Sequential Decision Making Using Q Learning Algorithm for Diabetic Patients

被引：0
|
作者：
Patil, Pramod [1 ]
Kulkarni, Parag [1 ]
Shirsath, Rachana [2 ]
机构：
[1] Coll Engn Pune, Pune, Maharashtra, India
[2] Dr DY Patil Inst Engn & Technol, Pune, Maharashtra, India
来源：
ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN ENGINEERING SYSTEMS, VOL 1 | 2015年 / 324卷
关键词：
Decision making; Diabetes; Reinforcement learning; Q learning algorithms;
D O I：
10.1007/978-81-322-2126-5_35
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In sequential decision making, we program agent by reward and punishment. In this, agent learns to map situations to actions which results in maximizing rewards gained. This agent is also known as decision makers. It is difficult to take decision about giving specific kind and quantity of insulin dose to the diabetes patient in a critical system of insulin pump control. This paper implements the Q learning algorithm on diabetes data streams. This helps in classifying the data for diabetes dose and also helps in making decision about giving particular kind and quantity of insulin dose by generating various rules.
引用
收藏
页码：313 / 321
页数：9
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