AIMC Topic: Humans

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Artificial intelligence and machine learning in haematology.

British journal of haematology Feb 6, 2019
Machine Learning Hematologic Diseases Hematologic Tests Hematology Humans Artificial Intelligence
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A Novel Approach of Mathematical Theory of Shape and Neuro-Fuzzy Based Diagnostic Analysis of Cervical Cancer.

Pathology oncology research : POR Feb 6, 2019
This study aims to detect the abnormal growth of tissue in cervix region for diagnosis of cervical cancer using Pap test of patients. The proposed methodology classifies cervical cancer for pattern recognition either benign or malignant stages using ...
Pattern Recognition, Automated Female Uterine Cervical Neoplasms Humans Image Processing, Computer-Assisted Models, Theoretical Fuzzy Logic
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The use of artificial neural network analysis can improve the risk-stratification of patients presenting with suspected deep vein thrombosis.

British journal of haematology Feb 6, 2019
Artificial neural networks are machine-learning algorithms designed to analyse data without a pre-existing hypothesis as to any associations that may exist. This technique has not previously been applied to the risk stratification of patients referre...
Neural Networks, Computer Algorithms Biomarkers Retrospective Studies Humans Venous Thrombosis Predictive Value of Tests False Negative Reactions Proof of Concept Study Middle Aged Fibrin Fibrinogen Degradation Products Risk Assessment Female Ultrasonography Adult Male
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Ultrasensitive sandwich-type immunosensor for cardiac troponin I based on enhanced electrocatalytic reduction of HO using β-cyclodextrins functionalized 3D porous graphene-supported Pd@Au nanocubes.

Journal of materials chemistry. B Feb 6, 2019
In this study, Pd@Au nanocubes supported β-cyclodextrins functionalized three-dimensional porous graphene (CDs-3D-PG-Pd@Au NCs) was synthesized using a facile method. β-cyclodextrins (CDs) were beneficial in improving the dispersibility of three-dime...
Catalysis Troponin I Electrochemical Techniques Immunoassay Antibodies, Immobilized Palladium Humans Porosity beta-Cyclodextrins Nanostructures Gold Reproducibility of Results Graphite Limit of Detection Hydrogen Peroxide
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Adaboost-SVM-based probability algorithm for the prediction of all mature miRNA sites based on structured-sequence features.

Scientific reports Feb 6, 2019
The significant role of microRNAs (miRNAs) in various biological processes and diseases has been widely studied and reported in recent years. Several computational methods associated with mature miRNA identification suffer various limitations involvi...
Computational Biology Support Vector Machine MicroRNAs Base Sequence RNA Precursors Humans Algorithms
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DeepPVP: phenotype-based prioritization of causative variants using deep learning.

BMC bioinformatics Feb 6, 2019
BACKGROUND: Prioritization of variants in personal genomic data is a major challenge. Recently, computational methods that rely on comparing phenotype similarity have shown to be useful to identify causative variants. In these methods, pathogenicity ...
Deep Learning Genetic Variation Gene Frequency Neural Networks, Computer Software Phenotype Exome Sequencing Exome Humans
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Detecting Potential Adverse Drug Reactions Using a Deep Neural Network Model.

Journal of medical Internet research Feb 6, 2019
BACKGROUND: Adverse drug reactions (ADRs) are common and are the underlying cause of over a million serious injuries and deaths each year. The most familiar method to detect ADRs is relying on spontaneous reports. Unfortunately, the low reporting rat...
Adverse Drug Reaction Reporting Systems Prohibitins Humans Neural Networks, Computer
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Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study.

JMIR mHealth and uHealth Feb 6, 2019
BACKGROUND: Wearable accelerometers have greatly improved measurement of physical activity, and the increasing popularity of smartwatches with inherent acceleration data collection suggest their potential use in the physical activity research domain;...
Machine Learning Female Male Humans Accelerometry Actigraphy Middle Aged Human Activities Smartphone Recognition, Psychology Validation Studies as Topic
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Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification.

Computational intelligence and neuroscience Feb 6, 2019
This paper presents a multi-information flow convolutional neural network (MiF-CNN) model for person reidentification (re-id). It contains several specific multilayer convolutional structures, where the input and output of a convolutional layer are c...
Humans Neural Networks, Computer Algorithms Recognition, Psychology Attention Identification, Psychological Pattern Recognition, Automated Biometric Identification
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Predicting inadequate postoperative pain management in depressed patients: A machine learning approach.

PloS one Feb 6, 2019
Widely-prescribed prodrug opioids (e.g., hydrocodone) require conversion by liver enzyme CYP-2D6 to exert their analgesic effects. The most commonly prescribed antidepressant, selective serotonin reuptake inhibitors (SSRIs), inhibits CYP-2D6 activity...
Depression Natural Language Processing Pain, Postoperative Models, Biological Pain Management Postoperative Period Adult Male Middle Aged Electronic Health Records Female Aged Selective Serotonin Reuptake Inhibitors Humans Drug Prescriptions Machine Learning Antidepressive Agents Hydrocodone
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