AIMC Topic: Risk Assessment

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Human health risk identification of petrochemical sites based on extreme gradient boosting.

Ecotoxicology and environmental safety Feb 23, 2022
Petrochemical industry is a key industry of soil pollution, which presents great effects on human health and the ecological environment. It is of great significance to achieve rapid, economic and efficient health risk identification for petrochemical...
Soil Risk Assessment Support Vector Machine Humans Neural Networks, Computer Algorithms
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Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.

BMJ (Clinical research ed.) Feb 17, 2022
OBJECTIVE: To create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with covid-19 across institutions, through use of a novel paradigm for mode...
Young Adult Adult Male Middle Aged SARS-CoV-2 Hospitalization Aged Aged, 80 and over Predictive Value of Tests Area Under Curve Linear Models Clinical Deterioration Risk Assessment Hospitals Adolescent ROC Curve Humans Machine Learning COVID-19 Prognosis Retrospective Studies Electronic Health Records Female Clinical Decision Rules
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Stability Risk Assessment of Underground Rock Pillars Using Logistic Model Trees.

International journal of environmental research and public health Feb 14, 2022
Pillars are important structural elements that provide temporary or permanent support in underground spaces. Unstable pillars can result in rock sloughing leading to roof collapse, and they can also cause rock burst. Hence, the prediction of undergro...
Compressive Strength Machine Learning Risk Assessment Logistic Models Coal
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Machine learning-aided risk prediction for metabolic syndrome based on 3 years study.

Scientific reports Feb 10, 2022
Metabolic syndrome (MetS) is a group of physiological states of metabolic disorders, which may increase the risk of diabetes, cardiovascular and other diseases. Therefore, it is of great significance to predict the onset of MetS and the corresponding...
Middle Aged Female Models, Statistical Humans Physical Examination Risk Factors Machine Learning Adult Male Risk Assessment Longitudinal Studies Metabolic Syndrome
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Beyond the : Validation of an Artificial Intelligence Breast Cancer Risk Assessment Model Across Diverse International Cohorts.

AJR. American journal of roentgenology Feb 2, 2022
Female Breast Neoplasms Risk Assessment Mammography Humans Heart Rate Artificial Intelligence
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Dynamic Bayesian networks for prediction of health status and treatment effect in patients with chronic lymphocytic leukemia.

Scientific reports Feb 2, 2022
Chronic lymphocytic leukemia (CLL) is the most common blood cancer in adults. The course of CLL and patients' response to treatment are varied. This variability makes it difficult to select the most appropriate treatment regimen and predict the progr...
Aged Leukemia, Lymphocytic, Chronic, B-Cell Male Middle Aged Health Status Risk Assessment Humans Decision Support Techniques Predictive Value of Tests Disease Progression Artificial Intelligence Clinical Decision-Making Bayes Theorem Time Factors Female Treatment Outcome Health Status Indicators Risk Factors
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Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.

Circulation. Arrhythmia and electrophysiology Jan 28, 2022
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response is challenging to predict. Clinical trials identify bedside properties that provide only modest prediction of long-term response in populations, while ...
Models, Cardiovascular Action Potentials Patient-Specific Modeling Electrocardiography, Ambulatory Atrial Remodeling Fibrosis Heart Rate Risk Assessment Atrial Fibrillation Humans Time Factors Catheter Ablation Machine Learning Treatment Outcome Recurrence Risk Factors Magnetic Resonance Imaging Atrial Function, Left
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Anemia or other comorbidities? using machine learning to reveal deeper insights into the drivers of acute coronary syndromes in hospital admitted patients.

PloS one Jan 24, 2022
Acute coronary syndromes (ACS) are a leading cause of deaths worldwide, yet the diagnosis and treatment of this group of diseases represent a significant challenge for clinicians. The epidemiology of ACS is extremely complex and the relationship betw...
Hospital Mortality Registries Anemia Acute Coronary Syndrome Patient Admission Models, Cardiovascular Middle East Humans Male Middle Aged Risk Assessment Comorbidity Machine Learning Female Aged
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Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm.

European radiology Jan 23, 2022
OBJECTIVE: To distinguish benign from malignant cystic renal lesions (CRL) using a contrast-enhanced CT-based radiomics model and a clinical decision algorithm.
Humans Risk Assessment Adolescent Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed
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Palliative Care Exposure Relative to Predicted Risk of Six-Month Mortality in Hospitalized Adults.

Journal of pain and symptom management Jan 23, 2022
CONTEXT: The optimal strategy for implementing mortality-predicting algorithms to facilitate clinical care, prognostic discussions, and palliative care interventions remains unknown.
Humans Machine Learning Retrospective Studies Risk Assessment Female Cohort Studies Hospitalization Palliative Care Adult Male Middle Aged
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