Ekkarat Boonchieng

Ekkarat Boonchieng
Chiang Mai University | CMU · Department of Computer Science

Doctor of Philosophy (Computer Science)

About

54
Publications
22,729
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
460
Citations
Introduction
I am currently working at the Department of Computer Science, Chiang Mai University. Biomedical Engineering, Artificial Intelligence and Software Engineering are my interested topics. I am working on Data Clustering and Classification in Health Informatics.
Additional affiliations
August 1993 - present
Chiang Mai University
Position
  • Professor (Associate)
Education
January 1995 - July 2000
Illinois Institute of Technology
Field of study
  • Computer Science

Publications

Publications (54)
Article
Full-text available
Research has been limited on what factors may make customers feel uncomfortable with using electronic payment systems. The purpose of this research study was to develop a model that analyzed the dimensions of the unifiB01;ed theory of acceptance and use of technology (UTAUT) with extra structures to understand how gender can affect whether consumer...
Article
Objective Open-source software (OSS) has become an important choice for developing software applications, and its usage has exponentially increased in recent years. Although many OSS systems have shown high reliability in terms of their functionality, they often exhibit several quality issues. Since most developers focus primarily on meeting client...
Article
Full-text available
In this paper, we have proposed an automated medical system for detecting type 2 diabetes from exhaled breath. Human breath can be used as a diagnostic sample for detecting many diseases as it contains many gases that are dissolved in the blood. Breath-based analysis stands out among the different non-invasive ways of detection as it provides more...
Article
Full-text available
Symptom-based machine learning models for disease detection are a way to reduce the workload of doctors when they have too many patients. Currently, there are many research studies on machine learning or deep learning for disease detection or clinical departments classification, using text of patient’s symptoms and vital signs. In this study, we us...
Conference Paper
Full-text available
Abstract— DeFi or Decentralized Finance is a new type of financial application that does not require an intermediary. Banks or financial institutions. DeFi is built on Blockchain technology that stores DeFi transaction data or “decentralized finance” and aims to create financial services that are open to all. The DeFi platform can operate by itself...
Article
Full-text available
This review investigated research works on affective computing by using electrocardiogram (ECG) and electrodermal activity (EDA). The 27 related research papers, including 23 from IEEE Journals and 4 from other Q1 Journals in the last five years, were studied. The main goals have been to summarize common trends in this field in recent years as well...
Article
Full-text available
Pain is an inevitable part of life, no matter one’s age or gender. This study lends support for the importance of facial expression technology in assisting individuals with pain. The self-report system commonly used to detect discomfort is ineffective and cannot be used by all ages; thus, using a standardized formula for measuring pain would resolv...
Article
Full-text available
Objective: This report aims to provide practical advice about the implementation of a public health monitoring system using both geographic information system technology and mobile health, a term used for healthcare delivery via mobile devices. application amongst household residents and community stakeholders in the limited resource community. Met...
Article
Full-text available
The prototype of the low cost single private LoRa gateway and LoRa node with GPS was developed as the alternative communication channel for IOT work. The AIS NB-IOT was applied as a public communication for sending data (latitude and longitude) from the private LoRa gateway and the LoRa node with the GPS to the cloud. That data can be monitored in...
Chapter
Recent evidence has appeared that major enhancements in patient results can be increased by the periodical observing patient pain levels by medical staff in hospitals. Nevertheless, owing to the responsibility and pressure that the staffs have, this kind of observation has been complicated to withstand; thus, a system that works automatically could...
Article
Full-text available
Sexual risk behavior seems to be a sensitive issue for participants’ self-report. This community-based participatory research aimed to develop and validate the web-based sexual risk behavior prevention database for adolescents and their parents in a community in the northern Thailand. It emphasized participation of stakeholders in the community. Th...
Article
Full-text available
Background: Thoracolumbar junction pure bilateral facet joint dislocation without facet fracture is an extremely rare injury. A current review of thoracolumbar junction pure bilateral facet joint dislocation reported less than 15 cases in which the surgeon had a difficulty with the dissection of surgical planning using only 2D radiographic film an...
Preprint
BACKGROUND Use of geographic information system (GIS) for public health has been increasing in Thailand, particularly for studies of major infectious diseases. However, the lack of evaluating the health impact of GIS-embed mHealth makes it impossible to identify the benefit and cost-effectiveness in a developing country where the budget for health...
Article
Full-text available
Human face recognition is a complex task, and it is important as it can be applied to assist people worldwide, such as those in the medical field or security. For example, human faces can be used for detecting pain or emotion. Nevertheless, a drawback of deep learning methods that need a lot of data to process is key. In this study, a deep-learning...
Preprint
Full-text available
(datasets: https://github.com/IoBT-VISTEC/EEG-Emotion-Recognition) For several decades, electroencephalography (EEG) has featured as one of the most commonly used tools in emotional state recognition via monitoring of distinctive brain activities. An array of datasets have been generated with the use of diverse emotion-eliciting stimuli and the res...
Article
Full-text available
This research aims to find the best practice of prototyping a smart Lingzhi mushroom farm in Thailand. This research applied the use of NodeMCU with a humidity sensor and IOT platform to measure and monitor the humidity in the Lingzhi mushroom farm. The humidity data proceeds through NETPIE was developed and provided by NECTEC, Thailand as a free s...
Conference Paper
Early warning systems for outbreak detection is a challenge topic for researchers in the epidemiology and biomedical informatics fields. We are proposing a new method for detecting disease epidemics using a symptom-based approach. The data was collected from developed mobile applications which include users' demographic information and a list of ch...
Conference Paper
Full-text available
This research aims to find the best practice of logistic management for Electricity Generation Authority of Thailand (EGAT) Mae Mao Mining, Lampang. This research applied the use of RFID for lignite coal trucks and data from RFID proceed through a server and was stored into a private cloud computing. The equipment and tools used in research was a R...
Conference Paper
Urine is waste that must be discharged from living bodies. In the medical field, urine is very useful for analyzing and curing diseases. The kidneys extract waste from the blood. Urinalysis is used to determine and inspect urinary function and system. This research developed an analytical System for a Urine Strip Test Using Image Processing to comp...
Conference Paper
Particle pollution problem has become widely catastrophic in many countries around the world. During outdoor activity, many people have to face the effects of particle pollution in the atmosphere. This is the main cause for respiratory health defects, such as heart, vascular, stroke and lung disease. In order to protect and prevent people from the...
Article
Radiographic image quality is important in the medical field since it can increase the visibility of anatomical structures and even improve the medical diagnosis. Because the image quality depends on contrast, noise, and spatial resolution, images with low contrast, a lot of noises, or low resolution will decrease image quality, leading to an incor...
Conference Paper
This paper proposes an under-sampling method with an algorithm which guarantees the sampling quality called k-centers algorithm. Then, the efficiency of the sampling using under-sampling method with k-means algorithm is compared with the proposed method. For the comparison purpose, four datasets obtained from UCI database were selected and the RIPP...
Article
Geographical Information System (GIS) is a designated system widely used for collecting and analyzing geographical data. Since the introduction of ultra-mobile, "smart" devices, investigators, clinicians, and even the general public have had powerful new tools for collecting, uploading and accessing information in the field. Epidemiology paired wit...
Conference Paper
Open Source Private Cloud Software is widely used in many organizations. Eucalyptus is one of the popular open source private cloud software for building private and hybrid clouds. The benefits of this open source software for private clouds are highly efficient scalability, organization agility, and increased trust and control for IT. These studie...
Conference Paper
The Hospital Drug Information Center (DIC) is an essential unit in a hospital, providing critical information to support clinical services for virtually every department in the facility. Current hospital information systems (HIS) have not provided adequate functionality to support the services of the DIC, which are primarily focused on documentatio...
Conference Paper
To assess the iron overload in human tissue especially in the heart of transfusion-dependent thalassemia patients using cardiac magnetic resonance imaging (CMRI) technique has been widely used to evaluate cardiac iron deposition because of its non-invasive procedure. The iron measure from this technique is represent as T2* (T2 Star) value. Cardiac...
Conference Paper
Full-text available
The purpose of this edge detection and segmentation method for two-dimensional echocardiogram is to present the procedures to detect and segment an image from Two-dimensional echocardiogram and to generate a scanline that can be used to detect the distance between two endocardiums which is useful to analyze heart disease. This method applies image...
Conference Paper
We have developed a method for creating a 3D reconstruction of blood flow within the left ventricular (LV) chamber from a set of 2D color flow echocardiographic cine loops. The resulting reconstructions allow a physician to view bloodflow in multiple dimensions, permitting an immediate perception of the dynamic shape, size and direction of the flow...
Article
Full-text available
AnatomyLab is an e-learning computer application. It helps students to study and become familiar with human anatomy by interacting with anatomical 3-Dimensional models, which represent subsystems in the human body. A new multilingual wikipedia lookup technique displays online information related to body parts or body sections in the language of the...

Network

Cited By