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Data Accuracy

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COVID-19 Diagnosis from CT Images with Convolutional Neural Network Optimized by Marine Predator Optimization Algorithm.

BioMed research international 34651046
In recent years, almost every country in the world has struggled against the spread of Coronavirus Disease 2019. If governments and public health systems do not take action against the spread of the disease, it will have a severe impact on human life...
Algorithms COVID-19 COVID-19 Testing Data Accuracy Databases, Factual Deep Learning Humans Image Processing, Computer-Assisted Models, Theoretical Neural Networks, Computer Reproducibility of Results Research Design SARS-CoV-2 Sensitivity and Specificity Tomography, X-Ray Computed
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Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets.

International journal of molecular sciences 34360838
Drug-induced liver toxicity is one of the significant safety challenges for the patient's health and the pharmaceutical industry. It causes termination of drug candidates in clinical trials and also the retractions of approved drugs from the market. ...
Chemical and Drug Induced Liver Injury Computer Simulation Data Accuracy Humans Liver Models, Biological Quantitative Structure-Activity Relationship Sensitivity and Specificity Support Vector Machine
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Machine learning to predict distal caries in mandibular second molars associated with impacted third molars.

Scientific reports 34326441
Impacted mandibular third molars (M3M) are associated with the occurrence of distal caries on the adjacent mandibular second molars (DCM2M). In this study, we aimed to develop and validate five machine learning (ML) models designed to predict the occ...
Adult Clinical Decision-Making Cross-Sectional Studies Data Accuracy Dental Caries Dental Caries Susceptibility Female Humans Machine Learning Male Mandible Molar, Third Retrospective Studies Risk Factors Sensitivity and Specificity Tooth Cervix Tooth, Impacted Young Adult
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Identification of Tissue of Origin and Guided Therapeutic Applications in Cancers of Unknown Primary Using Deep Learning and RNA Sequencing (TransCUPtomics).

The Journal of molecular diagnostics : JMD 34325056
Cancers of unknown primary (CUP) are metastatic cancers for which the primary tumor is not found despite thorough diagnostic investigations. Multiple molecular assays have been proposed to identify the tissue of origin (TOO) and inform clinical care;...
Adult Aged Aged, 80 and over Biomarkers, Tumor Data Accuracy Deep Learning Female Gene Fusion Humans Male Middle Aged Neoplasms, Unknown Primary Prospective Studies Retrospective Studies RNA-Seq Transcriptome
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Data Quality, Data Sharing, and Moving Artificial Intelligence Forward.

JAMA network open 34398208
Artificial Intelligence Data Accuracy Delivery of Health Care Humans Information Dissemination
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Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning.

Scientific reports 34504140
Craniofacial anomaly including deformational plagiocephaly as a result of deformities in head and facial bones evolution is a serious health problem in newbies. The impact of such condition on the affected infants is profound from both medical and so...
Cephalometry Child Child, Preschool Data Accuracy Deep Learning Head Humans Infant Mobile Applications Monitoring, Ambulatory Plagiocephaly, Nonsynostotic Severity of Illness Index Skull Smartphone
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A Smart Capacitive Sensor Skin with Embedded Data Quality Indication for Enhanced Safety in Human-Robot Interaction.

Sensors (Basel, Switzerland) 34770517
Smart sensors are an integral part of the Fourth Industrial Revolution and are widely used to add safety measures to human-robot interaction applications. With the advancement of machine learning methods in resource-constrained environments, smart se...
Algorithms Data Accuracy Electronics Humans Monitoring, Physiologic Robotics
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A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams.

Sensors (Basel, Switzerland) 34696105
The recent explosive growth in the number of smart technologies relying on data collected from sensors and processed with machine learning classifiers made the training data imbalance problem more visible than ever before. Class-imbalanced sets used ...
Data Accuracy Data Collection Machine Learning
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[Not Available].

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne 34750183
Algorithms Clinical Decision-Making Data Accuracy Decision Support Systems, Clinical Humans Implementation Science Machine Learning Outcome Assessment, Health Care Program Development Program Evaluation Quality Improvement Stakeholder Participation Workflow
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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 34725416
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...
COVID-19 Data Accuracy Forecasting Humans Models, Statistical Neural Networks, Computer Nigeria Pandemics Prevalence SARS-CoV-2 South Africa Uncertainty
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