heart-attack-prediction v1.2.4

Heart Attack Prediction

The heart-attack-prediction npm package provides an API to predict the likelihood of a heart attack based on several health-related factors. The package uses machine learning algorithms to make predictions and can be easily integrated into Node.js applications.

Features

• Predicts the likelihood of a heart attack based on health data.
• Simple and easy-to-use API.
• Uses Logistic Regression and Random Forest algorithms for prediction.

• Supports async/await for efficient performance.

Installation

You can install the package using npm:

  npm install heart-attack-prediction
 

Sample Input

 
const InputData = {
    BMI: 31,
    Smoking: 1,
    AlcoholDrinking: 1,
    Stroke: 0,
    PhysicalHealth: 6,
    MentalHealth: 0,
    DiffWalking: 0,
    Sex: 2,
    AgeCategory: 8,
    Race: 4,
    Diabetic: 1,
    PhysicalActivity: 0,
    GenHealth: 2,
    SleepTime: 7,
    Asthma: 0,
    KidneyDisease: 0,
    SkinCancer: 0,
};


## Api Method
getHeartAttackPrediction(inputData)
 
 
 
## Api Input Parameters
 
 
| Parameter             | type    | Description                             |
|:----------------------|:--------|:----------------------------------------|
| BMI                   | Decimal | Body Mass Index (BMI) value.            |
| Smoking               | Boolean | Whether the person is a smoker (1: Yes, 0: No).            |
| AlcoholDrinking       | Boolean | Whether the person consumes alcohol (1: Yes, 0: No).            |
| Stroke                | Boolean | History of stroke (1: Yes, 0: No).            |
| PhysicalHealth        | Number  | Number of days of poor physical health in the past 30 days.            |
| MentalHealth          | Number  | Number of days of poor mental health in the past 30 days.            |
| DiffWalking           | Number  | Difficulty walking (1: Yes, 0: No).            |
| Sex                   | String  | Gender ("Male" or "Female").            |
| AgeCategory           | Number  | Age category ranging from 0 (18-24 years) to 12 (80 or older).            |
| Race                  | String  | Racial group (e.g., "White", "Black", "Asian", etc.).            |
| Diabetic              | Boolean | Whether the person is diabetic (1: Yes, 0: No).            |
| PhysicalActivity      | Boolean | Whether the person engages in physical activity (1: Yes, 0: No).            |
| GenHealth             | String  | Self-reported general health status ("Excellent", "Very good", "Good", "Fair", "Poor").            |
| SleepTime             | Number  | Average hours of sleep per day.            |
| Asthma                | Boolean | Whether the person has asthma (1: Yes, 0: No).            |
| KidneyDisease         | Boolean | Whether the person has kidney disease (1: Yes, 0: No).            |
| SkinCancer            | Boolean | Whether the person has skin cancer (1: Yes, 0: No).            |
 
 
 
## Sample Output
 
{
  "random_forest": {
    "prediction": 1,
    "probability": 0.85
  }
}