AIMC Topic: Aged, 80 and over
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Humanoid robots in the care of older persons: A scoping review.
Assistive technology : the official journal of RESNA
Mar 5, 2021
The aim was to examine how humanoid robots have been used in the care of older persons and identify possible benefits and challenges associated with such use from older persons' points of view. The study was a scoping review based on Arksey and O'Mal...
Individualized prediction of COVID-19 adverse outcomes with MLHO.
Scientific reports
Mar 5, 2021
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates of adverse outcomes from COVID-19 could have led to better allocation of healthcare resources and more efficient targeted preventive measures, includi...
Data Mining
Respiration, Artificial
ROC Curve
Age Factors
Models, Statistical
Humans
Machine Learning
SARS-CoV-2
Risk Factors
Hospitalization
Aged
Male
Middle Aged
Risk Assessment
Aged, 80 and over
Adult
Intensive Care Units
Electronic Health Records
Female
Reproducibility of Results
Pandemics
COVID-19
Prognosis
Retrospective Studies
Epidemiological Surveillance of the Impact of the COVID-19 Pandemic on Stroke Care Using Artificial Intelligence.
Stroke
Mar 4, 2021
BACKGROUND AND PURPOSE: The degree to which the coronavirus disease 2019 (COVID-19) pandemic has affected systems of care, in particular, those for time-sensitive conditions such as stroke, remains poorly quantified. We sought to evaluate the impact ...
Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study.
PloS one
Mar 4, 2021
BACKGROUND: Osteoporosis has increased and developed into a serious public health concern worldwide. Despite the high prevalence, osteoporosis is silent before major fragility fracture and the osteoporosis screening rate is low. Abdomen-pelvic CT (AP...
Effect of the Information Support Robot on the Daily Activity of Older People Living Alone in Actual Living Environment.
International journal of environmental research and public health
Mar 3, 2021
Information support robots (ISRs) have the potential to assist older people living alone to have an independent life. However, the effects of ISRs on the daily activity, especially the sleep patterns, of older people have not been clarified; moreover...
Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework.
Scientific reports
Mar 1, 2021
Our purpose in this study is to evaluate the clinical feasibility of deep-learning techniques for F-18 florbetaben (FBB) positron emission tomography (PET) image reconstruction using data acquired in a short time. We reconstructed raw FBB PET data of...
Investigating the relationship between the SNCA gene and cognitive abilities in idiopathic Parkinson's disease using machine learning.
Scientific reports
Mar 1, 2021
Cognitive impairments are prevalent in Parkinson's disease (PD), but the underlying mechanisms of their development are unknown. In this study, we aimed to predict global cognition (GC) in PD with machine learning (ML) using structural neuroimaging, ...
Machine learning and bioinformatic analysis of brain and blood mRNA profiles in major depressive disorder: A case-control study.
American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics
Mar 1, 2021
This study analyzed gene expression messenger RNA data, from cases with major depressive disorder (MDD) and controls, using supervised machine learning (ML). We built on the methodology of prior studies to obtain more generalizable/reproducible resul...
Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer.
Korean journal of radiology
Feb 25, 2021
OBJECTIVE: To compare the performance of the deep learning-based lesion detection algorithm (DLLD) in detecting liver metastasis with that of radiologists.
Machine learning based predictors for COVID-19 disease severity.
Scientific reports
Feb 25, 2021
Predictors of the need for intensive care and mechanical ventilation can help healthcare systems in planning for surge capacity for COVID-19. We used socio-demographic data, clinical data, and blood panel profile data at the time of initial presentat...
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