AIMC Topic: Humans

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nCREANN: Nonlinear Causal Relationship Estimation by Artificial Neural Network; Applied for Autism Connectivity Study.

IEEE transactions on medical imaging May 13, 2019
Quantifying causal (effective) interactions between different brain regions are very important in neuroscience research. Many conventional methods estimate effective connectivity based on linear models. However, using linear connectivity models may o...
Autism Spectrum Disorder Brain Computer Simulation Child Humans Neural Networks, Computer Nerve Net Electroencephalography Signal Processing, Computer-Assisted Nonlinear Dynamics
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Retrospective correction of motion-affected MR images using deep learning frameworks.

Magnetic resonance in medicine May 13, 2019
PURPOSE: Motion is 1 extrinsic source for imaging artifacts in MRI that can strongly deteriorate image quality and, thus, impair diagnostic accuracy. In addition to involuntary physiological motion such as respiration and cardiac motion, intended and...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Head Young Adult Adult Male Head Movements Humans Female
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A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVE: Patients with End- Stage Kidney Disease (ESKD) have a unique cardiovascular risk. This study aims at predicting, with a certain precision, death and cardiovascular diseases in dialysis patients.
Support Vector Machine Models, Statistical Bayes Theorem Kidney Failure, Chronic Male Algorithms Cardiovascular Diseases Databases, Factual Middle Aged Humans Biomarkers Risk Italy Machine Learning Prognosis Registries Female False Positive Reactions Aged Sensitivity and Specificity
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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.
Middle Aged Sepsis Decision Support Systems, Clinical Kidney Function Tests Humans Urination Area Under Curve Machine Learning Resuscitation Fluid Therapy Algorithms Critical Care Risk Factors Intensive Care Units Aged Electronic Health Records Sensitivity and Specificity Female Male
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Surgical skill levels: Classification and analysis using deep neural network model and motion signals.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVES: Currently, the assessment of surgical skills relies primarily on the observations of expert surgeons. This may be time-consuming, non-scalable, inconsistent and subjective. Therefore, an automated system that can objectivel...
Accelerometry Movement Sutures Motion Calibration Adult Neural Networks, Computer Male Algorithms Surgeons Female Clinical Competence Middle Aged Young Adult Minimally Invasive Surgical Procedures Laparoscopy Robotic Surgical Procedures Humans
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Smoothing dense spaces for improved relation extraction between drugs and adverse reactions.

International journal of medical informatics May 13, 2019
BACKGROUND AND OBJECTIVE: This work aims at extracting Adverse Drug Reactions (ADRs), i.e. a harm directly caused by a drug at normal doses, from Electronic Health Records (EHRs). The lack of readily available EHRs because of confidentiality issues a...
Natural Language Processing Drug-Related Side Effects and Adverse Reactions Semantics Adverse Drug Reaction Reporting Systems Humans Electronic Health Records
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Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing.

International journal of medical informatics May 13, 2019
BACKGROUND: The management of hypertrophic cardiomyopathy (HCM) patients requires the knowledge of risk factors associated with sudden cardiac death (SCD). SCD risk factors such as syncope and family history of SCD (FH-SCD) as well as family history ...
Male Middle Aged Natural Language Processing Cardiomyopathy, Hypertrophic Electronic Health Records Female Risk Factors Death, Sudden, Cardiac Humans Algorithms Prognosis
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Label-Free Identification of White Blood Cells Using Machine Learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology May 13, 2019
White blood cell (WBC) differential counting is an established clinical routine to assess patient immune system status. Fluorescent markers and a flow cytometer are required for the current state-of-the-art method for determining WBC differential cou...
Flow Cytometry Leukocytes Quality Control Leukocyte Count Humans Machine Learning Algorithms
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Emotion Recognition from Multiband EEG Signals Using CapsNet.

Sensors (Basel, Switzerland) May 13, 2019
Emotion recognition based on multi-channel electroencephalograph (EEG) signals is becoming increasingly attractive. However, the conventional methods ignore the spatial characteristics of EEG signals, which also contain salient information related to...
Electroencephalography Signal Processing, Computer-Assisted Electrodes Cerebral Cortex Entropy Humans Machine Learning Emotions
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A New Approach for Construction of Geodemographic Segmentation Model and Prediction Analysis.

Computational intelligence and neuroscience May 13, 2019
Customer retention is invariably the top priority of all consumer businesses, and certainly it is one of the most critical challenges as well. Identifying and gaining insights into the most probable cause of churn can save from five to ten times in t...
Consumer Behavior Humans Commerce Machine Learning Forecasting
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