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AI in Medicine: Need of Orchestration for High-Performance

Choi J

No abstract available.
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Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach

Barakat NH, Barakat SH, Ahmed N

OBJECTIVES: The aim of this study is to develop an intelligent diagnostic system utilizing machine learning for data cleansing, then build an intelligent model and obtain new cutoff values for...
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Internet of Things Applied in Healthcare Based on Open Hardware with Low-Energy Consumption

Ramirez Lopez LJ, Puerta Aponte G, Rodriguez Garcia A

OBJECTIVES: The Internet of Things (IoT) and its applications are growing simultaneously. These applications need new intelligent devices along heterogeneous networking. Which makes them costly to implement indeed. Platforms and...
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Factors Influencing eHealth Literacy of Middle School Students in Korea: A Descriptive Cross-Sectional Study

Park BK

OBJECTIVES: The aim of this study is to identify eHealth literacy level and to analyze the factors influencing eHealth literacy among middle school students in Korea. METHODS: This descriptive cross-sectional study...
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Integrated Information System for Early Detection of Maternal Risk Factors Based on Continuum of Care Approach of Mother and Toddler Cohorts

Damayanti , Setijanto , Hargono A, Wulandari , Santi MW, Tjahjono B, Ramadhani

OBJECTIVES: The aim of this study is to demonstrate how an integrated information system of mother and toddler cohorts can be developed as a basis of the continuum of care...
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Method for Automated Selection of the Trabecular Area in Digital Periapical Radiographic Images Using Morphological Operations

Sela EI, Pulungan R, Widyaningrum R, Shantiningsih RR

OBJECTIVES: The aim of this study is to propose a method that automatically select the trabecular bone area in digital periapical radiographic images using a sequence of morphological operations. METHODS: The...
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Narrative Review for Exploring Barriers to Readiness of Electronic Health Record Implementation in Primary Health Care

Afrizal SH, Hidayanto , Handayani , Budiharsana M, Eryando T

OBJECTIVES: The aim of this study is to explore the enabling factors associated with readiness in Electronic Health Record (EHR) implementation and to identify the barriers related to readiness regarding...
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Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model

Yoon D, Lim HS, Jung K, Kim TY, Lee S

OBJECTIVES: Biosignal data captured by patient monitoring systems could provide key evidence for detecting or predicting critical clinical events; however, noise in these data hinders their use. Because deep learning...
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Bayesian Approach to Predicting Acute Appendicitis Using Ultrasonographic and Clinical Variables in Children

Reddan T, Corness J, Harden F, Hu W, Mengersen

OBJECTIVES: Ultrasound has an established role in the diagnostic pathway for children with suspected appendicitis. Relevant clinical information can influence the diagnostic probability and reporting of ultrasound findings. A Bayesian...
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Nature of Complex Network of Dengue Epidemic as a Scale-Free Network

Malik HA, Abid F, Mahmood N, Wahiddin M, Malik A

OBJECTIVES: Dengue epidemic is a dynamic and complex phenomenon that has gained considerable attention due to its injurious effects. The focus of this study is to statically analyze the nature...
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Development and Pilot Testing of the Snackability Smartphone Application to Identify Healthy and Unhealthy Snacks

Prapkree L, Sadjadi M, Huffman F, Palacios C

OBJECTIVES: Snacks contribute to the diet quality in youth, which is often poor. Although the US Department of Agriculture (USDA) has guidelines for healthy snacks, this is lost in translation...
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