AIMC Topic: Risk Assessment

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Spatiotemporal analysis of airborne pollutants and health risks in Mashhad metropolis: enhanced insights through sensitivity analysis and machine learning.

Environmental geochemistry and health Dec 26, 2024
The study delved into an extensive assessment of outdoor air pollutant levels, focusing specifically on PM, SO, NO, and CO, across the Mashhad metropolis from 2017 to 2021. In tandem, it explored their intricate correlations with meteorological condi...
Particulate Matter Environmental Exposure Carbon Monoxide Nitrogen Dioxide Sulfur Dioxide Cities Environmental Monitoring Air Pollutants Air Pollution Humans Machine Learning Risk Assessment Spatio-Temporal Analysis
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Machine Learning Model for Risk Prediction of Prolonged Intensive Care Unit in Patients Receiving Intra-aortic Balloon Pump Therapy during Coronary Artery Bypass Graft Surgery.

Journal of cardiovascular translational research Dec 24, 2024
This study aimed to construct machine learning models and predict prolonged intensive care units (ICU) stay in patients receiving perioperative intra-aortic balloon pump (IABP) therapy during cardiac surgery. 236 patients were divided into the normal...
Machine Learning Decision Support Techniques Retrospective Studies Humans Aged Male Middle Aged Risk Assessment Intensive Care Units Female Reproducibility of Results Risk Factors Length of Stay Time Factors Treatment Outcome Predictive Value of Tests Coronary Artery Bypass Intra-Aortic Balloon Pumping
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Assessing the impact of car-following driving style on traffic conflict risk using asymmetric behavior model and explainable machine learning.

Accident; analysis and prevention Dec 24, 2024
To deepen the understanding of the impact of car-following driving style (CFDS) on traffic conflict risk and address the lack of clear CFDS evaluation metrics, this study proposes an improved CFDS metric based on the Asymmetric Behavior (AB) theory. ...
Risk Assessment Automobiles Accidents, Traffic Automobile Driving Aggression Risk-Taking Humans Machine Learning
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Screening prediction models using artificial intelligence for moderate-to-severe obstructive sleep apnea in patients with acute ischemic stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Dec 24, 2024
BACKGROUND: Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA with polysomnography (PSG) is often unfeasible in clinical practice, primarily because of how limited resources are and the physical condition of patien...
Middle Aged Risk Assessment Severity of Illness Index Predictive Value of Tests Female Risk Factors Aged Artificial Intelligence Male Machine Learning Decision Support Techniques Humans Ischemic Stroke Sleep Apnea, Obstructive Sleep Polysomnography
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Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning.

Ecotoxicology and environmental safety Dec 24, 2024
Machine learning exhibits excellent performance in terms of predictive power. We aimed to construct an interpretable machine learning model utilizing National Health and Nutrition Examination Survey data to investigate the relationship between heavy ...
Environmental Exposure Metals, Heavy Cardiovascular Diseases Middle Aged Risk Assessment Environmental Pollutants Humans Machine Learning Female Adult Male
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Trajectory of breastfeeding among Chinese women and risk prediction models based on machine learning: a cohort study.

BMC pregnancy and childbirth Dec 24, 2024
BACKGROUND: Breastfeeding is the optimal source of nutrition for infants and young children, essential for their healthy growth and development. However, a gap in cohort studies tracking breastfeeding up to six months postpartum may lead caregivers t...
Humans Machine Learning Prospective Studies Surveys and Questionnaires Cohort Studies East Asian People Breast Feeding Postpartum Period Adult Risk Assessment Infant China Pregnancy Female Infant, Newborn Young Adult
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Geochemical evolution, geostatistical mapping and machine learning predictive modeling of groundwater fluoride: a case study of western Balochistan, Quetta.

Environmental geochemistry and health Dec 24, 2024
Around 2.6 billion people are at risk of tooth carries and fluorosis worldwide. Quetta is the worst affected district in Balochistan plateau. Endemic abnormal groundwater fluoride ( ) lacks spatiotemporal studies. This research integrates geospatial...
Pakistan Fluorides Drinking Water Fluorosis, Dental Child Groundwater Environmental Monitoring Water Pollutants, Chemical Humans Machine Learning Risk Assessment
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A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort.

BMC pregnancy and childbirth Dec 24, 2024
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after pregnancy. Because of its diverse clinical presentation, preeclampsia is an adverse pregnancy outcome that is uniquely challenging to predict and mana...
Severity of Illness Index Cohort Studies Pregnancy Trimester, First Pre-Eclampsia Pregnancy Trimester, Second Parity Risk Factors Adult Risk Assessment Placenta Growth Factor Humans Biomarkers Pregnancy Female Machine Learning Prospective Studies
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Longitudinal interpretability of deep learning based breast cancer risk prediction.

Physics in medicine and biology Dec 24, 2024
Deep-learning-based models have achieved state-of-the-art breast cancer risk (BCR) prediction performance. However, these models are highly complex, and the underlying mechanisms of BCR prediction are not fully understood. Key questions include wheth...
Middle Aged Risk Assessment Deep Learning Longitudinal Studies Mammography Humans Female Breast Neoplasms
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Machine Learning-Driven Identification of Distinct Persistent Atrial Fibrillation Phenotypes: A Cluster Analysis of DECAAF II.

Journal of cardiovascular electrophysiology Dec 23, 2024
INTRODUCTION: Catheter ablation of persistent atrial fibrillation yields sub-optimal success rates partly due to the considerable heterogeneity within the patient population. Identifying distinct patient phenotypes based on post-ablation prognosis co...
Female Reproducibility of Results Risk Factors Aged Male Humans Machine Learning Decision Support Techniques Phenotype Cluster Analysis Heart Rate Action Potentials Catheter Ablation Predictive Value of Tests Recurrence Atrial Fibrillation Middle Aged Risk Assessment Time Factors Treatment Outcome
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