AIMC Topic: Aged

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Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

Archives of physical medicine and rehabilitation Sep 16, 2020
OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation outcomes for postacute hip fracture patients.
Occupational Therapy Physical Therapy Modalities Disability Evaluation Geriatric Assessment Rehabilitation Centers Subacute Care Hip Fractures Humans Machine Learning Retrospective Studies Female Aged Aged, 80 and over Male Surveys and Questionnaires Treatment Outcome
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Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks.

Clinical journal of the American Society of Nephrology : CJASN Sep 16, 2020
BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow of a kidney biopsy. Deep learning is an effective tool in the elaboration of medical imaging. We wanted to evaluate the role of a convolutional neura...
Complement C1q Immunoglobulin kappa-Chains Immunoglobulin lambda-Chains Biopsy Fibrinogen Aged Immunoglobulins Adult Complement C3 Male Fluorescent Antibody Technique, Direct Middle Aged Image Processing, Computer-Assisted ROC Curve Kidney Humans Kidney Diseases Neural Networks, Computer Area Under Curve Female
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Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study.

Journal of medical Internet research Sep 16, 2020
BACKGROUND: Subtle abnormal motor signs are indications of serious neurological diseases. Although neurological deficits require fast initiation of treatment in a restricted time, it is difficult for nonspecialists to detect and objectively assess th...
Adult Neurologic Examination Biomechanical Phenomena Machine Learning Male Humans Algorithms Middle Aged Female Stroke Aged Aged, 80 and over
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Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients.

The Annals of pharmacotherapy Sep 15, 2020
INTRODUCTION: The Medication Regimen Complexity -Intensive Care Unit (MRC-ICU) is the first tool for measuring medication regimen complexity in critically ill patients. This study tested machine learning (ML) models to investigate the relationship be...
Retrospective Studies Critical Illness Intensive Care Units Female Hospitalization Humans Machine Learning Middle Aged Hospital Mortality Bayes Theorem APACHE Medication Reconciliation Aged Aged, 80 and over Adult Male
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Usefulness of Semisupervised Machine-Learning-Based Phenogrouping to Improve Risk Assessment for Patients Undergoing Transcatheter Aortic Valve Implantation.

The American journal of cardiology Sep 15, 2020
Semisupervised machine-learning methods are able to learn from fewer labeled patient data. We illustrate the potential use of a semisupervised automated machine-learning (AutoML) pipeline for phenotyping patients who underwent transcatheter aortic va...
Humans Male Phenotype Aortic Valve Stenosis Risk Assessment Transcatheter Aortic Valve Replacement Female Machine Learning Severity of Illness Index Aged Cohort Studies Aged, 80 and over Treatment Outcome
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Machine Learning-Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma.

AJR. American journal of roentgenology Sep 15, 2020
This study aimed to explore the performance of machine learning (ML)-based MRI texture analysis in discriminating between well-differentiated (WD) oral squamous cell carcinoma (OSCC) and moderately or poorly differentiated OSCC. The study enrolled ...
Adult Male Middle Aged Magnetic Resonance Imaging Diagnosis, Differential Female Carcinoma, Squamous Cell Aged Young Adult Predictive Value of Tests Neoplasm Grading Mouth Neoplasms Humans Machine Learning Retrospective Studies
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Automatic detection of non-perfusion areas in diabetic macular edema from fundus fluorescein angiography for decision making using deep learning.

Scientific reports Sep 15, 2020
Vision loss caused by diabetic macular edema (DME) can be prevented by early detection and laser photocoagulation. As there is no comprehensive detection technique to recognize NPA, we proposed an automatic detection method of NPA on fundus fluoresce...
Follow-Up Studies Decision Making Fundus Oculi Macular Edema Image Interpretation, Computer-Assisted Fluorescein Angiography Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Prognosis Female Aged Aged, 80 and over Humans Diabetic Retinopathy Neural Networks, Computer Algorithms
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Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.

Journal of medical Internet research Sep 15, 2020
BACKGROUND: Reminiscence is the act of thinking or talking about personal experiences that occurred in the past. It is a central task of old age that is essential for healthy aging, and it serves multiple functions, such as decision-making and intros...
Algorithms Aged Communication Natural Language Processing Humans Memory, Long-Term Machine Learning
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Multifactorial 10-Year Prior Diagnosis Prediction Model of Dementia.

International journal of environmental research and public health Sep 14, 2020
Dementia is a neurodegenerative disorder that affects the older adult population. To date, no cure or treatment to change its course is available. Since changes in the brains of affected individuals could be evidenced as early as 10 years before the ...
Humans Machine Learning Female Risk Factors Aged Male Dementia Life Style Time
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The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.

Alzheimer's & dementia : the journal of the Alzheimer's Association Sep 13, 2020
INTRODUCTION: Relationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were investigated via machine learning in a large harmonized magnetic resonance imaging d...
Cognitive Dysfunction Humans Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging Female Biomarkers Amyloid beta-Peptides Aged Brain White Matter Aged, 80 and over Male Neuropsychological Tests Young Adult Aging Atrophy Adult Middle Aged Cerebral Small Vessel Diseases Disease Progression
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