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Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study.

Laboratory investigation; a journal of technical methods and pathology Nov 15, 2021
Determination of 1p/19q co-deletion status is important for the classification, prognostication, and personalized therapy in diffuse lower-grade gliomas (LGG). We developed and validated a deep learning imaging signature (DLIS) from preoperative magn...
Prognosis Female Reproducibility of Results Adult Humans Deep Learning ROC Curve Glioma Magnetic Resonance Imaging Brain Neoplasms Male Middle Aged Chromosomes, Human, Pair 19 Neoplasm Grading Chromosome Deletion Chromosomes, Human, Pair 1
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Machine learning models for screening carotid atherosclerosis in asymptomatic adults.

Scientific reports Nov 15, 2021
Carotid atherosclerosis (CAS) is a risk factor for cardiovascular and cerebrovascular events, but duplex ultrasonography isn't recommended in routine screening for asymptomatic populations according to medical guidelines. We aim to develop machine le...
Carotid Artery Diseases Support Vector Machine Disease Susceptibility Asymptomatic Diseases Female Aged Male Models, Theoretical Mass Screening Middle Aged ROC Curve Machine Learning Biomarkers Humans
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Predictive Analysis and Evaluation Model of Chronic Liver Disease Based on BP Neural Network with Improved Ant Colony Algorithm.

Journal of healthcare engineering Nov 15, 2021
Timely prediction of the mechanism and characteristics of chronic liver disease using next-generation information technology is an effective way to improve the diagnosis rate of chronic liver disease. In this paper, we have proposed a modified backpr...
ROC Curve Humans Principal Component Analysis Neural Networks, Computer Liver Diseases Algorithms
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Explainable machine learning model for predicting the occurrence of postoperative malnutrition in children with congenital heart disease.

Clinical nutrition (Edinburgh, Scotland) Nov 10, 2021
BACKGROUND & AIMS: Malnutrition is persistent in 50%-75% of children with congenital heart disease (CHD) after surgery, and early prediction is crucial for nutritional intervention. The aim of this study was to develop and validate machine learning (...
Humans Machine Learning Predictive Value of Tests Malnutrition Postoperative Period Male Postoperative Complications Heart Defects, Congenital Infant Algorithms Clinical Decision Rules ROC Curve Prospective Studies Female
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Employing phylogenetic tree shape statistics to resolve the underlying host population structure.

BMC bioinformatics Nov 10, 2021
BACKGROUND: Host population structure is a key determinant of pathogen and infectious disease transmission patterns. Pathogen phylogenetic trees are useful tools to reveal the population structure underlying an epidemic. Determining whether a populat...
Machine Learning Algorithms Phylogeny ROC Curve Support Vector Machine
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Natural language processing of head CT reports to identify intracranial mass effect: CTIME algorithm.

The American journal of emergency medicine Nov 9, 2021
BACKGROUND: The Mortality Probability Model (MPM) is used in research and quality improvement to adjust for severity of illness and can also inform triage decisions. However, a limitation for its automated use or application is that it includes the v...
Area Under Curve ROC Curve Logistic Models Natural Language Processing Tomography, X-Ray Computed Electronic Health Records Brain Neoplasms Humans Machine Learning
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Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features.

Cells Nov 9, 2021
The requesting of detailed information on new drugs including drug-drug interactions or targets is often unavailable and resource-intensive in assessing adverse drug events. To shorten the common evaluation process of drug-drug interactions, we prese...
Databases as Topic Histamine Antagonists Machine Learning Algorithms Drug Interactions Cytochrome P-450 Enzyme System Reproducibility of Results ROC Curve
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Dynamic stochastic deep learning approaches for predicting geometric changes in head and neck cancer.

Physics in medicine and biology Nov 9, 2021
Modern radiotherapy stands to benefit from the ability to efficiently adapt plans during treatment in response to setup and geometric variations such as those caused by internal organ deformation or tumor shrinkage. A promising strategy is to develop...
Neural Networks, Computer Deep Learning ROC Curve Head and Neck Neoplasms Humans
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Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.

Computational and mathematical methods in medicine Nov 9, 2021
Early diagnosis of the harmful severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), along with clinical expertise, allows governments to break the transition chain and flatten the epidemic curve. Although reverse transcription-polymerase cha...
Humans COVID-19 Testing SARS-CoV-2 Software Design Deep Learning Early Diagnosis Databases, Factual False Positive Reactions ROC Curve Neural Networks, Computer Tomography, X-Ray Computed Radiography, Thoracic COVID-19 Pandemics Algorithms
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Diagnosis of Schizophrenia Based on Deep Learning Using fMRI.

Computational and mathematical methods in medicine Nov 9, 2021
Schizophrenia is a brain disease that frequently occurs in young people. Early diagnosis and treatment can reduce family burdens and reduce social costs. There is no objective evaluation index for schizophrenia. In order to improve the classification...
Functional Neuroimaging ROC Curve Computational Biology Magnetic Resonance Imaging Schizophrenia Case-Control Studies Diagnosis, Computer-Assisted Deep Learning Adult Male Middle Aged Algorithms Brain Humans Databases, Factual Female Neural Networks, Computer
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