Primary Care

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

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Showing 3529-3549 of 16,314 articles
A Deep Neural Network-Based Method for Early Detection of Osteoarthritis Using Statistical Data.

A large number of people suffer from certain types of osteoarthritis, such as knee, hip, and spine o...

On building a diabetes centric knowledge base via mining the web.

BACKGROUND: Diabetes has become one of the hot topics in life science researches. To support the ana...

Using machine-learning methods to support health-care professionals in making admission decisions.

BACKGROUND: Large tertiary hospitals usually face long waiting lines; patients who want to receive h...

A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records.

BACKGROUND: Disease prediction based on Electronic Health Records (EHR) has become one hot research ...

A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans.

Gene fusions have a very important role in the study of cancer development. In this regard, predicti...

Convolutional Recurrent Neural Networks for Glucose Prediction.

Control of blood glucose is essential for diabetes management. Current digital therapeutic approache...

CytoProcessorTM: A New Cervical Cancer Screening System for Remote Diagnosis.

BACKGROUND: Current automated cervical cytology screening systems still heavily depend on manipulati...

IVS2vec: A tool of Inverse Virtual Screening based on word2vec and deep learning techniques.

Inverse Virtual Screening is a powerful technique in the early stage of drug discovery process. This...

Comparison of long-term outcomes of laparoscopic and robot-assisted laparoscopic partial nephrectomy.

In this study, we compared the long-term oncological and functional outcomes of laparoscopic partial...

Artificial intelligence in breast imaging.

This article reviews current limitations and future opportunities for the application of computer-ai...

Improved Method of Structure-Based Virtual Screening via Interaction-Energy-Based Learning.

Virtual screening is a promising method for obtaining novel hit compounds in drug discovery. It aims...

Machine Learning Enhances the Efficiency of Cognitive Screenings for Primary Care.

BACKGROUND: Incorporation of cognitive screening into the busy primary care will require the develop...

MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction.

The human microbiome plays a number of critical roles, impacting almost every aspect of human health...

NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

INTRODUCTION: Using machine learning techniques, we developed a brief questionnaire to aid neurologi...

Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.

Learning from patient safety incident reports is a vital part of improving healthcare. However, the ...

In Need of Bias Control: Evaluating Chemical Data for Machine Learning in Structure-Based Virtual Screening.

Reports of successful applications of machine learning (ML) methods in structure-based virtual scree...

Does integral affect influence intentions to use artificial intelligence for skin cancer screening? A test of the affect heuristic.

This study investigated how influences people's processing of messages about risks and benefits of...

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