machine learning

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): 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): 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): 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): 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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Automated Detection of Symptomatic Autonomic Dysreflexia through Multimodal Sensing

Author(s): Bradley S. Duerstock, Shruthi Suresh
Automated Detection of Symptomatic Autonomic Dysreflexia through Multimodal Sensing 942 674 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Autonomic Dysreflexia (AD) is a potentially life-threatening syndrome which occurs in individuals with higher level spinal cord injuries (SCI). AD is caused by triggers which can lead to rapid…

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Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients

Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients

Author(s): Cristoforo Decaro, Giovanni Battista Montanari, Riccardo Molinariz, Alessio Gilberti, Davide Bagnoli, Marco Bianconix, Gaetano Bellanca
Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients 780 523 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

       Early Access Note: Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes.…

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Locally Linear Embedding and fMRI feature selection in psychiatric classification

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Author(s): Gagan Sidhu
Locally Linear Embedding and fMRI feature selection in psychiatric classification 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Functional magnetic resonance imaging (fMRI) provides non-invasive measures of neuronal activity using an endogenous Blood Oxygenation-Level Dependent (BOLD) contrast. This article introduces a nonlinear dimensionality reduction (Locally Linear Embedding)…

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