AIMC Topic: Area Under Curve

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Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning.

BMC bioinformatics May 28, 2019
BACKGROUND: The recent success of immunotherapy in treating tumors has attracted increasing interest in research related to the adaptive immune system in the tumor microenvironment. Recent advances in next-generation sequencing technology enabled the...
Complementarity Determining Regions Receptors, Antigen, B-Cell ROC Curve Immunity, Humoral Databases, Genetic Area Under Curve Supervised Machine Learning Amino Acid Sequence Immunoglobulins High-Throughput Nucleotide Sequencing Amino Acid Motifs Humans Algorithms Tumor Microenvironment
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Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data.

PloS one May 23, 2019
BACKGROUND: Gene shaving (GS) is an essential and challenging tools for biomedical researchers due to the large number of genes in human genome and the complex nature of biological networks. Most GS methods are not applicable to non-linear and multi-...
Colonic Neoplasms Algorithms Genetic Techniques Nonlinear Dynamics Humans Computer Simulation False Positive Reactions Artificial Intelligence Gene Expression Profiling Oligonucleotide Array Sequence Analysis Machine Learning Computational Biology Software Area Under Curve
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Brain tumor detection using statistical and machine learning method.

Computer methods and programs in biomedicine May 17, 2019
BACKGROUND AND OBJECTIVE: Brain tumor occurs because of anomalous development of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths can be prevented through early detection of brain tumor. Earlier brain tumo...
Humans Pattern Recognition, Automated Magnetic Resonance Imaging Wavelet Analysis Machine Learning Models, Statistical Algorithms Brain Neoplasms Decision Trees Brain ROC Curve Area Under Curve Reproducibility of Results Image Processing, Computer-Assisted Bayes Theorem Glioma
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A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.

Brachytherapy May 15, 2019
PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. T...
Female Risk Factors Aged Aged, 80 and over Adult Humans Retrospective Studies Genital Neoplasms, Female Brachytherapy Vesicovaginal Fistula Rectovaginal Fistula Middle Aged Models, Theoretical Support Vector Machine Predictive Value of Tests Area Under Curve
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A machine learning approach for predicting urine output after fluid administration.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVE: To develop a machine learning model to predict urine output (UO) in sepsis patients after fluid resuscitation.
Aged Sensitivity and Specificity Male Middle Aged Sepsis Decision Support Systems, Clinical Kidney Function Tests Area Under Curve Fluid Therapy Algorithms Intensive Care Units Electronic Health Records Female Humans Risk Factors Critical Care Machine Learning Urination Resuscitation
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Automated summarisation of SDOCT volumes using deep learning: Transfer learning vs de novo trained networks.

PloS one May 13, 2019
Spectral-domain optical coherence tomography (SDOCT) is a non-invasive imaging modality that generates high-resolution volumetric images. This modality finds widespread usage in ophthalmology for the diagnosis and management of various ocular conditi...
Deep Learning Image Processing, Computer-Assisted Area Under Curve Humans Tomography, Optical Coherence Neural Networks, Computer Algorithms Reproducibility of Results
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Recognition of 3'-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models.

Scientific reports May 10, 2019
The role of 3'-end stem-loops in retrotransposition was experimentally demonstrated for transposons of various species, where LINE-SINE retrotransposons share the same 3'-end sequences, containing a stem-loop. We have discovered that 62-68% of proces...
Humans Alu Elements Machine Learning Area Under Curve Genome, Human ROC Curve Pseudogenes RNA, Messenger 3' Untranslated Regions Long Interspersed Nucleotide Elements
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Detection of smoking status from retinal images; a Convolutional Neural Network study.

Scientific reports May 9, 2019
Cardiovascular diseases are directly linked to smoking habits, which has both physiological and anatomical effects on the systemic and retinal circulations, and these changes can be detected with fundus photographs. Here, we aimed to 1- design a Conv...
ROC Curve Humans Area Under Curve Diabetic Retinopathy Retina Female Neural Networks, Computer Smoking Databases, Factual Aged Adult Male Middle Aged
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Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study.

The Lancet. Digital health May 2, 2019
BACKGROUND: Radical measures are required to identify and reduce blindness due to diabetes to achieve the Sustainable Development Goals by 2030. Therefore, we evaluated the accuracy of an artificial intelligence (AI) model using deep learning in a po...
Humans Mass Screening Diabetic Retinopathy Female Area Under Curve Neural Networks, Computer Adult Retina Artificial Intelligence Sensitivity and Specificity Photography Prospective Studies Male Zambia Deep Learning
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A deep learning radiomics model for preoperative grading in meningioma.

European journal of radiology May 1, 2019
OBJECTIVES: To noninvasively differentiate meningioma grades by deep learning radiomics (DLR) model based on routine post-contrast MRI.
Meningeal Neoplasms Meninges Area Under Curve Neoplasm Grading Preoperative Care Meningioma Aged Algorithms Humans Middle Aged Deep Learning Young Adult Adolescent Adult Cohort Studies Sensitivity and Specificity Magnetic Resonance Imaging Male Prognosis Retrospective Studies Female Reproducibility of Results
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