Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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A new and efficient numerical method for the fractional modeling and optimal control of diabetes and tuberculosis co-existence.

The main objective of this research is to investigate a new fractional mathematical model involving ...

Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers.

Recent advances in artificial intelligence (AI) are providing an opportunity to enhance existing cli...

Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness.

PURPOSE: The influence of preceding load and future perceived wellness of professional soccer player...

An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

BACKGROUND: Human papillomavirus vaccination and cervical screening are lacking in most lower resour...

Maxwell®: An Unsupervised Learning Approach for 5P Medicine.

In the 5P medicine (Personalized, Preventive, Participative, Predictive and Pluri-expert), the gener...

Identifying Diabetes in Clinical Notes in Hebrew: A Novel Text Classification Approach Based on Word Embedding.

NimbleMiner is a word embedding-based, language-agnostic natural language processing system for clin...

Validation of a Semiautomated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance.

PURPOSE: Quantifying the risk of cancer associated with pathogenic mutations in germline cancer susc...

Artificial intelligence in drug combination therapy.

Currently, the development of medicines for complex diseases requires the development of combination...

FREGEX: A Feature Extraction Method for Biomedical Text Classification using Regular Expressions.

In this work, we present FREGEX a method for automatically extracting features from biomedical texts...

Wearable Sensors for Prodromal Motor Assessment of Parkinson's Disease using Supervised Learning.

Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and...

Homogeneous and heterogeneous ensemble classification methods in diabetes disease: a review.

This paper explores the use of ensemble classification methods in the context of the diabetes diseas...

Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks.

Parkinson's Disease (PD) is the second most common neurodegenerative disorder worldwide, causing bot...

Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health.

Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for he...

Design and Development of a Sitting Posture Recognition System.

Sitting posture recognition can be used to evaluate the awareness of a person carrying out a task, s...

Cuff-less and Calibration-free Blood Pressure Estimation Using Convolutional Autoencoder with Unsupervised Feature Extraction.

Monitoring blood pressure (BP) in people's daily life in an unobtrusive way is of great significance...

Visualizing Inertial Data For Wearable Sensor Based Daily Life Activity Recognition Using Convolutional Neural Network.

Nowadays human activity recognition (HAR) plays an crucial role in the healthcare and wellness domai...

An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification.

Diabetic retinopathy (DR) is one kind of eye disease that is caused by overtime diabetes. Lots of pa...

Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep Learning.

Sleep apnea is a common chronic respiratory disorder which occurs due to the repetitive complete or ...

Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning.

Glaucoma is the second leading cause of blindness worldwide. This paper proposes an automated glauco...

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