AIMC Topic: Aged, 80 and over
Clear Filters Showing 1711 to 1720 of 3475 articles
Quality of Care Perceived by Older Patients and Caregivers in Integrated Care Pathways With Interviewing Assistance From a Social Robot: Noninferiority Randomized Controlled Trial.
Journal of medical Internet research
Sep 9, 2020
BACKGROUND: Society is facing a global shortage of 17 million health care workers, along with increasing health care demands from a growing number of older adults. Social robots are being considered as solutions to part of this problem.
Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites.
BMC medical informatics and decision making
Sep 7, 2020
BACKGROUND: Automated systems that use machine learning to estimate a patient's risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpopulations especially for imple...
Machine-Learning Analysis of Voice Samples Recorded through Smartphones: The Combined Effect of Ageing and Gender.
Sensors (Basel, Switzerland)
Sep 4, 2020
BACKGROUND: Experimental studies using qualitative or quantitative analysis have demonstrated that the human voice progressively worsens with ageing. These studies, however, have mostly focused on specific voice features without examining their dynam...
The Probability of Ischaemic Stroke Prediction with a Multi-Neural-Network Model.
Sensors (Basel, Switzerland)
Sep 3, 2020
As is known, cerebral stroke has become one of the main diseases endangering people's health; ischaemic strokes accounts for approximately 85% of cerebral strokes. According to research, early prediction and prevention can effectively reduce the inci...
Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.
Archives of cardiovascular diseases
Sep 2, 2020
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despite specific therapies.
Humans
Machine Learning
Phenotype
Prospective Studies
Health Status
Aged, 80 and over
Prognosis
Cluster Analysis
Male
Lung Diseases, Interstitial
Female
Kidney Diseases
Middle Aged
Data Mining
Risk Factors
Registries
Risk Assessment
Heart Diseases
Comorbidity
Aged
France
Pulmonary Arterial Hypertension
Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study.
Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
Sep 1, 2020
PURPOSE: The purpose of the reported study was to investigate the value of cone-beam computed tomography (CBCT)-based radiomics for risk stratification and prediction of biochemical relapse in prostate cancer.
Male
Middle Aged
ROC Curve
Cone-Beam Computed Tomography
Neoplasm Staging
Computational Biology
Image Processing, Computer-Assisted
Prostate-Specific Antigen
Humans
Neoplasm Grading
Logistic Models
Machine Learning
Radiotherapy Planning, Computer-Assisted
Adenocarcinoma
Aged
Radiotherapy, Intensity-Modulated
Area Under Curve
Aged, 80 and over
Prostatic Neoplasms
Pain phenotypes classified by machine learning using electroencephalography features.
NeuroImage
Aug 29, 2020
Pain is a multidimensional experience mediated by distributed neural networks in the brain. To study this phenomenon, EEGs were collected from 20 subjects with chronic lumbar radiculopathy, 20 age and gender matched healthy subjects, and 17 subjects ...
A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer.
BMC cancer
Aug 28, 2020
BACKGROUND: Cell-free DNA's (cfDNA) use as a biomarker in cancer is challenging due to genetic heterogeneity of malignancies and rarity of tumor-derived molecules. Here we describe and demonstrate a novel machine-learning guided panel design strategy...
Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning.
Sensors (Basel, Switzerland)
Aug 27, 2020
Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site during daily dialysis treatment. Consequently, minute changes over time cannot be recorded based only on subjective observations. In this study, we s...
Microbial contamination and efficacy of disinfection procedures of companion robots in care homes.
PloS one
Aug 26, 2020
BACKGROUND: Paro and other robot animals can improve wellbeing for older adults and people with dementia, through reducing depression, agitation and medication use. However, nursing and care staff we contacted expressed infection control concerns. Li...
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