hemosim 0.1.0

Reinforcement learning Gymnasium environments for hemostasis and anticoagulation management

HemoSim

Reinforcement learning Gymnasium environments for hemostasis and anticoagulation management.

Installation

pip install hemosim

Environments

Environment	Description	Observation	Action
hemosim/WarfarinDosing-v0	90-day warfarin titration	Box(8)	Box(1)
hemosim/HeparinInfusion-v0	5-day heparin infusion	Box(6)	Box(2)
hemosim/DOACManagement-v0	365-day DOAC selection	Box(8)	MultiDiscrete(3,3)
hemosim/DICManagement-v0	7-day DIC management	Box(8)	MultiDiscrete(4,4,3,3)

Quick Start

import gymnasium as gym
import hemosim

env = gym.make("hemosim/WarfarinDosing-v0")
obs, info = env.reset(seed=42)

for _ in range(90):
    action = env.action_space.sample()
    obs, reward, terminated, truncated, info = env.step(action)
    if terminated or truncated:
        break

env.close()

License

MIT License. Copyright (c) 2026 Hass Dhia, Smart Technology Investments Research Institute.