AIMC Topic: Risk

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XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction.

International journal of environmental research and public health Sep 7, 2020
Smoking-induced noncommunicable diseases (SiNCDs) have become a significant threat to public health and cause of death globally. In the last decade, numerous studies have been proposed using artificial intelligence techniques to predict the risk of d...
Republic of Korea Noncommunicable Diseases Smoking Risk Humans Artificial Intelligence Forecasting
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Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.

Applied clinical informatics Sep 2, 2020
BACKGROUND: Hospital readmissions are a key quality metric, which has been tied to reimbursement. One strategy to reduce readmissions is to direct resources to patients at the highest risk of readmission. This strategy necessitates a robust predictiv...
Time Factors Decision Support Systems, Clinical Patient Readmission Medical Informatics Humans Machine Learning Hospitals Risk
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Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models.

Accident; analysis and prevention Jul 16, 2020
Traditional methods for identifying crash-prone roadways are mainly based on historical crash data. It usually requires more than three years to collect a sufficient amount of dataset for road safety assessment. However, the emerging connected vehicl...
Humans Neural Networks, Computer Technology Data Collection Risk Michigan Reproducibility of Results Deep Learning Automobiles Accidents, Traffic
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Early triage of critically ill COVID-19 patients using deep learning.

Nature communications Jul 15, 2020
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical illness is of major concern. It is imperative to identify these patients early. We show that a deep learning-based survival model can predict the risk o...
Humans Deep Learning Models, Theoretical Triage Coronavirus Infections Survival Analysis Risk Betacoronavirus Pneumonia, Viral Pandemics COVID-19 Prognosis Critical Illness SARS-CoV-2 Hospitalization Middle Aged
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Agents and robots for collaborating and supporting physicians in healthcare scenarios.

Journal of biomedical informatics Jun 27, 2020
Monitoring patients through robotics telehealth systems is an interesting scenario where patients' conditions, and their environment, are dynamic and unknown variables. We propose to improve telehealth systems' features to include the ability to serv...
Pandemics COVID-19 Geriatrics Aged Computer Systems Models, Theoretical Monitoring, Physiologic Pneumonia, Viral Robotics Risk Humans Coronavirus Infections Nursing Homes Artificial Intelligence Telemedicine Emergency Medicine Medical Informatics Infectious Disease Medicine
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Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations.

British journal of cancer Jun 22, 2020
BACKGROUND: The clinical utility of machine-learning (ML) algorithms for breast cancer risk prediction and screening practices is unknown. We compared classification of lifetime breast cancer risk based on ML and the BOADICEA model. We explored the d...
Risk Breast Neoplasms Middle Aged Early Detection of Cancer Humans Machine Learning Retrospective Studies Female Aged Young Adult Adult
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Deep Learning for Improved Risk Prediction in Surgical Outcomes.

Scientific reports Jun 9, 2020
The Norwood surgical procedure restores functional systemic circulation in neonatal patients with single ventricle congenital heart defects, but this complex procedure carries a high mortality rate. In this study we address the need to provide an acc...
Norwood Procedures Monte Carlo Method Decision Making, Organizational Hypoplastic Left Heart Syndrome Infant Deep Learning Humans Length of Stay Neural Networks, Computer Hospital Mortality Models, Statistical Infant, Newborn Heart Ventricles Markov Chains Risk
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Cannabis use is associated with a small increase in the risk of postoperative nausea and vomiting: a retrospective machine-learning causal analysis.

BMC anesthesiology May 18, 2020
BACKGROUND: Cannabis legalization may contribute to an increased frequency of chronic use among patients presenting for surgery. At present, it is unknown whether chronic cannabis use modifies the risk of postoperative nausea and vomiting (PONV).
Cannabis Risk Male Middle Aged Postoperative Nausea and Vomiting Retrospective Studies Humans Female Machine Learning Aged Adult
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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...
Risk Male Machine Learning Actigraphy Monitoring, Physiologic Oximetry Hypersensitivity Algorithms Adenoidectomy Decision Making Humans Sleep Apnea Syndromes Surveys and Questionnaires Polysomnography Tonsillectomy Sleep Apnea, Obstructive Child Female Signal Processing, Computer-Assisted Anthropometry Asthma
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Letter to the editor: Response to Giardiello D, Antoniou AC, Mariani L, Easton DF, Steyerberg EW.

Breast cancer research : BCR Apr 10, 2020
Machine Learning Risk
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