AIMC Topic: Humans

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[French comment on article A deep neural network improves endoscopic detection of early gastric cancer without blind spots].

Endoscopy May 28, 2019
Neural Networks, Computer Stomach Neoplasms Diagnosis, Computer-Assisted Gastroscopy Humans
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Pre-Treatment Biomarkers of Anti-Tumour Necrosis Factor Therapy Response in Crohn's Disease-A Systematic Review and Gene Ontology Analysis.

Cells May 28, 2019
The most prominent treatment for the serious cases of Crohn's disease (CD) are biological tumour necrosis factor (TNF) inhibitors. Unfortunately, therapy nonresponse is still a serious issue in ~1/3 of CD patients. Accurate prediction of responsivene...
Genome, Human Humans Gene Ontology Tumor Necrosis Factor-alpha Biomarkers Polymorphism, Single Nucleotide Crohn Disease RNA
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FusionAtt: Deep Fusional Attention Networks for Multi-Channel Biomedical Signals.

Sensors (Basel, Switzerland) May 28, 2019
Recently, pervasive sensing technologies have been widely applied to comprehensive patient monitoring in order to improve clinical treatment. Various types of biomedical signals collected by different sensing channels provide different aspects of pat...
Databases as Topic Humans Biomedical Technology ROC Curve Support Vector Machine Neural Networks, Computer Electroencephalography Algorithms Signal Processing, Computer-Assisted Attention
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The Use of Deep Learning to Predict Stroke Patient Mortality.

International journal of environmental research and public health May 28, 2019
The increase in stroke incidence with the aging of the Korean population will rapidly impose an economic burden on society. Timely treatment can improve stroke prognosis. Awareness of stroke warning signs and appropriate actions in the event of a str...
Humans Stroke Prognosis Neural Networks, Computer Models, Biological Risk Factors Deep Learning
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Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis.

Journal of medical systems May 28, 2019
A psychological disorder is a mutilation state of the body that intervenes the imperative functioning of the mind or brain. In the last few years, the number of psychological disorders patients has been significantly raised. This paper presents a com...
Brain Diseases Humans Behavior Mental Disorders Emotions Interpersonal Relations Supervised Machine Learning Data Mining
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Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury.

Scientific reports May 28, 2019
Muscle fat infiltration (MFI) of the deep cervical spine extensors has been observed in cervical spine conditions using time-consuming and rater-dependent manual techniques. Deep learning convolutional neural network (CNN) models have demonstrated st...
Humans Neural Networks, Computer Female Male Water Pain Reproducibility of Results Magnetic Resonance Imaging Spectrum Analysis Adult Muscle, Skeletal Image Processing, Computer-Assisted Whiplash Injuries Adipose Tissue Longitudinal Studies Spine Neck
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Rapid discrimination of multiple myeloma patients by artificial neural networks coupled with mass spectrometry of peripheral blood plasma.

Scientific reports May 28, 2019
Multiple myeloma (MM) is a highly heterogeneous disease of malignant plasma cells. Diagnosis and monitoring of MM patients is based on bone marrow biopsies and detection of abnormal immunoglobulin in serum and/or urine. However, biopsies have a singl...
Principal Component Analysis Metabolic Networks and Pathways Bone Marrow Multiple Myeloma Datasets as Topic Immunoglobulins Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Middle Aged Case-Control Studies Metabolome Aged Aged, 80 and over Male Artificial Intelligence Humans Female Neural Networks, Computer
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Assessment of risk based on variant pathways and establishment of an artificial neural network model of thyroid cancer.

BMC medical genetics May 28, 2019
BACKGROUND: This study aimed to establish an artificial neural network (ANN) model based on variant pathways to predict the risk of thyroid cancer.
Biomarkers, Tumor Gene Expression Profiling Thyroid Neoplasms Gene Regulatory Networks Humans Neural Networks, Computer Risk Factors Gene Expression Regulation, Neoplastic Signal Transduction Cluster Analysis
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Robust identification of molecular phenotypes using semi-supervised learning.

BMC bioinformatics May 28, 2019
BACKGROUND: Modern molecular profiling techniques are yielding vast amounts of data from patient samples that could be utilized with machine learning methods to provide important biological insights and improvements in patient outcomes. Unsupervised ...
Humans Algorithms Phenotype Prognosis Disease-Free Survival Databases as Topic Gene Expression Regulation, Neoplastic Chemotherapy, Adjuvant Female Lymphoma Breast Neoplasms Supervised Machine Learning RNA, Messenger
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MHCSeqNet: a deep neural network model for universal MHC binding prediction.

BMC bioinformatics May 28, 2019
BACKGROUND: Immunotherapy is an emerging approach in cancer treatment that activates the host immune system to destroy cancer cells expressing unique peptide signatures (neoepitopes). Administrations of cancer-specific neoepitopes in the form of synt...
Proteome Databases, Protein Area Under Curve Models, Biological Peptides Software Protein Binding Animals Mice Humans Neural Networks, Computer Alleles Histocompatibility Antigens Class I
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