A data enhancement approach to improve machine learning performance for predicting health status using remote healthcare data

Shaira Tabassum, Masuda Begum Sampa, Rafiqul Islam, Fumihiko Yokota, Naoki Nakashima, Ashir Ahmed

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

Machine Learning (ML) is becoming tremendously important to improve the performance of remote healthcare systems. Portable health clinic (PHC), a remote healthcare system contains a triage function that classifies the patients in two major groups - (a)healthy and (b)unhealthy. Unhealthy patients require regular health checkups. This paper aims to predict the status of the registered patients to decide the follow-up date and frequency. Health management cost can be reduced by decreasing the number of follow-up frequency. We carried out an experiment on 271 corporate members and monitored their health status in every three months and collected four phases of data. The data records contain clinical data, socio-demographical data, dietary behavior data. However, most of the machine learning algorithms can not directly work with categorical data. Several encoding techniques are available which can also enhance the prediction performance. In this paper, We applied three encoding techniques and proposed a new encoding approach to handle categorical variables. The result shows that Random Forest Classifier performs the best with 95.33% accuracy. A comparison chart displaying the performance of eight different supervised learning algorithms in terms of three existing encoding mechanisms is reported.

本文言語英語
ホスト出版物のタイトル2020 2nd International Conference on Advanced Information and Communication Technology, ICAICT 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ308-312
ページ数5
ISBN(電子版)9780738123233
DOI
出版ステータス出版済み - 11月 28 2020
イベント2nd International Conference on Advanced Information and Communication Technology, ICAICT 2020 - Dhaka, バングラデシュ
継続期間: 11月 28 202011月 29 2020

出版物シリーズ

名前2020 2nd International Conference on Advanced Information and Communication Technology, ICAICT 2020

会議

会議2nd International Conference on Advanced Information and Communication Technology, ICAICT 2020
国/地域バングラデシュ
CityDhaka
Period11/28/2011/29/20

!!!All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 情報システム
  • 情報システムおよび情報管理
  • 安全性、リスク、信頼性、品質管理

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