app.py

import streamlit as st
import pandas as pd
import json
from datetime import datetime

# Function to load patient data from JSON
def load_data():
 with open('data.json', 'r') as f:
 return pd.DataFrame(json.load(f))

# Function to save patient data to JSON
def save_data(df):
 with open('data.json', 'w') as f:
 json.dump(df.to_dict(orient='records'), f, indent=4)

# Load the existing data
df = load_data()

# 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!")