A Novel Classification of Machine Learning Applications in Healthcare

被引：2

作者：

Thamara, Abeer ^{[1
]}

Elsersy, Mohamed ^{[2
]}

Sherif, Ahmed ^{[3
]}

Hassan, Hossam ^{[4
]}

Abdelsalam, Omar ^{[5
]}

Almotairi, Khaled H. ^{[6
]}

机构：

[1] Al Azhar Univ, Cairo, Egypt

[2] Higher Coll Technol, Abu Dhabi, U Arab Emirates

[3] Univ Southern Mississippi, Hattiesburg, MS 39406 USA

[4] Siliconarts Inc, GPU Grp, Seoul, South Korea

[5] Tennessee Technol Univ, Cookeville, TN USA

[6] Umm Al Qura Univ, Mecca, Saudi Arabia

来源：

2021 3RD IEEE MIDDLE EAST AND NORTH AFRICA COMMUNICATIONS CONFERENCE (MENACOMM) | 2021年

关键词：

Healthcare; Machine Learning; Deep Learning; DISEASE;

D O I：

10.1109/MENACOMM50742.2021.9678232

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, machine learning has become widely used in various applications and research. It plays a crucial role in numerous fields such as medical science and the healthcare system. In such scenarios, machine learning is used to diagnose sizeable medical data patterns or predict diseases. This paper presents a survey about different machine learning algorithms with their applications in various domains and shows the advantages of machine learning techniques that help create efficient support infrastructure for medical fields and improve healthcare services. This survey's main objective is to highlight the previous work of machine learning algorithms implemented in the healthcare system and provide all necessary information to the researchers who want to explore machine learning in the healthcare system.

引用

页码：80 / 85

页数：6

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