NephroSim
Gymnasium environments for reinforcement learning in hemodialysis optimization.
Installation
pip install nephrosim
Quick Start
import gymnasium as gym
import nephrosim
env = gym.make("nephrosim/UreaClearing-v0")
obs, info = env.reset()
for _ in range(240):
action = env.action_space.sample()
obs, reward, terminated, truncated, info = env.step(action)
if terminated or truncated:
break
Environments
| Environment | Observation | Action | Objective |
|---|---|---|---|
UreaClearing-v0 |
7-dim | 2-dim (Qb, Qd) | Maximize Kt/V |
UltrafiltrationControl-v0 |
8-dim | 1-dim (UF rate) | Remove fluid safely |
PhosphateMgmt-v0 |
6-dim | 1-dim (binder dose) | Weekly phosphate control |
FullDialysisSession-v0 |
11-dim | 3-dim (Qb, Qd, UF) | Multi-objective |
Citation
@article{dhia2026nephrosim,
title={NephroSim: Gymnasium Environments for Reinforcement Learning in Hemodialysis Optimization},
author={Dhia, Hass},
year={2026},
institution={Smart Technology Investments Research Institute}
}
License
MIT
1 maintainer
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