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64926

Feature Engineering For Readmission Prediction Model of Real-Time Patient Streaming Data

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Last updated: 04 Jan 2025

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Abstract

Providing healthcare services without emergency waiting is the one of important challenges for healthcare organizations. The poor patient readmission management increasing the emergency waiting and maybe cause a risk on the patient life. The current prediction models working on batching processing model, and not provides real time tracking of patient status. However, the patient profile growth every second by new records or new attributes and the accuracy of analysis is insufficient when the quality of health data is incomplete, old, or not clean. Indeed, all patient data need to analyze using big data technologies in real time to extract important features from the data. So, this paper tackles most problems that hinder extracting features for readmission prediction models in real time. The new model called High-Risk Readmission Prediction model (HR2P). This model based on machine learning and big data technology to be able streaming patient data from Internet of Things (IoT) and electronic health records (EHR) storage. The new approach allows healthcare organizations to minimize waiting time for patients and emergency cases.

DOI

10.21608/mjeer.2019.64926

Keywords

Powerset, Distributed Systems, Hadoop, Spark, Big Data

Authors

First Name

Youssef

Last Name

Essa

MiddleName

M.

Affiliation

Senior BigData Engineer Idealo Berlin, Germany

Email

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City

-

Orcid

-

First Name

Ahmed

Last Name

Al-Mahalawy

MiddleName

-

Affiliation

Computer Science & Engineering Dept. Faculty of Electronic Engineering, Menoufia University Menoufia, Egypt

Email

-

City

-

Orcid

-

First Name

Gamal

Last Name

Attiya

MiddleName

-

Affiliation

Computer Science & Engineering Dept. Faculty of Electronic Engineering, Menoufia University Menoufia, Egypt

Email

gamal.attiya@yahoo.com

City

-

Orcid

0000-0002-4771-9165

First Name

Ayman

Last Name

El-Sayed

MiddleName

-

Affiliation

Computer Science & Engineering Dept. Faculty of Electronic Engineering, Menoufia University Menoufia, Egypt

Email

ayman.elsayed@el-eng.menofia.edu.eg

City

Menouf

Orcid

0000-0002-4437-259X

Volume

28

Article Issue

ICEEM2019-Special Issue

Related Issue

9704

Issue Date

2019-12-01

Receive Date

2019-12-12

Publish Date

2019-12-01

Page Start

286

Page End

291

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_64926.html

Detail API

https://mjeer.journals.ekb.eg/service?article_code=64926

Order

7

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Feature Engineering For Readmission Prediction Model of Real-Time Patient Streaming Data

Details

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Article

Created At

22 Jan 2023