AIMC Topic: Aged, 80 and over

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Classification of the trabecular bone structure of osteoporotic patients using machine vision.

Computers in biology and medicine Oct 13, 2017
Osteoporosis is a common bone disease which often leads to fractures. Clinically, the major challenge for the automatic diagnosis of osteoporosis is the complex architecture of bones. The clinical diagnosis of osteoporosis is conventionally done usin...
Absorptiometry, Photon Calcaneus Retrospective Studies Osteoporosis Female Aged Aged, 80 and over Adult Middle Aged Support Vector Machine Supervised Machine Learning Image Interpretation, Computer-Assisted Humans
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Pattern of improvement in upper limb pointing task kinematics after a 3-month training program with robotic assistance in stroke.

Journal of neuroengineering and rehabilitation Oct 13, 2017
BACKGROUND: When exploring changes in upper limb kinematics and motor impairment associated with motor recovery in subacute post stroke during intensive therapies involving robot-assisted training, it is not known whether trained joints improve befor...
Aged Aged, 80 and over Young Adult Adult Biomechanical Phenomena Humans Retrospective Studies Female Elbow Psychomotor Performance Shoulder Male Paresis Middle Aged Upper Extremity Treatment Outcome Stroke Rehabilitation Robotics Occupational Therapy
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Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

International journal of medical informatics Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
Female Aged Aged, 80 and over Young Adult Adult Humans Machine Learning Databases, Factual Intensive Care Units ROC Curve Bayes Theorem Outcome Assessment, Health Care Heart Diseases Male Middle Aged Severity of Illness Index Adolescent Hospital Mortality
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Pneumatic Displacement of Submacular Hemorrhage with Subretinal Air and Tissue Plasminogen Activator: Initial United States Experience.

Ophthalmology. Retina Sep 28, 2017
PURPOSE: To present the initial multicenter experience of using subretinal air injection in combination with tissue plasminogen activator (tPA) at the time of pars plana vitrectomy (PPV) to displace submacular hemorrhage (SMH).
Follow-Up Studies Visual Acuity Fibrinolytic Agents Injections, Intraocular Tomography, Optical Coherence Retinal Hemorrhage Fundus Oculi Vitrectomy Male Retina Humans Tissue Plasminogen Activator Middle Aged Retrospective Studies Air Time Factors Female Endotamponade United States Aged Fluorescein Angiography Treatment Outcome Aged, 80 and over
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Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 23, 2017
The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques, i.e., fuzzy-c-means clustering method (FCM), and the artificial neural network (ANN) and support vector machine (SVM), on an automated framework for ...
Radiopharmaceuticals Radiotherapy Planning, Computer-Assisted Tumor Burden Pattern Recognition, Automated Fluorodeoxyglucose F18 Radiosurgery Time Factors Imaging, Three-Dimensional Lung Neoplasms Fuzzy Logic Positron Emission Tomography Computed Tomography Reproducibility of Results Aged Aged, 80 and over Male Lung Humans Neural Networks, Computer Machine Learning Female
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Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals.

Computer methods and programs in biomedicine Sep 20, 2017
BACKGROUND AND OBJECTIVES: A huge number of solutions based on computational systems have been recently developed for the classification of cognitive abnormalities in older people, so that individuals at high risk of developing neurodegenerative dise...
Humans Neural Networks, Computer Machine Learning Prognosis Regression Analysis Sex Factors Nonlinear Dynamics Early Diagnosis Middle Aged Female Aged Cognitive Dysfunction Aged, 80 and over Dementia Sensitivity and Specificity ROC Curve Male Age Factors
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The effectiveness of various robotic technologies in assisting older adults.

Health informatics journal Sep 19, 2017
There is concern about the expanding size of the ageing population and burgeoning care costs for older adults. Robotic technology could assist older adults. In this study, the effectiveness of the robotic technologies is evaluated. A systematic liter...
Self-Help Devices Humans Aged, 80 and over Male Robotics Geriatrics Female Aged
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Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology.

Disease markers Sep 17, 2017
Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a set of venous thromboembolism (VTE) risk predictors, which could be useful to devise a web interface for VTE risk stratification in chemotherapy-treat...
Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male Humans Venous Thromboembolism Middle Aged Machine Learning Antineoplastic Agents Adolescent Models, Statistical
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Stakeholders' Perceptions Sought to Inform the Development of a Low-Cost Mobile Robot for Older Adults: A Qualitative Descriptive Study.

Clinical nursing research Sep 16, 2017
Creative solutions are needed to support community-dwelling older adults residing in a variety of settings including their house, apartment, or Supportive Apartment Living (SAL) to promote independence and reduce the risk of nursing home replacement....
Robotics Activities of Daily Living Perception Caregivers Independent Living Focus Groups Interpersonal Relations Self-Help Devices Aged, 80 and over Adult Male Middle Aged Qualitative Research Humans Health Personnel Female Aged
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Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology.

Journal of biomedical semantics Sep 16, 2017
BACKGROUND: Bio-ontologies are becoming increasingly important in knowledge representation and in the machine learning (ML) fields. This paper presents a ML approach that incorporates bio-ontologies and its application to the SEER-MHOS dataset to dis...
Middle Aged Neoplasms Cohort Studies Data Mining Activities of Daily Living Retrospective Studies Female Aged Aged, 80 and over Male Biological Ontologies Humans Machine Learning
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