Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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A simple method for unsupervised anomaly detection: An application to Web time series data.

We propose a simple anomaly detection method that is applicable to unlabeled time series data and is...

Machine learning for emerging infectious disease field responses.

Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised...

Predicting liver cancers using skewed epidemiological data.

Liver Cancer is a threat to human health and life over the world. The key to reduce liver cancer inc...

Oocyte Cryopreservation - Current Scenario and Future Perspectives: A Narrative Review.

Oocyte cryopreservation is a boon for women undergoing assisted reproductive technology. With the ev...

Online public opinion evaluation through the functional resonance analysis method and deep analysis.

A conventional model of public opinion analysis is no longer suitable when the internet is the prima...

BEMD-3DCNN-based method for COVID-19 detection.

The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Th...

Acute Kidney Injury in a Tertiary Care Center of South India.

BACKGROUND AND OBJECTIVE: Data regarding the epidemiology and outcomes of acute kidney injury (AKI) ...

Implementation of Machine Learning Models for the Prevention of Kidney Diseases (CKD) or Their Derivatives.

Chronic kidney disease (CKD) is a global health issue with a high rate of morbidity and mortality an...

Robust Real-Time Traffic Surveillance with Deep Learning.

Real-time vehicle monitoring in highways, roads, and streets may provide useful data both for infras...

Measuring Patient Similarity on Multiple Diseases by Joint Learning via a Convolutional Neural Network.

Patient similarity research is one of the most fundamental tasks in healthcare, helping to make deci...

LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection.

The continuous development of intelligent video surveillance systems has increased the demand for en...

Traceable impedance-based single-cell pipetting, from a research set-up to a robust and fast automated robot: DispenCell-S1.

Single-cell isolation is a truly transformative tool for the understanding of biological systems. It...

Crop loss identification at field parcel scale using satellite remote sensing and machine learning.

Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss ...

D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.

Since the outbreak of Coronavirus disease 2019 (COVID-19), it has been spreading rapidly worldwide a...

The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions.

Since December 2019, the COVID-19 outbreak has resulted in countless deaths and has harmed all facet...

Lung detection and severity prediction of pneumonia patients based on COVID-19 DET-PRE network.

BACKGROUND: The sudden outbreak of COVID-19 pneumonia has brought a heavy disaster to individuals gl...

Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey.

BACKGROUND: Certain types of artificial intelligence (AI), that is, deep learning models, can outper...

Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network.

UNLABELLED: Background and motivation: Every year, millions of Muslims worldwide come to Mecca to pe...

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