Health Data Analytics

Epidemiological Modeling

SIR Model

import numpy as np
from scipy.integrate import odeint

class SIRModel:
    def __init__(self, beta, gamma, population):
        self.beta, self.gamma, self.N = beta, gamma, population

    def simulate(self, I0=1, days=160):
        S0, R0 = self.N - I0, 0
        def sir(y, t):
            S, I, R = y
            return [-self.beta*S*I/self.N, self.beta*S*I/self.N - self.gamma*I, self.gamma*I]
        return odeint(sir, [S0, I0, R0], np.linspace(0, days, days))

Health Outcome Prediction

Gradient Boosted Trees

Social Determinants of Health