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A new approach to medical diagnostic decision support.

Journal of biomedical informatics Mar 9, 2021
Data mining is a powerful tool to reduce costs and mitigate errors in the diagnostic analysis and repair of complex engineered system, but it has yet to be applied systematically to the most complex and socially expensive system - the human body. The...
Humans Artificial Intelligence Bayes Theorem Knowledge Bases Software Electronic Health Records
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PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.

Computational and mathematical methods in medicine Mar 8, 2021
AIM: COVID-19 has caused large death tolls all over the world. Accurate diagnosis is of significant importance for early treatment.
Tuberculosis, Pulmonary Medical Informatics Radiography, Thoracic Databases, Factual Software Imaging, Three-Dimensional Retrospective Studies Stochastic Processes COVID-19 Humans Pneumonia Community-Acquired Infections Algorithms Neural Networks, Computer Tomography, X-Ray Computed Reproducibility of Results Diagnosis, Computer-Assisted
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A Knowledge-Based Algorithm for Automatic Monitoring of Orthodontic Treatment: The Dental Monitoring System. Two Cases.

Sensors (Basel, Switzerland) Mar 7, 2021
BACKGROUND: In the dental field, digital technology has created new opportunities for orthodontists to integrate their clinical practice, and for patients to collect information about orthodontics and their treatment, which is called "teledentistry."...
Telemedicine France Orthodontic Appliance Design Communicable Disease Control COVID-19 Humans Adult Artificial Intelligence Software Tooth Movement Techniques Pandemics
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To buy or not to buy-evaluating commercial AI solutions in radiology (the ECLAIR guidelines).

European radiology Mar 5, 2021
Artificial intelligence (AI) has made impressive progress over the past few years, including many applications in medical imaging. Numerous commercial solutions based on AI techniques are now available for sale, forcing radiology practices to learn h...
Humans Artificial Intelligence Radiology Software Radiography Diagnostic Imaging
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Deep learning approaches for automated classification and segmentation of head and neck cancers and brain tumors in magnetic resonance images: a meta-analysis study.

International journal of computer assisted radiology and surgery Mar 5, 2021
PURPOSE: Deep learning (DL) has led to widespread changes in automated segmentation and classification for medical purposes. This study is an attempt to use statistical methods to analyze studies related to segmentation and classification of head and...
False Positive Reactions Magnetic Resonance Imaging Pattern Recognition, Automated Software Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Head and Neck Neoplasms Glioma
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seqQscorer: automated quality control of next-generation sequencing data using machine learning.

Genome biology Mar 5, 2021
Controlling quality of next-generation sequencing (NGS) data files is a necessary but complex task. To address this problem, we statistically characterize common NGS quality features and develop a novel quality control procedure involving tree-based ...
Quality Control Software Machine Learning High-Throughput Nucleotide Sequencing ROC Curve Algorithms Databases, Genetic Genomics Reproducibility of Results Workflow Computational Biology
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Hands-on training about overfitting.

PLoS computational biology Mar 4, 2021
Overfitting is one of the critical problems in developing models by machine learning. With machine learning becoming an essential technology in computational biology, we must include training about overfitting in all courses that introduce this techn...
Humans Machine Learning Computational Biology Models, Statistical Software Models, Biological Data Science
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Attention based GRU-LSTM for software defect prediction.

PloS one Mar 4, 2021
Software defect prediction (SDP) can be used to produce reliable, high-quality software. The current SDP is practiced on program granular components (such as file level, class level, or function level), which cannot accurately predict failures. To so...
Software Neural Networks, Computer
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DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation.

PLoS computational biology Mar 2, 2021
We present DeepMIB, a new software package that is capable of training convolutional neural networks for segmentation of multidimensional microscopy datasets on any workstation. We demonstrate its successful application for segmentation of 2D and 3D ...
Neural Networks, Computer Software Deep Learning Algorithms User-Computer Interface Image Processing, Computer-Assisted
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2passtools: two-pass alignment using machine-learning-filtered splice junctions increases the accuracy of intron detection in long-read RNA sequencing.

Genome biology Mar 1, 2021
Transcription of eukaryotic genomes involves complex alternative processing of RNAs. Sequencing of full-length RNAs using long reads reveals the true complexity of processing. However, the relatively high error rates of long-read sequencing technolog...
Algorithms Reproducibility of Results RNA-Seq Machine Learning Software Sequence Alignment RNA Splicing Computational Biology RNA Splice Sites Molecular Sequence Annotation Introns
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