AIMC Topic: Risk Assessment

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[Artificial intelligence: a benefit for patients?].

Soins; la revue de reference infirmiere Sep 1, 2019
While artificial intelligence (AI) may have raised concerns, these questions are now making way for in-depth discussions on how to take advantage of its potential to ensure advances for patients. From this point of view, AI can constitute a real leve...
Humans Artificial Intelligence Risk Assessment Physician-Patient Relations
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Use of Artificial Intelligence to Represent Emergent Systems and Augment Surgical Decision-making.

JAMA surgery Sep 1, 2019
Clinical Decision-Making Female Male Humans Artificial Intelligence Intensive Care Units Patient Selection Risk Assessment Surgical Procedures, Operative Emergencies Surgery Department, Hospital United States
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Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.

Studies in health technology and informatics Aug 21, 2019
Falls are the leading cause of injuries among older adults, particularly in the more vulnerable home health care (HHC) population. Existing standardized fall risk assessments often require supplemental data collection and tend to have low specificity...
Missouri Humans Machine Learning Risk Factors Risk Assessment Accidental Falls Home Care Services
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Text Classification to Inform Suicide Risk Assessment in Electronic Health Records.

Studies in health technology and informatics Aug 21, 2019
Assessing a patient's risk of an impending suicide attempt has been hampered by limited information about dynamic factors that change rapidly in the days leading up to an attempt. The storage of patient data in electronic health records (EHRs) has fa...
Research Design Electronic Health Records Mental Health Humans Machine Learning Risk Assessment Suicide Prevention
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Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP.

Prevention science : the official journal of the Society for Prevention Research Aug 1, 2019
"Just-in-time" interventions (JITs) delivered via smartphones have considerable potential for reducing HIV risk behavior by providing pivotal support at key times prior to sex. However, these programs depend on a thorough understanding of when risk b...
Machine Learning Adult Male Humans Homosexuality, Male Surveys and Questionnaires Middle Aged Unsafe Sex HIV Infections Smartphone Risk Assessment
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Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement.

JACC. Cardiovascular interventions Jul 22, 2019
OBJECTIVES: This study sought to develop and compare an array of machine learning methods to predict in-hospital mortality after transcatheter aortic valve replacement (TAVR) in the United States.
Clinical Decision-Making Female Risk Factors Aged Aged, 80 and over Machine Learning Male Treatment Outcome Decision Support Techniques Predictive Value of Tests Risk Assessment Humans Databases, Factual Transcatheter Aortic Valve Replacement Hospital Mortality United States
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Hybrid Neural Networks for Mortality Prediction from LDCT Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Known for its high morbidity and mortality rates, lung cancer poses a significant threat to human health and well-being. However, the same population is also at high risk for other deadly diseases, such as cardiovascular disease. Since Low-Dose CT (L...
Lung Neoplasms Coronary Artery Disease Thorax Tomography, X-Ray Computed Risk Assessment Deep Learning Humans Neural Networks, Computer
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Bed-Exit Prediction Applying Neural Network Combining Bed Position Detection and Patient Posture Estimation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The work of a nurse involves tasks that can lead to serious accidents with a single mistake or miss, and thus nurses are exposed to high stress. In particular, injections, pre-medications, tube connections, and falling are factors that lead to seriou...
Activities of Daily Living Movement Beds Risk Assessment Accidental Falls Posture Humans Neural Networks, Computer Aged
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Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Chronicity is a problem that is affecting quality of life and increasing healthcare costs worldwide. Predictive tools can help mitigate these effects by encouraging the patients' and healthcare system's proactivity. This research work uses supervised...
Data Collection Humans Prognosis Machine Learning Risk Assessment Quality of Life Forecasting
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Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits.

Medical care Jul 1, 2019
BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility o...
Risk Assessment Accidental Falls Emergency Service, Hospital Aged Male Humans Machine Learning Algorithms Retrospective Studies Electronic Health Records Female
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