Project Title: Thyroid Mlflow App

Technologies: Machine Learning Technology

Domain: Healthcare

Deploy: Streamlit

Thyroid Diagnosis Challenges

Thyroid disorders affect many people worldwide, the challenge for healthcare professionals in accurately diagnosing. The Thyroid App using Streamlit, to streamline the diagnostic process and help healthcare professionals to make informed decisions.

Run Locally

Clone the project

  git clone

Go to the project directory

  cd Thyroid-Mlflow-app

Install dependencies

  pip install -r requirements.txt

On local

  python src/pipeline.py

Start the server streamlit

  streamlit run app.py

Attributes Information

• Age: Age of the patient (numeric)
• Sex: Sex of the patient (categorical: 'M' for male, 'F' for female)
• On Thyroxine: Whether the patient is on thyroxine medication (binary: 'Yes' or 'No')
• Query on Thyroxine: Whether the patient is querying about thyroxine medication (binary: 'Yes' or 'No')
• On Antithyroid Meds: Whether the patient is on antithyroid medication (binary: 'Yes' or 'No') Sick: Whether the patient is sick (binary: 'Yes' or 'No')
• Pregnant: Whether the patient is pregnant (binary: 'Yes' or 'No')
• Thyroid Surgery: Whether the patient has undergone thyroid surgery (binary: 'Yes' or 'No')
• I131 Treatment: Whether the patient is undergoing I131 treatment (binary: 'Yes' or 'No')
• Query Hypothyroid: Whether the patient believes they have hypothyroidism (binary: 'Yes' or 'No')
• Query Hyperthyroid: Whether the patient believes they have hyperthyroidism (binary: 'Yes' or 'No')
• Lithium: Whether the patient is taking lithium medication (binary: 'Yes' or 'No')
• Goitre: Whether the patient has goitre (binary: 'Yes' or 'No')
• Tumor: Whether the patient has a tumor (binary: 'Yes' or 'No')
• Hypopituitary: Whether the patient has hypopituitarism (binary: 'Yes' or 'No')
• Psych: Whether the patient has psychiatric issues (binary: 'Yes' or 'No')
• TSH: Thyroid-stimulating hormone level in blood (numeric)
• T3: Triiodothyronine level in blood (numeric)
• TT4: Total thyroxine level in blood (numeric)
• T4U: Thyroxine utilization rate in blood (numeric)
• FTI: Free thyroxine index in blood (numeric)
• Referral_Source - (str)
• classes - hyperthyroidism diagnosis (str)

Approach: The classical machine learning tasks:

• EDA,
• Data Preprocessing,
• Feature Engineering,
• Model Training and Testing.

inputs: Age, Sex, On_thyroxine, Query_on_thyroxine, On_antithyroid_medication, Sick, Pregnant, Thyroid_surgery, I131_treatment, Query_hypothyroid, Query_hyperthyroid, Lithium, Goitre, Tumor, Hypopituitary, Psych, TSH, T3, TT4, T4U, FTI, Referral_Source.

outputs: classes