AIMC Topic: Aged

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Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients.

IEEE journal of biomedical and health informatics May 13, 2019
Estimating hospital mortality of patients is important in assisting clinicians to make decisions and hospital providers to allocate resources. This paper proposed a multi-task recurrent neural network with attention mechanisms to predict patients' ho...
Middle Aged Hospital Mortality Neural Networks, Computer Electronic Health Records Humans Female Aged Male
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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.
Registries Sensitivity and Specificity False Positive Reactions Male Bayes Theorem Risk Cardiovascular Diseases Kidney Failure, Chronic Biomarkers Middle Aged Support Vector Machine Italy Models, Statistical Prognosis Humans Female Machine Learning Aged Algorithms Databases, Factual
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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.
Resuscitation Area Under Curve Fluid Therapy Critical Care Urination Machine Learning Algorithms Intensive Care Units Electronic Health Records Male Humans Middle Aged Female Sepsis Risk Factors Decision Support Systems, Clinical Aged Kidney Function Tests Sensitivity and Specificity
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Recovery of pad-free continence in elderly men does not differ from younger men undergoing robot-assisted radical prostatectomy for aggressive prostate cancer.

World journal of urology May 11, 2019
PURPOSE: To analyze urinary continence outcome following robot-assisted radical prostatectomy (RARP) for aggressive prostate cancer in men aged ≥ 70 and < 70 years.
Follow-Up Studies Recovery of Function Robotics Prostatic Neoplasms Urinary Incontinence Urination Prostatectomy Aged Male Middle Aged Treatment Outcome Humans Retrospective Studies
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Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.

Computer methods and programs in biomedicine May 11, 2019
BACKGROUND AND OBJECTIVE: Magnetic resonance imaging (MRI) is an indispensable tool in diagnosing brain-tumor patients. Automated tumor segmentation is being widely researched to accelerate the MRI analysis and allow clinicians to precisely plan trea...
Algorithms Brain Female Aged Humans Brain Neoplasms Neural Networks, Computer Male Imaging, Three-Dimensional Machine Learning Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Young Adult Adult
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Psychosocial Health Interventions by Social Robots: Systematic Review of Randomized Controlled Trials.

Journal of medical Internet research May 10, 2019
BACKGROUND: Social robots that can communicate and interact with people offer exciting opportunities for improved health care access and outcomes. However, evidence from randomized controlled trials (RCTs) on health or well-being outcomes has not yet...
Robotics Psychology Humans Autism Spectrum Disorder Adolescent Child Randomized Controlled Trials as Topic Aged Young Adult
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How do "robopets" impact the health and well-being of residents in care homes? A systematic review of qualitative and quantitative evidence.

International journal of older people nursing May 9, 2019
BACKGROUND: Robopets are small animal-like robots which have the appearance and behavioural characteristics of pets.
Humans Quality of Life Health Status Robotics Homes for the Aged Pets Aged Aged, 80 and over Mental Health Animals
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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...
Diabetic Retinopathy Neural Networks, Computer Databases, Factual Female Aged Humans Area Under Curve Retina Smoking Adult Male Middle Aged ROC Curve
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Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists.

Gastrointestinal endoscopy May 8, 2019
BACKGROUND AND AIMS: Cancer invasion depth is a critical factor affecting the choice of treatment in patients with superficial squamous cell carcinoma (SCC). However, the diagnosis of invasion depth is currently subjective and liable to interobserver...
Male Middle Aged Deep Learning Neoplasm Invasiveness Esophageal Neoplasms Female Aged Aged, 80 and over Adult Esophageal Squamous Cell Carcinoma Esophagoscopy Gastroenterologists Humans Neural Networks, Computer
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Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates.

Sensors (Basel, Switzerland) May 8, 2019
Oscillometric blood pressure (BP) monitors currently estimate a single point but do not identify variations in response to physiological characteristics. In this paper, to analyze BP's normality based on oscillometric measurements, we use statistical...
Blood Pressure Systole Statistics as Topic Diastole Deep Learning Algorithms Adolescent Female Child Reproducibility of Results Regression Analysis Aged Humans Adult Aged, 80 and over Male Young Adult Middle Aged
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