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Results: 26
Big Data Applications in Vaccinology
Joseph Kasten
Jul 01, 2021
The development of vaccines has been one of the most important medical and pharmacological breakthroughs in the history of the world. Besides saving untold lives, they have enabled the human race to live and thrive in conditions...
Published by: IGI Global
Wearable Devices Data for Activity Prediction Using Machine Learning Algorithms
Wearable devices are contributing heavily towards the proliferation of data and creating a rich minefield for data analytics. Recent trends in the design of wearable devices include several embedded sensors which also provide...
Published by: IGI Global
Cardiovascular Risk Detection Through Big Data Analysis
Cardiovascular diseases are the main cause of mortality in the world. As more people suffer from diabetes and hypertension, the risk of cardiovascular disease (CVD) increases. A sedentary lifestyle, an unhealthy diet, and...
Published by: IGI Global
A Predictive Analytics Framework for Blood Donor Classification
India faces numerous challenges to the meet ever-increasing demand of human blood so as to improve the health indicators across its rural and urban population. The gap between demand and supply can be fulfilled by increasing...
Published by: IGI Global
Using Data Science Software to Address Health Disparities
The article assesses data science software to evaluate the usefulness of data science technology in addressing concerns such as health disparities. Data science software was analyzed using KDnuggets data related to analytics...
Published by: IGI Global
The Strengths, Weaknesses, Opportunities, and Threats Analysis of Big Data Analytics in Healthcare
Chaojie Wang
Jan 01, 2019
Improving the performance and reducing the cost of healthcare have been a great concern and a huge challenge for healthcare organizations and governments at every level in the US. Measures taken have included laws, regulations...
Published by: IGI Global
A Machine Learning-Based Intelligent System for Predicting Diabetes
In this era of technological growth, the diagnosis of diseases and finding cures, personal health parameter management and predicting the possibility of susceptibility to some diseases have become accessible and easy. Although...
Published by: IGI Global
Smart Healthcare Apps for Quality Cancer Patient Support
This paper analyzes the clinical and technological characteristics of cancer mobile apps that enable patients to securely record, manage, and share their information. It proposes an integrated approach towards developing quality...
Published by: IGI Global
An Article on Big Data Analytics in Healthcare Applications and Challenges
The technological advancement has also opened up various ways to collect data through automatic mechanisms. One installed mechanism collects a huge amount of data without any further maintenance or human interventions. The...
Published by: IGI Global
Artificial Intelligent Embedded Doctor (AIEDr.)
This article focuses on the development of a diagnostic model for low back pain management, a mathematical model describing the cause of the disease and an inclusive hardware implementation with artificial intelligence (AI). It...
Published by: IGI Global
Fuzzy Logic-Based Predictive Model for the Risk of Sexually Transmitted Diseases (STD) in Nigeria
Florence Oladeji, Jeremiah Balogun, Olajide Olajide, Olayinka Olusanya, Peter Idowu, Adanze Asinobi
Jul 01, 2020
This study developed a classification model for monitoring the risk of sexually transmitted diseases (STDs) among females using information about non-invasive risk factors. Structured interview with physicians was done in order...
Published by: IGI Global
A Novel Framework of Health Monitoring Systems
IoT plays an important role in the healthcare domain for improving the quality of patient care. To analyze the patients' healthcare data, a real-time health-monitoring system is required. The proposed framework in this work is...
Published by: IGI Global
Different Approaches to Reducing Bias in Classification of Medical Data by Ensemble Learning Methods
Adem Doganer
Jul 01, 2021
In this study, different models were created to reduce bias by ensemble learning methods. Reducing the bias error will improve the classification performance. In order to increase the classification performance, the most...
Published by: IGI Global
A Brief Survey on Big Data in Healthcare
This article presents a brief introduction to big data and big data analytics and also their roles in the healthcare system. A definite range of scientific researches about big data analytics in the healthcare system have been...
Published by: IGI Global
Application of Machine Learning and Artificial Intelligence Techniques for IVF Analysis and Prediction
Infertility is the combination of factors that prevent pregnancy. It involves a lot of care and expertise while selecting the best embryo to lead to a successful pregnancy. Assistive reproductive technology (ART) helps to solve...
Published by: IGI Global
Big Data Applications in Healthcare Administration
Joseph Kasten
Jul 01, 2020
The healthcare industry has a growing record of using big data-related technologies such as data analytics, internet of things, and machine learning, especially in the clinical areas. However, healthcare institutions must also...
Published by: IGI Global
An Innovative Approach to Solve Healthcare Issues Using Big Data Image Analytics
The increasing adoption of transmission of medical images through internet in healthcare has led to several security threats to patient medical information. Permitting quiet data to be in peril may prompt hopeless harm...
Published by: IGI Global
Analysis of Heart Disease Using Parallel and Sequential Ensemble Methods With Feature Selection Techniques
This paper has organized a heart disease-related dataset from UCI repository. The organized dataset describes variables correlations with class-level target variables. This experiment has analyzed the variables by different...
Published by: IGI Global
User-Independent Detection for Freezing of Gait in Parkinson's Disease Using Random Forest Classification
Freezing of gait (FOG) is a gait impairment which occurs in Parkinson's disease (PD) patients. As PD progresses, the patient is unable to perform locomotion normally. This increases the risk of falls and adversely affects the...
Published by: IGI Global
ICTs and Domestic Violence (DV)
Bolanle Olaniran
Jul 01, 2021
The use of information communication technologies (ICTs) to empower individuals through social support, help-seeking, and help-providing activities is finding its place in healthcare delivery. ICTs, in particular, offer access...
Published by: IGI Global
Improvisation of Cleaning Process on Tweets for Opinion Mining
In the current scenario, high accessibility to computational facilities encourage generation of a large volume of electronic data. Expansion of the data has persuaded researchers towards critical analyzation so as to extract the...
Published by: IGI Global
Bayesian Kernel Methods
In the healthcare industry, sources look after different customers with diverse diseases and complications. Thus, at the source, a great amount of data in all aspects like status of the patients, behaviour of the diseases, etc....
Published by: IGI Global
Proximate Breast Cancer Factors Using Data Mining Classification Techniques
Breast cancer is the most common of all cancers and is the leading cause of cancer deaths in women worldwide. The classification of breast cancer data can be useful to predict the outcome of some diseases or discover the genetic...
Published by: IGI Global
Big Data Analytics in Healthcare
The technological advancement has also opened up various ways to collect data through automatic mechanisms. One such mechanism collects a huge amount of data without any further maintenance or human interventions. The health...
Published by: IGI Global
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