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Infectious-Disease Subcategories: COVID-19 Flu & URI Hepatitis HIV/AIDS Public Health STDs Swine Flu Vaccines

Showing 1723-1743 of 6,337 articles

Prognostic Value of Carbohydrate Antigen 19-9 and the Surgical Margin in Extrahepatic Cholangiocarcinoma.

AIM: The prognostic value of the perioperative carbohydrate antigen 19-9 (CA19-9) value and the prog...

Nov 2021 PMID: 35261957

[Development of severity and mortality prediction models for covid-19 patients at emergency department including the chest x-ray].

OBJECTIVES: To develop prognosis prediction models for COVID-19 patients attending an emergency depa...

Nov 2021 PMID: 35370310

Machine learning random forest for predicting oncosomatic variant NGS analysis.

Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analy...

Nov 2021 PMID: 34750410

Robust optimization of convolutional neural networks with a uniform experiment design method: a case of phonocardiogram testing in patients with heart diseases.

BACKGROUND: Heart sound measurement is crucial for analyzing and diagnosing patients with heart dise...

Nov 2021 PMID: 34749632

Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method.

BACKGROUND: To classify chest computed tomography (CT) images as positive or negative for coronaviru...

Nov 2021 PMID: 34749629

Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding.

Versatile video coding (VVC) achieves enormous improvement over the advanced high efficiency video c...

Nov 2021 PMID: 34748550

Evaluating the presence of deregulated tumoral onco-microRNAs in serum-derived exosomes of gastric cancer patients as noninvasive diagnostic biomarkers.

Exosomal microRNAs (miRNAs) are emerging diagnostic biomarkers for different types of cancers. We a...

Nov 2021 PMID: 35411299

Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation.

The coronavirus disease 2019 (COVID-19) has become a severe worldwide health emergency and is spread...

Nov 2021 PMID: 34375293

A Novel COVID-19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X-Ray Images.

COVID-19 is an infectious disease-causing flu-like respiratory problem with various symptoms such as...

Nov 2021 PMID: 34777739

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.

Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 ...

Nov 2021 PMID: 34781234

Single B cell technologies for monoclonal antibody discovery.

Monoclonal antibodies (mAbs) are often selected from antigen-specific single B cells derived from di...

Nov 2021 PMID: 34743921

Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study.

Ali-M3, an artificial intelligence program, analyzes chest computed tomography (CT) and detects the ...

Nov 2021 PMID: 34735458

EpistoNet: an ensemble of Epistocracy-optimized mixture of experts for detecting COVID-19 on chest X-ray images.

The Coronavirus has spread across the world and infected millions of people, causing devastating dam...

Nov 2021 PMID: 34732741

COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion.

In healthcare, a multitude of data is collected from medical sensors and devices, such as X-ray mach...

Nov 2021 PMID: 34770595

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19).

COVID-19 has had a detrimental impact on normal activities, public safety, and the global financial ...

Nov 2021 PMID: 34749098

Artificial Intelligence of Things (AIoT) Enabled Floor Monitoring System for Smart Home Applications.

To enable smart homes and relative applications, the floor monitoring system with embedded triboelec...

Nov 2021 PMID: 34723468

Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.

In this study, we proposed a new data-driven hybrid technique by integrating an ensemble empirical m...

Nov 2021 PMID: 34725416

Deep-Learning-Derived Evaluation Metrics Enable Effective Benchmarking of Computational Tools for Phosphopeptide Identification.

Tandem mass spectrometry (MS/MS)-based phosphoproteomics is a powerful technology for global phospho...

Nov 2021 PMID: 34737085

Infectious Disease

Browse Categories

Prognostic Value of Carbohydrate Antigen 19-9 and the Surgical Margin in Extrahepatic Cholangiocarcinoma.

[Development of severity and mortality prediction models for covid-19 patients at emergency department including the chest x-ray].

Machine learning random forest for predicting oncosomatic variant NGS analysis.

Robust optimization of convolutional neural networks with a uniform experiment design method: a case of phonocardiogram testing in patients with heart diseases.

Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method.

Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding.

Evaluating the presence of deregulated tumoral onco-microRNAs in serum-derived exosomes of gastric cancer patients as noninvasive diagnostic biomarkers.

Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation.

A Novel COVID-19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X-Ray Images.

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.

Single B cell technologies for monoclonal antibody discovery.

Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study.

EpistoNet: an ensemble of Epistocracy-optimized mixture of experts for detecting COVID-19 on chest X-ray images.

COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion.

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19).

Artificial Intelligence of Things (AIoT) Enabled Floor Monitoring System for Smart Home Applications.

Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.

Deep-Learning-Derived Evaluation Metrics Enable Effective Benchmarking of Computational Tools for Phosphopeptide Identification.

Neural Network-Oriented Big Data Model for Yoga Movement Recognition.

PSCNN: PatchShuffle Convolutional Neural Network for COVID-19 Explainable Diagnosis.

Disease variant prediction with deep generative models of evolutionary data.

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