AIMC Topic: Age Factors

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The effects of age and amplitude on wrist proprioceptive acuity.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2017
This study examined wrist proprioception in a cross-sectional sample of 44 children aged between 8-to 14-years and a control group of 10 neurologically and physically healthy adults. Using a 3-degrees of freedom robotic device, participants performed...
Wrist Proprioception Adolescent Child Age Factors Robotics Equipment Design Humans Female Adult Male
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Machine learning of swimming data via wisdom of crowd and regression analysis.

Mathematical biosciences and engineering : MBE Apr 1, 2017
Every performance, in an officially sanctioned meet, by a registered USA swimmer is recorded into an online database with times dating back to 1980. For the first time, statistical analysis and machine learning methods are systematically applied to 4...
Age Factors Regression Analysis Sex Factors Athletic Performance Swimming Databases, Factual Physical Education and Training Humans Computer Simulation Machine Learning Female Male Models, Theoretical
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Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach.

Medical care Mar 1, 2017
BACKGROUND: Multimorbidity affects the majority of elderly adults and is associated with higher health costs and utilization, but how specific patterns of morbidity influence resource use is less understood.
Humans Machine Learning Retrospective Studies Female Socioeconomic Factors Health Status Age Factors Medicare Self Report Aged Aged, 80 and over Male Comorbidity United States Health Expenditures Activities of Daily Living Health Behavior
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[Some features controlling the blood D-dimer level after resection of malignant brain glioma].

Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko Jan 1, 2017
UNLABELLED: A high blood D-dimer level is often diagnosed in patients with malignant brain glioma (MBG), with 24% of these patients being detected with deep vein thrombosis of the leg and/or pulmonary embolism (PE). The cause of an elevated blood D-d...
Venous Thrombosis Age Factors Pulmonary Embolism Fibrin Fibrinogen Degradation Products Craniotomy Brain Neoplasms Humans Male Female Middle Aged Aged Postoperative Complications Adult Glioma
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Right putamen and age are the most discriminant features to diagnose Parkinson's disease by using I-FP-CIT brain SPET data by using an artificial neural network classifier, a classification tree (ClT).

Hellenic journal of nuclear medicine Jan 1, 2017
OBJECTIVE: The differential diagnosis of Parkinson's disease (PD) and other conditions, such as essential tremor and drug-induced parkinsonian syndrome or normal aging brain, represents a diagnostic challenge. I-FP-CIT brain SPET is able to contribut...
Humans Neural Networks, Computer Female Age Factors Parkinson Disease Tomography, Emission-Computed, Single-Photon Tropanes Putamen Aged Aged, 80 and over Male Middle Aged Image Processing, Computer-Assisted
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P569Diastolic dyssynchrony is associated with exercise intolerance in hypertensive patients with left ventricular hypertrophy.

European heart journal. Cardiovascular Imaging Dec 1, 2016
BACKGROUND: Left ventricular hypertrophy (LVH) is associated with intra-ventricular dyssynchrony at systolic phase during exercise in hypertensive patients. However, dypsnea on exertion is much more correlated with diastolic phase. We investigated wh...
Hypertension Age Factors Exercise Test Humans Male Ventricular Dysfunction, Left Prognosis Exercise Tolerance Middle Aged Multivariate Analysis Female Sex Factors Analysis of Variance Risk Assessment Aged Hypertrophy, Left Ventricular Case-Control Studies Adult Heart Failure, Diastolic Time Factors
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Human static postures analysis using empirical mode decomposition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The goal of this paper is to analyze the human stability during static postures using stabilometric signals. The effects of subject's visual input, feet position, age and gender are analyzed. Twenty eight healthy subjects have participated in this st...
Signal Processing, Computer-Assisted Pressure Foot Male Middle Aged Age Factors Monitoring, Physiologic Posture Humans Female Aged Young Adult Adult
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Challenges and Opportunities for Increasing the Knowledge Base Related to Drug Biotransformation and Pharmacokinetics during Growth and Development.

Drug metabolism and disposition: the biological fate of chemicals Jul 1, 2016
It is generally acknowledged that there is a need and role for informative pharmacokinetic models to improve predictions and simulation as well as individualization of drug therapy in pediatric populations of different ages and developmental stages. ...
Adolescent Development Membrane Transport Proteins Gene Expression Regulation, Enzymologic Child Development Enzymes Gene Expression Regulation, Developmental Infant Adolescent Child, Preschool Child Age Factors Pharmaceutical Preparations Models, Biological Knowledge Bases Humans Biotransformation Computer Simulation Pharmacokinetics Infant, Newborn Aging
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Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.

Critical care medicine Feb 1, 2016
OBJECTIVE: Machine learning methods are flexible prediction algorithms that may be more accurate than conventional regression. We compared the accuracy of different techniques for detecting clinical deterioration on the wards in a large, multicenter ...
Diagnostic Techniques and Procedures Age Factors Neural Networks, Computer Models, Statistical Machine Learning Humans Survival Analysis Intensive Care Units Time Factors Vital Signs Risk Assessment ROC Curve Heart Arrest Cohort Studies Logistic Models Socioeconomic Factors Support Vector Machine
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The drug prescription network: a system-level view of drug co-prescription in community-dwelling elderly people.

Rejuvenation research Apr 1, 2015
Networks are well suited to display and analyze complex systems that consist of numerous and interlinked elements. This study aimed at: (1) generating a series of drug prescription networks (DPNs) displaying co-prescription in community-dwelling elde...
Female Aged Aged, 80 and over Male Time Factors Age Factors Cluster Analysis Italy Data Mining Pattern Recognition, Automated Databases, Pharmaceutical Drug Information Services Community Pharmacy Services Pharmacoepidemiology Humans Practice Patterns, Physicians' Neural Networks, Computer Drug Prescriptions Independent Living Polypharmacy National Health Programs
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