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31+ results
Field: Quality and Safety in Healthcare

Supervised Machine Learning-Based Cardiovascular Disease Analysis and Prediction

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M. D. Amzad Hossen, Tahia Tazin, Sumiaya Khan, Evan Alam et al.

Journal: Mathematical Problems in Engineering
Year: 2021
Citations: 29

Cardiovascular illness, often commonly known as heart disease, encompasses a variety of diseases that affect the heart and has been the leading cause of mortality globally in recent decades. It is associated with numerous risks for heart disease and a requirement of the moment to get accurate, trust...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Reformist Framework for Improving Human Security for Mobile Robots in Industry 4.0

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Anand Singh Rajawat, Pradeep Bedi, S. B. Goyal, Piyush Kumar Shukla et al.

Journal: Mobile Information SystemsYear: 2021Citations: 29

In this paper, the cooperation between human and robot companies plays a significant role in factories, contributing to greater productivity and efficiency. However, this development breaches established safety procedures when the workspaces are separated from the robot and the human being. These ch...

Physical SciencesEngineeringIndustrial and Manufacturing EngineeringOpen Access
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A Comparative Study of Machine Learning classifiers to analyze the precision of Myocardial Infarction prediction

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Razib Hayat Khan, Jonayet Miah, Shah Ashisul Abed Nipun, Majharul Islam

Year: 2023Citations: 28

In the modern world, heart disease ranks among the main causes of death. Smoking, high blood pressure, and cholesterol are the three key risk factors for getting one heart disease, and 47% of all US people have at least one of these risk factors. Prediction of myocardial illness is a significant pro...

Health SciencesHealth ProfessionsHealth Information Management
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Evaluating interaction between internal hospital supply chain performance indicators: a rough-DEMATEL-based approach

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Daniel Soto-Lopez, Maryam Garshasbi, Golam Kabir, A.B.M. Mainul Bari et al.

Journal: International Journal of Productivity and Performance ManagementYear: 2021Citations: 27

Purpose Previous studies on hospital supply chain performance have attempted to measure the performance of the hospital supply chain either by the measurement of performance indicators or the performance of specific activities. This paper attempts to measure the internal hospital supply chain's perf...

Social SciencesBusiness, Management and AccountingManagement Information Systems
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Cardiovascular Disease Forecast using Machine Learning Paradigms

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Saiful Islam, Nusrat Jahan, Mst. Eshita Khatun

Year: 2020Citations: 27

In this recent era, Cardiovascular disease (CVD) propagation rate has been intensifying the cause of death worldwide among the non-communicable disease. In particular the south asian countries have a tremendous risk of cardiovascular disease at an early age than any other ethnic group. Most often it...

Health SciencesHealth ProfessionsHealth Information Management
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Effects of Six Sigma initiatives in Malaysian private hospitals

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Selim Ahmed, Noor Hazilah Abd Manaf, Rafikul Islam

Journal: International Journal of Lean Six SigmaYear: 2018Citations: 26

Purpose This study aims to investigate applications of Six Sigma methodology in Malaysian private hospitals. It measures Six Sigma initiatives of the private hospitals based on demographics such as gender, position and working experience. Design/methodology/approach The present study measures Six Si...

Social SciencesBusiness, Management and AccountingManagement Information Systems
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An index to prioritize the preventive maintenance of medical equipment

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Laura Angelica Hernandez-Lopez, Ana B. Pimentel-Aguilar, Martha R. Ortíz-Posadas

Journal: Health and TechnologyYear: 2019Citations: 22

We propose an index to prioritize preventive maintenance for medical equipment. Our index considers seven variables: type of equipment, equipment function, maintenance requirements, calibration, equipment age, equipment location, and equipment hazards. We developed a mathematical model using these v...

Health SciencesHealth ProfessionsMedical Laboratory TechnologyOpen Access
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Assessment of total productive maintenance implementation in a semiautomated manufacturing company through downtime and mean downtime analysis

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Chowdury M. L. Rahman

Year: 2015Citations: 22

Total productive maintenance (TPM) has become one of the most popular maintenance strategies to ensure high machine reliability since it is regarded as an integral part of lean Manufacturing. One of the main objectives of TPM is to increase the overall equipment effectiveness of plant equipment with...

Social SciencesBusiness, Management and AccountingManagement Information Systems
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Risk Prediction of Ischemic Heart Disease Using Artificial Neural Network

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M. Raihan, Parichay Kumar Mandal, Muhammad Muinul Islam, Md. Tanvir Hossain et al.

Year: 2019Citations: 21

The fatty plaque deposits narrow artery walls leading to the heart Ischemic Heart Disease (IHD). For that, the flowing of blood is reduced. Hyperpiesia polygenic disorder, drug addiction, and lipidemia are the initiators of tachycardia. From the healthcare unit, 835 IHD patients data with 14 feature...

Health SciencesHealth ProfessionsHealth Information Management
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An Outcome Based Analysis on Heart Disease Prediction using Machine Learning Algorithms and Data Mining Approaches

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Aushtmi Deb, Mst. Sadia Akter Koli, Sheikh Beauty Akter, Adil Ahmed Chowdhury

Journal: 2022 IEEE World AI IoT Congress (AIIoT)Year: 2022Citations: 20

We have analyzed the World Health Organization report and found that over 17 million people have died of heart attacks in the last few decades. The diagnosis of heart-related disease and ensuring proper treatment is becoming immensely difficult due to the massive rise in population. However, recent ...

Health SciencesHealth ProfessionsHealth Information Management
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ELECTRICAL AND MECHANICAL TROUBLESHOOTING IN MEDICAL AND DIAGNOSTIC DEVICE MANUFACTURING: A SYSTEMATIC REVIEW OF INDUSTRY SAFETY AND PERFORMANCE PROTOCOLS

Verified

Post Graduate Diploma in Knit Wear Industry Management, Md Mahamudur Rahaman Shamim

Journal: American Journal of Scholarly Research and InnovationYear: 2022Citations: 17

The reliability and performance of medical and diagnostic devices are critically dependent on robust troubleshooting methodologies that address both electrical and mechanical system failures. This systematic review investigates the evolving frameworks, diagnostic technologies, and regulatory protoco...

Health SciencesHealth ProfessionsMedical Laboratory TechnologyOpen Access
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A combined variable sampling interval and double sampling control chart with auxiliary information for the process mean

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Adamu Abubakar Umar, Michael BC Khoo, Sajal Saha, Abdul Haq

Journal: Transactions of the Institute of Measurement and ControlYear: 2019Citations: 16

In recent years, the suitable use of auxiliary information technique in control charts has shown an improved run length performance compared to control charts that do not have this feature. This article proposes a combined variable sampling interval (VSI) and double sampling (DS) chart using the aux...

Social SciencesDecision SciencesStatistics, Probability and Uncertainty
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Evaluation of knowledge and practice of handling chemotherapy agents by nurses: a multi-centre studies in Bangladesh

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Md. Sohrab Hosen, Mehedi Hasan, MS Islam, M. M. Raseduzzaman et al.

Journal: International Journal of Community Medicine and Public HealthYear: 2019Citations: 16

Background: Along with several significant factors in chemotherapy treatment management’s nurses plays the pivotal role. The objective of this study was to evaluate the knowledge of nurses in relation to handling chemotherapy and the current practice of cancer centers in different hospitals in Bangl...

Health SciencesHealth ProfessionsOccupational TherapyOpen Access
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Predictive health analysis in industry 5.0: A scientometric and systematic review of Motion Capture in construction

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Md Hadisur Rahman, Md Rabiul Hasan, Nahian Ismail Chowdhury, Md Asif Bin Syed et al.

Journal: Digital engineering.Year: 2024Citations: 15

In an era of rapid technological advancement, the rise of Industry 4.0 has prompted industries to pursue innovative improvements in their processes. As we advance towards Industry 5.0, which focuses more on collaboration between humans and intelligent systems, there is a growing requirement for bett...

Health SciencesHealth ProfessionsRadiological and Ultrasound TechnologyOpen Access
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A multicriteria decision analysis (MCDA) tool to purchase implantable medical devices in Egypt

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Baher Elezbawy, Ahmad Nader Fasseeh, Bertalan Németh, Mary Gamal et al.

Journal: BMC Medical Informatics and Decision MakingYear: 2022Citations: 14

BACKGROUND: With the availability of several similar medical devices performing the same function, choosing one for reimbursement is not easy, especially if purchased for a large number of patients. The objective of this project was to create a multicriteria decision analysis (MCDA) tool, that captu...

Social SciencesEconomics, Econometrics and FinanceEconomics and EconometricsOpen Access
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