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| import streamlit as st | |
| import pandas as pd | |
| import datetime as dt | |
| import matplotlib.pyplot as plt | |
| # Function to load data | |
| def load_data(file): | |
| df = pd.read_csv(file) | |
| df['Date of Birth'] = pd.to_datetime(df['Date of Birth']) | |
| df['Visit Date'] = pd.to_datetime(df['Visit Date']) | |
| df['Age'] = df['Date of Birth'].apply(lambda dob: (dt.datetime.now() - dob).days // 365) | |
| return df | |
| # Sidebar: Upload CSV file | |
| uploaded_file = st.sidebar.file_uploader("Upload Patient Data CSV", type="csv") | |
| if uploaded_file: | |
| df = load_data(uploaded_file) | |
| # 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] | |
| 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": new_visit_date, | |
| "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) | |
| df.to_csv(uploaded_file, index=False) | |
| st.success("New visit entry added successfully!") | |
| # Reload data | |
| df = load_data(uploaded_file) | |
| 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)] | |
| 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']}") | |
| 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": new_dob, | |
| "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) | |
| df.to_csv(uploaded_file, index=False) | |
| st.success("New patient account created successfully!") | |