Machine Learning Methods for Predictive Analytics in Health Care

作者
Appoorva Bansal,Anand Kumar Shukla,Shreya Bansal
标识
DOI:10.1109/smart52563.2021.9676233
摘要

When we are dealing with the huge amount of data we have to look forward to the techniques like machine learning, predictive analysis, pattern recognition etc. Specially in the health sector machine learning is growing too fast and also give productive challenges. For predicting future, machine learning algorithm plays an important role, through which system can learn and become productive by the passing time. Method and Techniques of Machine Learning are used in various fields. Among those Health care is of the field which takes lots of help from the techniques of predictions. Through the techniques of predictive analysis in health care, effective treatment and risk factor can be managed effectively among patients and improve the quality of health care. As per the modern scenario, there is a need of huge improvement in the healthcare in term of cost and other factors. Today healthcare sector faces problem in the electronic data management, disease prediction as per the symptoms, patient classification, computer based diagnosis, risk factor etc. These challenges can be solved with the help of the machine learning tools and techniques. In this paper the focus to study the various machine learning method for the predictive analysis. Its includes various application area of machine learning, but mainly highlighting the role of machine learning in health care sectors.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
wenyu_Tan发布了新的文献求助10
1秒前
1秒前
1秒前
1111发布了新的文献求助10
2秒前
Sky_Light发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
超级水壶发布了新的文献求助10
3秒前
瑭皓发布了新的文献求助10
3秒前
Sky36001完成签到,获得积分10
3秒前
4秒前
4秒前
4秒前
Lily0126发布了新的文献求助10
5秒前
5秒前
魔修发布了新的文献求助10
5秒前
科研大人发布了新的文献求助10
5秒前
笨笨以莲完成签到,获得积分20
6秒前
6秒前
zzer发布了新的文献求助10
6秒前
传奇3应助灯灯采纳,获得10
6秒前
科研通AI2S应助老大采纳,获得10
6秒前
Sky36001发布了新的文献求助20
6秒前
原也完成签到,获得积分10
7秒前
zzzz发布了新的文献求助10
7秒前
7秒前
7秒前
彭于晏应助BSDL采纳,获得10
7秒前
科研通AI6.2应助Peng采纳,获得10
8秒前
8秒前
爆米花应助towerman采纳,获得10
8秒前
深情安青应助莱克斯采纳,获得10
8秒前
NeoH发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
916发布了新的文献求助10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
HYDROLYSE ACIDE DE QUELQUES DIOXASPIROCYCLANES 1314
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7747188
求助须知:如何正确求助?哪些是违规求助? 9295174
关于积分的说明 20228468
捐赠科研通 7327658
什么是DOI,文献DOI怎么找? 3308301
关于科研通互助平台的介绍 2460244
邀请新用户注册赠送积分活动 2320225