AIMC Topic: Data Accuracy

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A Model for Analyzing Teaching Quality Data of Sports Faculties Based on Particle Swarm Optimization Neural Network.

Computational intelligence and neuroscience Jun 17, 2022
In this paper, we use a particle swarm optimization neural network algorithm to analyze the teaching data of physical education faculties and evaluate the quality of teaching in physical education faculties. By studying and analyzing the optimization...
Humans Neural Networks, Computer Algorithms Computer Simulation Learning Data Accuracy
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Research on the Multimodal Digital Teaching Quality Data Evaluation Model Based on Fuzzy BP Neural Network.

Computational intelligence and neuroscience Jun 11, 2022
We propose in this paper a fuzzy BP neural network model and DDAE-SVR deep neural network model to analyze multimodal digital teaching, establish a multimodal digital teaching quality data evaluation model based on a fuzzy BP neural network, and opti...
Algorithms Neural Networks, Computer Data Accuracy
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Clinical Text Data Categorization and Feature Extraction Using Medical-Fissure Algorithm and Neg-Seq Algorithm.

Computational intelligence and neuroscience Mar 7, 2022
A large amount of patient information has been gathered in Electronic Health Records (EHRs) concerning their conditions. An EHR, as an unstructured text document, serves to maintain health by identifying, treating, and curing illnesses. In this resea...
Machine Learning Algorithms Humans Electronic Health Records Natural Language Processing Data Accuracy
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Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.

Critical care medicine Mar 2, 2022
OBJECTIVE: As data science and artificial intelligence continue to rapidly gain traction, the publication of freely available ICU datasets has become invaluable to propel data-driven clinical research. In this guide for clinicians and researchers, we...
Humans Artificial Intelligence Databases, Factual Critical Care Data Accuracy Datasets as Topic Intensive Care Units Adult Systematic Reviews as Topic
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Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN.

Scientific reports Feb 14, 2022
Effective and timely antibiotic treatment depends on accurate and rapid in silico antimicrobial-resistant (AMR) predictions. Existing statistical rule-based Mycobacterium tuberculosis (MTB) drug resistance prediction methods using bacterial genomic s...
Mycobacterium tuberculosis Data Accuracy Genome, Bacterial Drug Resistance, Multiple, Bacterial Cohort Studies Mutation Antitubercular Agents Tuberculosis, Multidrug-Resistant Whole Genome Sequencing Phylogeny Phenotype Deep Learning Microbial Sensitivity Tests Prognosis Humans
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Artificial intelligence in positioning between mandibular third molar and inferior alveolar nerve on panoramic radiography.

Scientific reports Feb 14, 2022
Determining the exact positional relationship between mandibular third molar (M3) and inferior alveolar nerve (IAN) is important for surgical extractions. Panoramic radiography is the most common dental imaging test. The purposes of this study were t...
Humans Clinical Decision-Making Female Male Middle Aged Deep Learning Aged Young Adult Adult Tooth Extraction Data Accuracy Mandibular Nerve Injuries Mandible Molar, Third Radiography, Panoramic Cone-Beam Computed Tomography Mandibular Nerve
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An efficient magnetic resonance image data quality screening dashboard.

Journal of applied clinical medical physics Feb 11, 2022
PURPOSE: Complex data processing and curation for artificial intelligence applications rely on high-quality data sets for training and analysis. Manually reviewing images and their associated annotations is a very laborious task and existing quality ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Data Accuracy Humans Artificial Intelligence Brain Neoplasms
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Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Dec 16, 2021
OBJECTIVES: This study aimed to systematically review recent health economic evaluations (HEEs) of artificial intelligence (AI) applications in healthcare. The aim was to discuss pertinent methods, reporting quality and challenges for future implemen...
Models, Economic Data Accuracy Economics, Medical Technology Assessment, Biomedical Research Design Humans Outcome Assessment, Health Care Artificial Intelligence Cost-Benefit Analysis
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Evaluation of an Artificial Intelligence-Augmented Digital System for Histologic Classification of Colorectal Polyps.

JAMA network open Nov 1, 2021
IMPORTANCE: Colorectal polyps are common, and their histopathologic classification is used in the planning of follow-up surveillance. Substantial variation has been observed in pathologists' classification of colorectal polyps, and improved assessmen...
Colonic Polyps Diagnostic Tests, Routine Image Interpretation, Computer-Assisted Colorectal Neoplasms Humans New Hampshire Microscopy Artificial Intelligence Data Accuracy
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Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.

Scientific reports Nov 1, 2021
In this study, we proposed a new data-driven hybrid technique by integrating an ensemble empirical mode decomposition (EEMD), an autoregressive integrated moving average (ARIMA), with a nonlinear autoregressive artificial neural network (NARANN), cal...
Data Accuracy Uncertainty Nigeria Models, Statistical South Africa Pandemics SARS-CoV-2 COVID-19 Prevalence Forecasting Humans Neural Networks, Computer
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