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Mobile Health and Telemedicine
In 2016, the U.S. Government health expenditures reached $3.35 trillion and the cost per person stood at $10,345. Health is seen as impacting both one's quality of life and finances. The Affordable Care Act (ACA) (2008 - 2016)...
The Moderating Effect of Organization Culture on Competition Intensity and Hospital Quality
This study empirically tests the relationship between hospital competition intensity and its quality, and the moderating impact of hospital culture on this relationship. An emailed questionnaire collected data from 239 American...
A Block-Based Arithmetic Entropy Encoding Scheme for Medical Images
The digitization of human body, especially for treatment of diseases can generate a large volume of data. This generated medical data has a large resolution and bit depth. In the field of medical diagnosis, lossless compression...
Respiratory Inductance Plethysmography for Automated Swallowing Detection
In the context of remote medical monitoring of swallowing, the authors investigate the potential of non-invasive respiratory inductance plethysmography (RIP) technique to automatically detect swallow events in a wide context of...
Comparison of Active COVID-19 Cases per Population Using Time-Series Models
This research explored the precision of diverse time-series models for COVID-19 epidemic detection in all the thirty-six different states and the Federal Capital Territory (FCT) in Nigeria with the maximum count of daily...
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...
Security/Privacy Perceptions in Patient Use of Online Medical Records
Data breaches expose individuals to economic, mental, and social trauma. Electronic health information of individuals not only includes reports of medical diagnosis, medication histories but also comprises personally...
Haar Wavelet Pyramid-Based Melanoma Skin Cancer Identification With Ensemble of Machine Learning Algorithms
Melanoma is a mortal type of skin cancer. Early detection of melanoma significantly improves the patient’s chances of survival. Detection of melanoma at an early juncture demands expert doctors. The scarcity of such expert...
Deep Learning Approach for Voice Pathology Detection and Classification
A non-invasive cum robust voice pathology detection and classification architecture is proposed in the current manuscript. In place of the conventional feature-based machine learning techniques, a new architecture is proposed...
Classification of Parkinson Disease Based on Analysis and Synthesis of Voice Signal
The most important application of voice profiling is pathological voice detection. Parkinson's disease is a chronic neurological degenerative disease affecting the central nervous system responsible for essentially progressive...
Towards Detecting Dementia via Deep Learning
Dementia is a brain disorder that causes loss of memory leading to disruption in the normal course of life of an individual. It is emerging as a global health problem in adults with age 65 years or above. Early diagnosis of...
The Impact of Fractional-Order Control on Blood Pressure Regulation
This paper presents a fractional-order framework for control of blood pressure regulation system. A new perspective is explored to control the blood pressure in lieu of the conventional control framework. A multi-variable...
Activity Recognition From Smartphone Data Using WSVM-HMM Classification
A lot of real-life mobile sensing applications are becoming available nowadays. The traditional approach for activity recognition employs machine learning algorithms to learn from collected data from smartphpne and induce a...
ADDietCoach
The aging population worldwide is expected to increase the prevalence of Alzheimer’s disease. As there is no medical curative treatment for this disease to date, alternative treatments have been applied to improve the patient’s...
A Blockchain-Based Distributed Authentication System for Healthcare
The use of digital health records, stricter health laws and the growing need for health records exchange points towards the need for an efficient security and privacy preserving mechanism. For Health Insurance management...
Updating Training in the Medical Field
This chapter briefly reviews the literature that explores the training technique of deliberate practice and the related constructs, training outcomes of achievement goal orientation, self-efficacy, perceived instrumentality, and...
Improvement of Segmentation Efficiency in Mammogram Images Using Dual-ROI Method
Mammogram segmentation utilizing multi-region of intrigue is a standout amongst the most rising exploration territory in the medical image analysis. The steps engaged with the research are grouped into two kinds: 1) segmentation...
DEMATEL Analysis of Medication Non-Adherence Behavior of Patients
Physicians are directly responsible for the treatment of patients. They affect patient behaviour and beliefs. Their point of view with respect to medication adherence behaviour of patients is crucial for getting insights into...
The Terahertz Channel Modeling in Internet of Multimedia Design In-Body Antenna
In this paper, the authors have emphasized on the perspectives of the Terahertz channel modeling in Internet of multimedia nano things (IoMNT) networks. A modulation technique targeting body-centric network is discussed. An...
Critical Factors Influencing the Intention to Adopt m-Government Services by the Elderly
While the elderly population is growing rapidly, acceptance and use of m-government services by them are far below expectation. Previous studies on acceptance and use of m-government services have predominantly focused on...
Accident Prevention-Based Analysis Using IoT-Interfaced LabVIEW Model
In this paper, the authors used LabView to design a sensor-based module and analyse it for an accident prevention system. For the purpose of forecasting potential combinations of accident occurrence, various sensor nodes are...
Common Injuries and Healthcare in College Basketball Sports
College students often experience sports injuries on the basketball court due to their lack of understanding of their own situation and poor self-protection awareness. This article takes college students in the Chengdu Chongqing...
SLAMMP Framework for Cloud Resource Management and Its Impact on Healthcare Computational Techniques
Technology such as cloud computing(CC) is constantly evolving and being adopted by the industries to manage their data and tasks. CC provides the resources for managing the tasks of the cloud users. The acceptance of the CC in...
Predicting Estimated Blood Loss and Transfusions in Gynecologic Surgery Using Artificial Neural Networks
This chapter explores valuating the efficacy of using artificial neural networks (ANNs) for predicting the estimated blood loss (EBL) and also transfusion requirements of myomectomy patients. All 146 myomectomy surgeries...

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