Stroke Prediction Random Forest Model

Features

• Predicts the likelihood of a stroke based on various health parameters.
• Fast and efficient model, hosted on Hugging Face.

Input Features

• age: Patient's age (numeric)
• age_group: Patients age group child(Less than 18 ),Young Adult (18-34 ), Adult (35-59 ), Senior (60 and over )
• hypertension: 1 if the patient has hypertension, else 0
• heart_disease: 1 if the patient has heart disease, else 0
• avg_glucose_level: Average glucose level in the blood
• bmi: Body Mass Index
• gender: Male/Female/Other
• ever_married: Yes/No
• work_type: Type of work (e.g., Private, Self-employed, never_worked)
• Residence_type: Urban/Rural
• smoking_status: Smoking habits (e.g., never smoked, formerly smoked)

Model Deployment