AIMC Topic: Surveys and Questionnaires
Clear Filters Showing 971 to 980 of 1355 articles
Understanding the importance of key risk factors in predicting chronic bronchitic symptoms using a machine learning approach.
BMC medical research methodology
Mar 29, 2019
BACKGROUND: Chronic respiratory symptoms involving bronchitis, cough and phlegm in children are underappreciated but pose a significant public health burden. Efforts for prevention and management could be supported by an understanding of the relative...
Physician Confidence in Artificial Intelligence: An Online Mobile Survey.
Journal of medical Internet research
Mar 25, 2019
BACKGROUND: It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future.
Machine learning meets partner matching: Predicting the future relationship quality based on personality traits.
PloS one
Mar 21, 2019
To what extent is it possible to use machine learning to predict the outcome of a relationship, based on the personality of both partners? In the present study, relationship satisfaction, conflicts, and separation (intents) of 192 partners four years...
Robot for health data acquisition among older adults: a pilot randomised controlled cross-over trial.
BMJ quality & safety
Mar 20, 2019
BACKGROUND /OBJECTIVES: Healthcare professionals (HCP) are confronted with an increased demand for assessments of important health status measures, such as patient-reported outcome measurements (PROM), and the time this requires. The aim of this stud...
Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners' Views.
Journal of medical Internet research
Mar 20, 2019
BACKGROUND: The potential for machine learning to disrupt the medical profession is the subject of ongoing debate within biomedical informatics and related fields.
Self-Anamnesis with a Conversational User Interface: Concept and Usability Study.
Methods of information in medicine
Mar 15, 2019
OBJECTIVE: Self-anamnesis is a procedure in which a patient answers questions about the personal medical history without interacting directly with a doctor or medical assistant. If collected digitally, the anamnesis data can be shared among the healt...
A survey on what Australians with upper limb difference want in a prosthesis: justification for using soft robotics and additive manufacturing for customized prosthetic hands.
Disability and rehabilitation. Assistive technology
Mar 11, 2019
Upper limb prostheses are part of a rapidly changing market place. Despite development in device design, surveys report low levels of uptake and dissatisfaction with current prosthetic design. In this study, we present the results of a survey conduc...
A survey on literature based discovery approaches in biomedical domain.
Journal of biomedical informatics
Mar 9, 2019
Literature Based Discovery (LBD) refers to the problem of inferring new and interesting knowledge by logically connecting independent fragments of information units through explicit or implicit means. This area of research, which incorporates techniq...
NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.
PloS one
Mar 8, 2019
INTRODUCTION: Using machine learning techniques, we developed a brief questionnaire to aid neurologists and neuropsychologists in the screening of mild cognitive impairment (MCI) and dementia.
Surveys and Questionnaires
Cognitive Dysfunction
Dementia
ROC Curve
Mass Screening
Humans
Sensitivity and Specificity
Geriatric Assessment
Aged
Diagnosis, Differential
Machine Learning
Male
Neuropsychological Tests
Aged, 80 and over
Area Under Curve
Female
Middle Aged
Adult
Diagnosis, Computer-Assisted
Psychological characteristics and stress differentiate between high from low health trajectories in later life: a machine learning analysis.
Aging & mental health
Mar 5, 2019
: This study set out to empirically identify joint health trajectories in individuals of advanced age. Predictors of subgroup allocation were investigated to identify the impact of psychological characteristics, stress, and socio-demographic variable...
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