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Showing 2983-3003 of 12,976 articles

The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review.

Diabetic retinopathy (DR) is a chronic eye condition that is rapidly growing due to the prevalence o...

Jan 2022 35083634

Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography.

Peripheral arterial disease (PAD) is caused by atherosclerosis and is a common disease of the elderl...

Jan 2022 35082343

An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus.

Gestational Diabetes Mellitus (GDM), a common pregnancy complication associated with many maternal a...

Jan 2022 35064173

Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction.

This study looked at novel data sources for cardiovascular risk prediction including detailed lifest...

Jan 2022 35058500

A full pipeline of diagnosis and prognosis the risk of chronic diseases using deep learning and Shapley values: The Ravansar county anthropometric cohort study.

Anthropometry is a Greek word that consists of the two words "Anthropo" meaning human species and "m...

Jan 2022 35051240

The Anti-Adiposity Mechanisms of Ampelopsin and Vine Tea Extract in High Fat Diet and Alcohol-Induced Fatty Liver Mouse Models.

(AG) is an ancient medicinal plant that is mainly distributed and used in southwest China. It exert...

Jan 2022 35163881

Multimodal deep learning applied to classify healthy and disease states of human microbiome.

Metagenomic sequencing methods provide considerable genomic information regarding human microbiomes,...

Jan 2022 35039534

Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture.

Diabetes intensive care unit (ICU) patients are at increased risk of complications leading to in-hos...

Jan 2022 34181560

Detection of metallic objects on digital radiographs with convolutional neural networks: A MRI screening tool.

INTRODUCTION: Screening for metallic implants and foreign bodies before magnetic resonance imaging (...

Jan 2022 35042664

Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol.

BACKGROUND: Systematic review is an indispensable tool for optimal evidence collection and evaluatio...

Jan 2022 35031074

Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

The key factors playing a role in the pathogenesis of metabolic alterations observed in many patient...

Jan 2022 35057554

A deep learning model for screening type 2 diabetes from retinal photographs.

BACKGROUND AND AIMS: We aimed to develop and evaluate a non-invasive deep learning algorithm for scr...

Jan 2022 35197214

Ligand Based Virtual Screening Using Self-organizing Maps.

Conventional drug discovery methods rely primarily on in-vitro experiments with a target molecule an...

Jan 2022 35022993

Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment.

The environmental microclimatic characteristics are often subject to fluctuations of considerable im...

Jan 2022 35062573

Optimizing risk-based breast cancer screening policies with reinforcement learning.

Screening programs must balance the benefit of early detection with the cost of overscreening. Here,...

Jan 2022 35027757

Machine learning algorithms as new screening approach for patients with endometriosis.

Endometriosis-a systemic and chronic condition occurring in women of childbearing age-is a highly en...

Jan 2022 35022502

Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients.

The study proposes a novel machine learning (ML) paradigm for cardiovascular disease (CVD) detection...

Jan 2022 35013839

Browse Categories

The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review.

Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography.

An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus.

Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction.

A full pipeline of diagnosis and prognosis the risk of chronic diseases using deep learning and Shapley values: The Ravansar county anthropometric cohort study.

The Anti-Adiposity Mechanisms of Ampelopsin and Vine Tea Extract in High Fat Diet and Alcohol-Induced Fatty Liver Mouse Models.

Multimodal deep learning applied to classify healthy and disease states of human microbiome.

Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture.

Detection of metallic objects on digital radiographs with convolutional neural networks: A MRI screening tool.

Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol.

Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

A deep learning model for screening type 2 diabetes from retinal photographs.

Ligand Based Virtual Screening Using Self-organizing Maps.

Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment.

Optimizing risk-based breast cancer screening policies with reinforcement learning.

Machine learning algorithms as new screening approach for patients with endometriosis.

Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients.

A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques.

Machine learning for emerging infectious disease field responses.

Smart Heart Disease Prediction System with IoT and Fog Computing Sectors Enabled by Cascaded Deep Learning Model.

Artificial intelligence approaches to the determinants of women's vaginal dryness using general hospital data.

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