machine learning

Acoustic and Text Features Analysis for Adult ADHD Screening: A Data-Driven Approach Utilizing DIVA Interview
Acoustic and Text Features Analysis for Adult ADHD Screening: A Data-Driven Approach Utilizing DIVA Interview 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder commonly seen in childhood that leads to behavioural changes in social development and communication patterns, often continues into undiagnosed adulthood due… read more

Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning
Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning 1884 2560 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Early revascularization of the occluded coronary artery in patients with ST elevation myocardial infarction (STEMI) has been demonstrated to decrease mortality and morbidity. Currently, physicians rely on features of… read more

Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations
Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Wearable sensor-based devices are increasingly applied in free-living and clinical settings to collect fine-grained, objective data about activity and sleep behavior. The manufacturers of these devices provide proprietary software that…

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A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection
A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Continuous temperature monitoring in high-risk patients can enable healthcare providers to remotely track patients’ temperatures, promptly detect fevers and timely intervene to improve clinical outcomes. We evaluated if a novel…

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A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection
A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Continuous temperature monitoring in high-risk patients can enable healthcare providers to remotely track patients’ temperatures, promptly detect fevers and timely intervene to improve clinical outcomes. We evaluated if a novel…

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Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure
Author(s)3: Sujit Dey, Melissa Wong, Po-Han Chiang
Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Blood pressure (BP) is an essential indicator for human health and is known to be greatly influenced by lifestyle factors, like activity and sleep factors. However, the degree of…

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Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients using Primary Care Electronic Health Records
Author(s)3: Gavin Tsang, Shang-Ming Zhou, Xianghua Xie
Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients using Primary Care Electronic Health Records 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

A growing elderly population suffering from incurable, chronic conditions such as dementia present a continual strain on medical services due to mental impairment paired with high comorbidity resulting in increased…

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Early detection of Acute Chest Syndrome through electronic recording and analysis of auscultatory percussion
Author(s)3: Bekah Allen, Robert Molokie, Thomas J. Royston
Early detection of Acute Chest Syndrome through electronic recording and analysis of auscultatory percussion 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Acute chest syndrome (ACS) is the leading cause of death among people with sickle cell disease. ACS is clinically defined and diagnosed by the presence of a new pulmonary infiltrate…

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An Electrocardiographic System with Anthropometrics via Machine Learning to Screen Left Ventricular Hypertrophy among Young Adults
Author(s)3: Gen-Min Lin, Kiang Liu
An Electrocardiographic System with Anthropometrics via Machine Learning to Screen Left Ventricular Hypertrophy among Young Adults 908 575 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

The prevalence of physiological and pathological left ventricular hypertrophy (LVH) among young adults is about 5%. A use of electrocardiographic (ECG) voltage criteria and machine learning for the ECG parameters…

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