoglobin:** {visit_data.iloc[0]['Hemoglobin']}")
- st.write(f"**Other Notes:** {visit_data.iloc[0]['Other Notes']}")
- else:
- st.write("No visit data available for the selected date.")
- else:
- st.write("No patient data available.")
-
-elif action == "Create New Patient":
- st.header("Create New Patient Account")
- with st.form("new_patient_form"):
- new_patient_id = st.text_input("Patient ID")
- new_patient_name = st.text_input("Patient Name")
- new_dob = st.date_input("Date of Birth")
- new_age = (dt.datetime.now() - pd.to_datetime(new_dob)).days // 365
- new_gender = st.selectbox("Gender", ["Male", "Female", "Other"])
- new_med_history = st.text_area("Medical History")
- new_allergies = st.text_area("Allergies")
- new_submitted = st.form_submit_button("Add New Patient")
- if new_submitted:
- new_patient = {
- "Patient ID": new_patient_id,
- "Patient Name": new_patient_name,
- "Date of Birth": pd.to_datetime(new_dob).strftime('%Y-%m-%d'),
- "Age": new_age,
- "Gender": new_gender,
- "Medical History": new_med_history,
- "Allergies": new_allergies,
- "Visit Date": None,
- "Complaint": None,
- "Physical Examination": None,
- "Systolic BP": None,
- "Diastolic BP": None,
- "Temperature": None,
- "Glucose": None,
- "Cholesterol": None,
- "Hemoglobin": None,
- "Other Notes": None,
- }
- df = pd.concat([df, pd.DataFrame([new_patient])], ignore_index=True)
- st.write("New patient added to DataFrame.")
-
- # Save the updated data to CSV
- save_data(df)
- st.success("New patient account created successfully!")
+# Sidebar for navigation
+st.sidebar.title("Navigation")
+options = ["View Patient Data", "Add New Patient", "Add New Visit"]
+choice = st.sidebar.selectbox("Choose an option", options)
+
+if choice == "View Patient Data":
+ # Sidebar for Patient Selection
+ st.sidebar.header('Select Patient')
+ patient_id = st.sidebar.selectbox('Patient ID', df['patient_id'].unique())
+
+ # Filter Data for Selected Patient
+ patient_data = df[df['patient_id'] == patient_id]
+
+ # Display Patient Profile
+ st.header('Patient Profile')
+ st.write(f"Name: {patient_data['name'].values[0]}")
+ st.write(f"Age: {patient_data['age'].values[0]}")
+ st.write(f"Gender: {patient_data['gender'].values[0]}")
+ st.write(f"Medical History: {patient_data['medical_history'].values[0]}")
+
+ # Visualization of Vital Signs
+ st.header('Vital Signs Over Time')
+
+ # Line Chart for Heart Rate
+ fig = px.line(patient_data, x='date', y='heart_rate', title='Heart Rate Over Time')
+ st.plotly_chart(fig)
+
+ # Line Chart for Blood Pressure
+ fig = px.line(patient_data, x='date', y='blood_pressure', title='Blood Pressure Over Time')
+ st.plotly_chart(fig)
+
+ # Line Chart for Blood Glucose
+ fig = px.line(patient_data, x='date', y='blood_glucose', title='Blood Glucose Over Time')
+ st.plotly_chart(fig)
+
+ # Dropdown for selecting specific visit details
+ st.header('Previous Visit Details')
+ selected_date = st.selectbox('Select Visit Date', patient_data['date'].unique())
+ selected_visit = patient_data[patient_data['date'] == selected_date]
+
+ st.write(f"**Visit Date:** {selected_date}")
+ st.write(f"Heart Rate: {selected_visit['heart_rate'].values[0]}")
+ st.write(f"Blood Pressure: {selected_visit['blood_pressure'].values[0]}")
+ st.write(f"Blood Glucose: {selected_visit['blood_glucose'].values[0]}")
+
+ # Alerts and Notifications
+ st.header('Alerts')
+ if selected_visit['heart_rate'].values[0] > 100:
+ st.error('High heart rate detected!')
+ if selected_visit['blood_pressure'].values[0] > 140:
+ st.error('High blood pressure detected!')
+
+ # Download Button for Patient Data
+ st.download_button(
+ label="Download Patient Data as CSV",
+ data=patient_data.to_csv().encode('utf-8'),
+ file_name=f'patient_{patient_id}_data.csv',
+ mime='text/csv',
+ )
+
+elif choice == "Add New Patient":
+ st.header("Add New Patient")
+
+ # Input fields for new patient data
+ new_patient_id = st.number_input("Patient ID", min_value=0, step=1)
+ new_name = st.text_input("Name")
+ new_age = st.number_input("Age", min_value=0, step=1)
+ new_gender = st.selectbox("Gender", ["Male", "Female"])
+ new_medical_history = st.text_area("Medical History")
+
+ if st.button("Add Patient"):
+ new_patient_data = {
+ 'patient_id': new_patient_id,
+ 'name': new_name,
+ 'age': new_age,
+ 'gender': new_gender,
+ 'medical_history': new_medical_history,
+ 'date': None,
+ 'heart_rate': None,
+ 'blood_pressure': None,
+ 'blood_glucose': None,
+ 'temperature': None,
+ 'medical_complaints': None,
+ 'symptoms': None,
+ 'physical_examination': None,
+ 'diagnosis': None,
+ 'extra_notes': None,
+ 'treatment': None
+ }
+ df = pd.concat([df, pd.DataFrame([new_patient_data])], ignore_index=True)
+ save_data(df)
+ st.success("New patient added successfully!")
+
+elif choice == "Add New Visit":
+ st.header("Add New Visit")
+
+ # Input fields for adding a new visit
+ patient_id = st.number_input("Patient ID", min_value=0, step=1)
+ visit_date = st.date_input("Date of Visit", value=datetime.today())
+ medical_complaints = st.text_area("Medical Complaints")
+ symptoms = st.text_area("Symptoms")
+ physical_examination = st.text_area("Physical Examination")
+ diagnosis = st.text_area("Diagnosis")
+ heart_rate = st.number_input("Heart Rate", min_value=0)
+ blood_pressure = st.number_input("Blood Pressure", min_value=0)
+ temperature = st.number_input("Temperature", min_value=0)
+ glucose = st.number_input("Blood Glucose", min_value=0)
+ extra_notes = st.text_area("Extra Notes")
+ treatment = st.text_area("Treatment")
+
+ if st.button("Add Visit"):
+ new_visit_data = {
+ 'patient_id': patient_id,
+ 'name': df[df['patient_id'] == patient_id]['name'].values[0],
+ 'age': df[df['patient_id'] == patient_id]['age'].values[0],
+ 'gender': df[df['patient_id'] == patient_id]['gender'].values[0],
+ 'medical_history': df[df['patient_id'] == patient_id]['medical_history'].values[0],
+ 'date': visit_date.strftime('%Y-%m-%d'),
+ 'heart_rate': heart_rate,
+ 'blood_pressure': blood_pressure,
+ 'blood_glucose': glucose,
+ 'temperature': temperature,
+ 'medical_complaints': medical_complaints,
+ 'symptoms': symptoms,
+ 'physical_examination': physical_examination,
+ 'diagnosis': diagnosis,
+ 'extra_notes': extra_notes,
+ 'treatment': treatment
+ }
+ df = pd.concat([df, pd.DataFrame([new_visit_data])], ignore_index=True)
+ save_data(df)
+ st.success("New visit added successfully!")