app.py

import streamlit as st
import pandas as pd
import datetime as dt
import matplotlib.pyplot as plt
import os

# Function to load data from the local CSV file
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

# Function to save data to the local CSV file
def save_data(df):
 df.to_csv('patient_data.csv', index=False)
 st.write("Data saved successfully.")

# Load data from the CSV file
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!")