AIMC Topic: Surveys and Questionnaires
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Age-Related Differences in the Uncanny Valley Effect.
Gerontology
Jun 11, 2020
BACKGROUND: Due to declining birthrates and an increasing aging population, shortage of the caregiving labor force has become a global issue. Among various efforts toward the solution, introducing robotic products for assistance could provide an effe...
Factors influencing acceptance of robotics in hospital pharmacy: a longitudinal study using the Extended Technology Acceptance Model.
The International journal of pharmacy practice
May 19, 2020
OBJECTIVES: To explore factors influencing hospital pharmacy staff acceptance of a pharmacy robotic dispensing system during implementation and over time.
Health Care Employees' Perceptions of the Use of Artificial Intelligence Applications: Survey Study.
Journal of medical Internet research
May 14, 2020
BACKGROUND: The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial...
Predicting polysomnographic severity thresholds in children using machine learning.
Pediatric research
May 9, 2020
BACKGROUND: Approximately 500,000 children undergo tonsillectomy and adenoidectomy (T&A) annually for treatment of obstructive sleep disordered breathing (oSDB). Although polysomnography is beneficial for preoperative risk stratification in these chi...
Adenoidectomy
Female
Asthma
Actigraphy
Hypersensitivity
Male
Decision Making
Humans
Child
Polysomnography
Surveys and Questionnaires
Machine Learning
Tonsillectomy
Sleep Apnea Syndromes
Monitoring, Physiologic
Oximetry
Algorithms
Signal Processing, Computer-Assisted
Sleep Apnea, Obstructive
Anthropometry
Risk
Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning.
Ergonomics
May 7, 2020
This study attempted to multimodally measure mental workload and validate indicators for estimating mental workload. A simulated computer work composed of mental arithmetic tasks with different levels of difficulty was designed and used in the experi...
Applying machine learning methods to develop a successful aging maintenance prediction model based on physical fitness tests.
Geriatrics & gerontology international
May 1, 2020
AIM: The purpose of this study was to develop a machine learning prediction model for successful aging (SA) based on physical fitness tests.
Independent Living
Healthy Aging
Decision Trees
Predictive Value of Tests
Male
Geriatric Assessment
Female
Aging
Physical Fitness
Aged
Humans
Middle Aged
Aged, 80 and over
Machine Learning
Exercise
Sensitivity and Specificity
ROC Curve
China
Logistic Models
Surveys and Questionnaires
Follow-Up Studies
Artificial intelligence: radiologists' expectations and opinions gleaned from a nationwide online survey.
La Radiologia medica
Apr 29, 2020
PURPOSE: To report the results of a nationwide online survey on artificial intelligence (AI) among radiologist members of the Italian Society of Medical and Interventional Radiology (SIRM).
Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.
International journal of medical informatics
Apr 25, 2020
INTRODUCTION: School violence has a far-reaching effect, impacting the entire school population including staff, students and their families. Among youth attending the most violent schools, studies have reported higher dropout rates, poor school atte...
Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys.
PloS one
Apr 22, 2020
Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the sampling mechanism commonly used, whereby participants self-select from a subgroup whose cha...
Machine Learning Based Suicide Ideation Prediction for Military Personnel.
IEEE journal of biomedical and health informatics
Apr 20, 2020
Military personnel have greater psychological stress and are at higher suicide attempt risk compared with the general population. High mental stress may cause suicide ideations which are crucially driving suicide attempts. However, traditional statis...
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