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Article
Feature selection and prediction of small-for-gestational-age infants
The small-for-gestational-age (SGA) condition often causes serious problems. Therefore, identifying the risk factors for SGA is important. Traditional statistical methods such as stepwise logistic regression (...
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Article
Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators
A newborn with a birth weight above the 90th percentile of same gestational age is termed as large for gestational age. Large for gestational age suffers from serious complications during and after the antepar...
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Chapter and Conference Paper
Turner Syndrome Prognosis with Facial Features Extraction and Selection Schemes
Turner syndrome adheres serious health-related complications with a tendency to affect various organs during different stages of life which includes hypertension, infertility, and retarded growth. The proper d...
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Chapter and Conference Paper
Enhanced Intelligence Using Collective Data Augmentation for CNN Based Cataract Detection
Cataract is one of the prevailing cause of blindness in the industrial world that accounts for more than 50% of blindness. The early detection of cataract can protect serious threats of visual impairment. Most...
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Chapter and Conference Paper
Interpretable Learning: A Result-Oriented Explanation for Automatic Cataract Detection
Cataract is one of the most common eye diseases, which occupies 4.2% of the population all over the world. Automatic cataract detection not only can help people prevent visual impairment and decrease the possi...
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Article
Open AccessDevelopment of a computer-aided tool for the pattern recognition of facial features in diagnosing Turner syndrome: comparison of diagnostic accuracy with clinical workers
Technologies applied for the recognition of facial features in diagnosing certain disorders seem to be promising in reducing the medical burden and improve the efficiency. This pilot study aimed to develop a c...
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Article
Open AccessApplication of Weighted Gene Co-expression Network Analysis for Data from Paired Design
Investigating how genes jointly affect complex human diseases is important, yet challenging. The network approach (e.g., weighted gene co-expression network analysis (WGCNA)) is a powerful tool. However, genom...
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Chapter and Conference Paper
SVM Based Predictive Model for SGA Detection
The medical diagnosis process can be interpreted as a decision making process, which doctors determine whether a person is suffering from a disease based on the medical examination. This process can also be co...
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Chapter and Conference Paper
Optimal ST-Elevation Myocardial Infarction System by Regional Cooperative Emergency Care Based on the Internet of Things
Prompt reperfusion treatment significantly reduces mortality and morbidity in patients with ST-elevation myocardial infarction (STEMI). In this article, the current status and problems of STEMI patient emergen...
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Chapter and Conference Paper
Visual Analysis for Type 2 Diabetes Mellitus – Based on Electronic Medical Records
A multidimensional-scaling approach is proposed to analyze the main symptoms of T2DM. Based on 200 Type 2 diabetes patients’ electronic medical records, the terms which were used to described symptoms in the r...
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Chapter and Conference Paper
PriGen: A Generic Framework to Preserve Privacy of Healthcare Data in the Cloud
With the rise of Healthcare IT infrastructures, the need of healthcare data sharing and integration has become extremely important. Cloud computing paradigm is one of the most popular healthcare IT infrastruct...
