AIMC Topic: Aged, 80 and over

Clear Filters Showing 2531 to 2540 of 3475 articles

Seeing the forest beyond the trees: Predicting survival in burn patients with machine learning.

American journal of surgery Nov 7, 2017
BACKGROUND: This study aims to identify predictors of survival for burn patients at the patient and hospital level using machine learning techniques.
Young Adult Adult Burns Male Middle Aged Infant Hospitals Adolescent Child, Preschool Child United States Decision Trees Prognosis Clinical Decision-Making Female Infant, Newborn Aged Aged, 80 and over Humans Machine Learning Decision Support Techniques
View on PubMed DOI

Estimating Local Costs Associated With Clostridium difficile Infection Using Machine Learning and Electronic Medical Records.

Infection control and hospital epidemiology Nov 6, 2017
BACKGROUND Reported per-patient costs of Clostridium difficile infection (CDI) vary by 2 orders of magnitude among different hospitals, implying that infection control officers need precise, local analyses to guide rational decision making between in...
Female Aged Aged, 80 and over Young Adult Adult Male Humans Machine Learning Retrospective Studies Electronic Health Records New York Cross Infection Clostridium Infections Propensity Score Clostridioides difficile Health Care Costs Middle Aged Length of Stay Adolescent Logistic Models Tertiary Care Centers
View on PubMed DOI

Inclusion of service robots in the daily lives of frail older users: A step-by-step definition procedure on users' requirements.

Archives of gerontology and geriatrics Oct 31, 2017
The implications for the inclusion of robots in the daily lives of frail older adults, especially in relation to these population needs, have not been extensively studied. The "Multi-Role Shadow Robotic System for Independent Living" (SRS) project ha...
Humans Frail Elderly Female Robotics Aged Middle Aged Activities of Daily Living Aged, 80 and over Independent Living Social Support Adult Focus Groups Qualitative Research Male Self-Help Devices Interviews as Topic Frailty
View on PubMed DOI

Validation of an online risk calculator for the prediction of anastomotic leak after colon cancer surgery and preliminary exploration of artificial intelligence-based analytics.

Techniques in coloproctology Oct 28, 2017
BACKGROUND: Recently published data support the use of a web-based risk calculator ( www.anastomoticleak.com ) for the prediction of anastomotic leak after colectomy. The aim of this study was to externally validate this calculator on a larger datase...
Area Under Curve Internet Colonic Neoplasms Colectomy Anastomotic Leak Reoperation Aged Aged, 80 and over Male Middle Aged Risk Assessment ROC Curve Humans Artificial Intelligence Algorithms Female Risk Factors
View on PubMed DOI

[Assessment of diet in patients with chronic kidney diseases without dialysis and relationship with the nutritional status].

Nutricion hospitalaria Oct 27, 2017
BACKGROUND: Diet is one of the pillars of the treatment for patients with chronic kidney disease without dialysis (NDD-CKD). Despite this, very few studies have evaluated the diet in Spanish population.
Creatinine Cross-Sectional Studies Nutritional Status Humans Spain Female Male Aged Middle Aged Aged, 80 and over Diet Adult Renal Insufficiency, Chronic
View on PubMed DOI

Comparing clinician descriptions of frailty and geriatric syndromes using electronic health records: a retrospective cohort study.

BMC geriatrics Oct 25, 2017
BACKGROUND: Geriatric syndromes, including frailty, are common in older adults and associated with adverse outcomes. We compared patients described in clinical notes as "frail" to other older adults with respect to geriatric syndrome burden and healt...
Humans Retrospective Studies Electronic Health Records Female Aged Patient Acceptance of Health Care Mobility Limitation Cognition Frailty Aged, 80 and over Frail Elderly Male Natural Language Processing Social Support Geriatric Assessment Weight Loss Cost of Illness United States
View on PubMed DOI

Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study.

Radiology Oct 23, 2017
Purpose To investigate diagnostic performance by using a deep learning method with a convolutional neural network (CNN) for the differentiation of liver masses at dynamic contrast agent-enhanced computed tomography (CT). Materials and Methods This cl...
Diagnosis, Differential Bile Duct Neoplasms Cholangiocarcinoma Middle Aged ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Humans Neural Networks, Computer Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Sensitivity and Specificity
View on PubMed DOI

Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

JACC. Cardiovascular imaging Oct 18, 2017
OBJECTIVES: This study evaluated the added predictive value of combining clinical information and myocardial perfusion single-photon emission computed tomography (SPECT) imaging (MPI) data using machine learning (ML) to predict major adverse cardiac ...
Myocardial Perfusion Imaging Health Status Predictive Value of Tests Exercise Test Tomography, Emission-Computed, Single-Photon Coronary Circulation Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Cardiovascular Diseases Middle Aged Risk Assessment Hemodynamics Time Factors Humans Machine Learning Prognosis
View on PubMed DOI

Older adults' acceptance of a robot for partner dance-based exercise.

PloS one Oct 18, 2017
Partner dance has been shown to be beneficial for the health of older adults. Robots could potentially facilitate healthy aging by engaging older adults in partner dance-based exercise. However, partner dance involves physical contact between the dan...
Humans Surveys and Questionnaires Technology Robotics Female Motivation Aged Demography Aged, 80 and over Dancing Biomechanical Phenomena Male Exercise
View on PubMed DOI

High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision.

Radiology Oct 17, 2017
Purpose To develop a machine learning model that allows high-risk breast lesions (HRLs) diagnosed with image-guided needle biopsy that require surgical excision to be distinguished from HRLs that are at low risk for upgrade to cancer at surgery and t...
Humans Machine Learning Prognosis Clinical Decision-Making Female Middle Aged Risk Assessment Follow-Up Studies Carcinoma, Intraductal, Noninfiltrating Watchful Waiting Precancerous Conditions Aged Aged, 80 and over Young Adult Adult Breast Neoplasms Image-Guided Biopsy Unnecessary Procedures
View on PubMed DOI
Popular Topics
Recent Journals