AIMC Topic: Aged

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Prediction of findings at screening colonoscopy using a machine learning algorithm based on complete blood counts (ColonFlag).

PloS one Nov 27, 2018
Adenomatous polyps are a common precursor lesion for colorectal cancer. ColonFlag is a machine- learning-based algorithm that uses basic patient information and complete blood cell counts (CBC) to identify individuals at elevated risk of colorectal c...
Mass Screening Blood Cell Count Colorectal Neoplasms Male Humans Middle Aged Machine Learning Colonoscopy Female Aged
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Refining Convolutional Neural Network Detection of Small-Bowel Obstruction in Conventional Radiography.

AJR. American journal of roentgenology Nov 26, 2018
OBJECTIVE: The purpose of this study was to evaluate improvement of convolutional neural network detection of high-grade small-bowel obstruction on conventional radiographs with increased training set size.
Radiography Intestinal Obstruction Intestine, Small Neural Networks, Computer Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult Male Humans Middle Aged Adolescent
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Efficient sleep classification based on entropy features and a support vector machine classifier.

Physiological measurement Nov 26, 2018
OBJECTIVE: Sleep quality helps to reflect on the physical and mental condition, and efficient sleep stage scoring promises considerable advantages to health care. The aim of this study is to propose a simple and efficient sleep classification method ...
Female Aged Aged, 80 and over Adult Male Humans Healthy Volunteers Sleep Entropy Electrooculography Middle Aged Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Heart Rate
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eDRAM: Effective early disease risk assessment with matrix factorization on a large-scale medical database: A case study on rheumatoid arthritis.

PloS one Nov 26, 2018
Recently, a number of analytical approaches for probing medical databases have been developed to assist in disease risk assessment and to determine the association of a clinical condition with others, so that better and intelligent healthcare can be ...
Prognosis Female Risk Factors Aged Adult Male Middle Aged Risk Assessment Cohort Studies Arthritis, Rheumatoid Humans Machine Learning Databases, Factual
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Effects of ω-3 supplementation on the nutritional status, immune, and inflammatory profiles of gastric cancer patients: A randomized controlled trial.

Nutrition (Burbank, Los Angeles County, Calif.) Nov 24, 2018
OBJECTIVE: The aim of this study was to study the effect of ω-3 supplementation on the nutritional status and the immune and inflammatory profiles of patients with gastric cancer during antineoplastic pretreatment.
Longitudinal Studies Adult Humans Weight Gain Dietary Supplements Fatty Acids, Omega-3 Stomach Neoplasms C-Reactive Protein Interleukin-6 Food, Formulated Male Anthropometry Female Middle Aged Nutritional Status Aged Treatment Outcome
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High rates of atherogenic dyslipidemia, β-cell function loss, and microangiopathy among Turkish migrants with T2DM.

Diabetes & metabolic syndrome Nov 24, 2018
AIMS: Non-Caucasian migrants require dedicated approaches in diabetes management due to specific genetic; socio-cultural; demographic and anthropological determinants. Documenting such phenotypes allows for better understanding unmet needs and manage...
Female Middle Aged Insulin-Secreting Cells Humans Transients and Migrants Phenotype Aged Case-Control Studies Turkey Cross-Sectional Studies Blood Glucose Male Waist Circumference Socioeconomic Factors Dyslipidemias Body Mass Index Diabetic Angiopathies
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Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.

Academic radiology Nov 23, 2018
RATIONALE AND OBJECTIVES: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a significant negative impact on the quality of life and accelerate progression of the disease. Functional respiratory imaging (FRI) has the potential t...
Predictive Value of Tests Tidal Volume Airway Resistance Functional Residual Capacity Male Middle Aged Disease Progression Support Vector Machine Humans Retrospective Studies Female Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive
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The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Emergency medicine Australasia : EMA Nov 23, 2018
OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques.
Female Aged Aged, 80 and over Adult Male Humans Machine Learning Forecasting Retrospective Studies Area Under Curve Middle Aged Emergency Service, Hospital Adolescent Bayes Theorem ROC Curve Patient Admission Logistic Models New South Wales Triage
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A nurse-driven method for developing artificial intelligence in "smart" homes for aging-in-place.

Nursing outlook Nov 23, 2018
OBJECTIVES: To offer practical guidance to nurse investigators interested in multidisciplinary research that includes assisting in the development of artificial intelligence (AI) algorithms for "smart" health management and aging-in-place.
Independent Living Male Humans Home Care Services Middle Aged Nursing Care Telemedicine Artificial Intelligence Housing for the Elderly Activities of Daily Living Female Monitoring, Ambulatory Aged
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DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs.

Ophthalmology Nov 22, 2018
PURPOSE: In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AMD. However, its manual use requires the time-consuming partic...
Humans Disease Progression Aged Severity of Illness Index Area Under Curve Aged, 80 and over Prospective Studies Diagnosis, Computer-Assisted Diagnostic Techniques, Ophthalmological Sensitivity and Specificity Female Deep Learning Photography Male Reproducibility of Results Models, Theoretical Middle Aged Retinal Drusen Risk Factors Geographic Atrophy
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