Infectious Disease

Improving the performance of hearing aids in noisy environments based on deep learning technology.

The performance of a deep-learning-based speech enhancement (SE) technology for hearing aid users, called a deep denoising autoencoder (DDAE), was investigated. The hearing-aid speech perception index (HASPI) and the hearing- aid sound quality index (HASQI), which are two well-known evaluation metrics for speech intelligibility and quality, were used to evaluate the performance of the DDAE SE appr...

Automated Classification Using End-to-End Deep Learning.

According to a study [1] by the Ministry of Health in Singapore, since 2009, cancer, ischaemic heart disease and pneumonia together accounted for approximately 60% of the total causes of death. It has been 9 years, and Pneumonia and other Acute Upper Respiratory Infections still is one of the top 10 conditions of hospitalization. In cases of respiratory diseases such as Chronic Obstructive Pulmona...

Towards Robot-Based Cognitive and Motor Assessment Across the HIV-Stroke Spectrum.

There is an increasing population of people living with both HIV and stroke around the world with no effective neurorehabilitation strategies to deal ...

Early Prediction of Sepsis in EMR Records Using Traditional ML Techniques and Deep Learning LSTM Networks.

Sepsis is a life-threatening condition caused by infection and subsequent overreaction by the immune system. Physicians effectively treat sepsis with ...

Immunogenicity, Safety, and Tolerability of Live Attenuated VaricellaZoster Virus Vaccine (ZOSTAVAX™) in Healthy Adults in India.

BACKGROUND: Herpes zoster (HZ) is caused by varicella-zoster virus ( VZV ) reactivation. In the United States, Zoster vaccine (ZOSTAVAX) is indicated ...

False-positive Troponin I Assay elevation due to occult Mixed Cryoglobulinemic Vasculitis.

A 53-year-old man with active hepatitis C and cirrhosis presented with a vasculitic rash, myalgias, and fatigue, and was found to have an elevated car...

[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learn...

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.

MOTIVATION: Correct and rapid determination of Mycobacterium tuberculosis (MTB) resistance against available tuberculosis (TB) drugs is essential for ...

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiot...

Research progress in machine learning methods for gene-gene interaction detection.

Complex diseases are results of gene-gene and gene-environment interactions. However, the detection of high-dimensional gene-gene interactions is comp...

Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study.

OBJECTIVE: To evaluate the feasibility of Deep Learning-based detection and classification of pathological patterns in a set of digital photographs of...

A postprocessing method in the HMC framework for predicting gene function based on biological instrumental data.

Predicting gene function based on biological instrumental data is a complicated and challenging hierarchical multi-label classification (HMC) problem....

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.

The implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. Here, we establ...

Complex Network Study of the Immune Epitope Database for Parasitic Organisms.

BACKGROUND: Complex network approach allows the representation and analysis of complex systems of interacting agents in an ordered and effective manne...

Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.

OBJECTIVE: Universal HIV screening programs are costly, labor intensive, and often fail to identify high-risk individuals. Automated risk assessment m...

ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization.

Real-time quantitative PCR (RT-qPCR) has become a widely used method for accurate expression profiling of targeted mRNA and ncRNA. Selection of approp...

AI Tackles Hospital Infections: Machine Learning Is Helping Clinicians.

For Ashley Zappia (Figure 1), getting her hands dirty was part of her job. Even though she always tried to remain as clean as possible, her work as a ...

XplOit: An Ontology-Based Data Integration Platform Supporting the Development of Predictive Models for Personalized Medicine.

Predictive models can support physicians to tailor interventions and treatments to their individual patients based on their predicted response and ris...

A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

We present a knowledge-base to represent collated infectious disease risk (IDR) knowledge. The knowledge is about personal and contextual risk of cont...

Use of a Deep Recurrent Neural Network to Reduce Wind Noise: Effects on Judged Speech Intelligibility and Sound Quality.

Despite great advances in hearing-aid technology, users still experience problems with noise in windy environments. The potential benefits of using a ...