💥Build Your Medical Diagnosis Assistant Now! 🩺💻

 Craft a DIY Med-Assistant: PySimpleGUI Magic! 🩺✨

In this post, we're going to build a simple yet powerful expert system that functions as a Medical Diagnosis Assistant.

This app will ask users a series of questions about their symptoms and then provide possible diagnoses or advice on seeking medical help.

Don’t worry if you’re a beginner—this tutorial will guide you through each step, making the learning experience fun, friendly, and rewarding!

Step 1: Setting Up the Environment

Before we dive into the code, make sure you have Python installed on your computer.

You'll also need the PySimpleGUI library, which we’ll use to create the graphical user interface (GUI).

If you haven't installed it yet, you can do so by running:

pip install PySimpleGUI

Step 2: Planning the Diagnosis Flow

The core of our Medical Diagnosis Assistant will involve asking users about their symptoms and processing their responses to offer a possible diagnosis.

Here's how we'll break it down:

1. Symptom Input: Users will input their symptoms using checkboxes or dropdowns.

2. Evaluation: The app will analyze the symptoms using a basic rule-based expert system.

3. Diagnosis: The app will provide a possible diagnosis or suggest consulting a medical professional.

Step 3: Building the User Interface

Let’s start by creating the user interface (UI).

We’ll create a window where users can select their symptoms.

Here's the basic code to set up the UI:

import PySimpleGUI as sg

# Define the list of common symptoms

symptoms = ['Fever', 'Cough', 'Fatigue', 'Headache', 'Sore Throat', 'Shortness of Breath']

# Layout for the GUI

layout = [

    [sg.Text('Select your symptoms:')],

    [sg.Checkbox(symptom, key=symptom) for symptom in symptoms],

    [sg.Button('Diagnose'), sg.Button('Exit')]

]

# Create the Window

window = sg.Window('Medical Diagnosis Assistant', layout)

# Event loop to process "events"

while True:

    event, values = window.read()

    if event sg.WIN_CLOSED or event 'Exit':

        break

    if event == 'Diagnose':

        selected_symptoms = [key for key, value in values.items() if value]

        sg.popup(f'Selected Symptoms: {selected_symptoms}')

window.close()

Step 4: Adding the Expert System Logic

Now that we have our basic UI, it’s time to add some logic to process the symptoms and provide a diagnosis.

We’ll use a simple rule-based system:

def diagnose(symptoms):

    if 'Fever' in symptoms and 'Cough' in symptoms:

        return 'You might have the flu. Consider seeing a doctor.'

    elif 'Fatigue' in symptoms and 'Headache' in symptoms:

        return 'You might be experiencing stress. Try to relax and rest.'

    else:

        return 'Symptoms are unclear. Please consult a medical professional.'

# Update the "Diagnose" button event

if event == 'Diagnose':

    selected_symptoms = [key for key, value in values.items() if value]

    diagnosis = diagnose(selected_symptoms)

    sg.popup('Diagnosis', diagnosis)

Step 5: Testing and Refining

Run the program and test it by selecting various symptoms.

The app will now give you a simple diagnosis based on the symptoms you choose.

You can refine the rule-based system to include more symptoms and more detailed diagnoses as you learn.

Step 6: Expanding the System (Optional)

Once you're comfortable with the basics, consider expanding the system with more complex rules, additional symptoms, or even integrating AI models for more accurate diagnoses.

You could also add features like saving the diagnosis to a file or sending it via email.

Wrapping Up!

By the end of this tutorial, you’ve learned how to create a simple Medical Diagnosis Assistant using PySimpleGUI.

You now have a basic understanding of how expert systems work and how to implement them in a user-friendly GUI.

This is just the beginning—keep experimenting and building on what you've learned!

Coding with a Smile 🤣 😂

The Off-by-One Error:

Realizing you’ve made an off-by-one error is like stepping on the last stair when there is none.

It’s a jarring reminder to always double-check your boundaries.

Recommended Resources 📚

Master ChatGPT.

Unlock ChatGPT for Business.

Let’s Inspire Future AI Coders Together! ☕

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What’s Next? 📅

Recipe Recommendation Engine:

We will build an AI-based app that suggests recipes based on ingredients the user has available.

The expert system can evaluate combinations and dietary preferences to suggest the best recipes.

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