AIMC Topic: Aged, 80 and over

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Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.

PloS one Apr 18, 2018
This study evaluates and compares the performance of different machine learning techniques on predicting the individuals at risk of developing hypertension, and who are likely to benefit most from interventions, using the cardiorespiratory fitness da...
Middle Aged Adolescent Hypertension Support Vector Machine Area Under Curve Humans Bayes Theorem Aged Neural Networks, Computer Exercise Test Aged, 80 and over Machine Learning Cardiorespiratory Fitness Young Adult Databases, Factual Adult Female Male
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Assessing patient risk of central line-associated bacteremia via machine learning.

American journal of infection control Apr 13, 2018
BACKGROUND: Central line-associated bloodstream infections (CLABSIs) contribute to increased morbidity, length of hospital stay, and cost. Despite progress in understanding the risk factors, there remains a need to accurately predict the risk of CLAB...
Child Bacteremia Catheterization, Central Venous Catheter-Related Infections Academic Medical Centers Risk Assessment Infant Case-Control Studies Adolescent Child, Preschool Epidemiologic Methods Humans Machine Learning Retrospective Studies Female Infant, Newborn Adult Male Middle Aged Aged Aged, 80 and over Young Adult
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Does Cognitive Impairment and Agitation in Dementia Influence Intervention Effectiveness? Findings From a Cluster-Randomized-Controlled Trial With the Therapeutic Robot, PARO.

Journal of the American Medical Directors Association Apr 13, 2018
OBJECTIVES: To explore whether severity of cognitive impairment and agitation of older people with dementia predict outcomes in engagement, mood states, and agitation after a 10-week intervention with the robotic seal, PARO.
Severity of Illness Index Cognitive Dysfunction Dementia Robotics Linear Models Psychomotor Agitation Humans Female Aged, 80 and over Male Play and Playthings
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Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.

Journal of the American Heart Association Apr 12, 2018
BACKGROUND: Whereas heart failure (HF) is a complex clinical syndrome, conventional approaches to its management have treated it as a singular disease, leading to inadequate patient care and inefficient clinical trials. We hypothesized that applying ...
Angiotensin Receptor Antagonists Angiotensin-Converting Enzyme Inhibitors Aged Cardiovascular Agents Prognosis Aged, 80 and over Adrenergic beta-Antagonists Retrospective Studies Survival Rate Female Male Reproducibility of Results Ventricular Function, Left Sweden Registries Stroke Volume Humans Heart Failure Middle Aged Machine Learning Diuretics Follow-Up Studies Algorithms Phenotype
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An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study.

BMC nephrology Apr 10, 2018
BACKGROUND: Accurately identifying cases of chronic kidney disease (CKD) from primary care data facilitates the management of patients, and is vital for surveillance and research purposes. Ontologies provide a systematic and transparent basis for cli...
Renal Replacement Therapy Female Aged Aged, 80 and over Adult Humans Renal Insufficiency, Chronic Glomerular Filtration Rate Proteinuria United Kingdom Cross-Sectional Studies Biological Ontologies Clinical Coding Male Middle Aged Prevalence Primary Health Care
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Characteristics of Mild Cognitive Impairment Using the Thai Version of the Consortium to Establish a Registry for Alzheimer's Disease Tests: A Multivariate and Machine Learning Study.

Dementia and geriatric cognitive disorders Apr 4, 2018
BACKGROUND: The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) developed a neuropsychological battery (CERAD-NP) to screen patients with Alzheimer's dementia. Mild cognitive impairment (MCI) has received attention as a pre-dementi...
Cross-Sectional Studies Male Middle Aged Thailand Cognitive Dysfunction Machine Learning Female Reproducibility of Results Aged Aged, 80 and over Mental Recall Humans Verbal Behavior Neural Networks, Computer Socioeconomic Factors Support Vector Machine Alzheimer Disease Neuropsychological Tests Translations
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Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets.

IEEE transactions on medical imaging Mar 30, 2018
Acute ischemic stroke is recognized as a common cerebral vascular disease in aging people. Accurate diagnosis and timely treatment can effectively improve the blood supply of the ischemic area and reduce the risk of disability or even death. Understa...
Imaging, Three-Dimensional Stroke Brain Ischemia Diffusion Magnetic Resonance Imaging Female Aged Aged, 80 and over Male Middle Aged Humans Neural Networks, Computer Algorithms Brain
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Early robot-assisted gait retraining in non-ambulatory patients with stroke: a single blind randomized controlled trial.

European journal of physical and rehabilitation medicine Mar 29, 2018
BACKGROUND: Restoration of walking function is a primary concern of neurorehabilitation with respect to the aspired social and vocational reintegration. To date, the best practice for improving gait early after stroke is still object of debate. On on...
Treatment Outcome Recovery of Function Robotics Single-Blind Method Stroke Gait Physical Therapy Modalities Stroke Rehabilitation Aged Aged, 80 and over Adult Male Middle Aged Humans Female
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Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

Academic radiology Mar 28, 2018
RATIONALE AND OBJECTIVES: To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four hea...
Machine Learning Female Aged Aged, 80 and over Adult Cohort Studies Magnetic Resonance Imaging Natural Language Processing Sensitivity and Specificity Male Middle Aged Humans Radiography Lumbar Vertebrae Low Back Pain
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Novel computer algorithm for cough monitoring based on octonions.

Respiratory physiology & neurobiology Mar 27, 2018
The objective assessment of cough frequency is essential for evaluation of cough and antitussive therapies. Nonetheless, available algorithms for automatic detection of cough sound have limited sensitivity and the analysis of cough sound often requir...
Middle Aged Humans Diagnosis, Computer-Assisted Neural Networks, Computer Monitoring, Physiologic Female Cough Acoustics Aged Aged, 80 and over Adult Sensitivity and Specificity Male
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