AIMC Topic: California

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Assessment of Facial Morphologic Features in Patients With Congenital Adrenal Hyperplasia Using Deep Learning.

JAMA network open Nov 2, 2020
IMPORTANCE: Congenital adrenal hyperplasia (CAH) is the most common primary adrenal insufficiency in children, involving excess androgens secondary to disrupted steroidogenesis as early as the seventh gestational week of life. Although structural bra...
Cross-Sectional Studies Male Deep Learning Adolescent Female Young Adult Adult Age Factors Face California Adrenal Hyperplasia, Congenital Child, Preschool Child Image Processing, Computer-Assisted Longitudinal Studies Humans
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Ensemble-based deep learning for estimating PM over California with multisource big data including wildfire smoke.

Environment international Sep 24, 2020
INTRODUCTION: Estimating PM concentrations and their prediction uncertainties at a high spatiotemporal resolution is important for air pollution health effect studies. This is particularly challenging for California, which has high variability in nat...
Environmental Monitoring Air Pollutants Air Pollution Particulate Matter Wildfires California Smoke Deep Learning Big Data
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A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers.

Accident; analysis and prevention Feb 14, 2020
Run-off-road (ROR) crashes have always been a major concern as this type of crash is usually associated with a considerable number of serious injury and fatal crashes. A substantial portion of ROR fatalities occur in collisions with fixed objects at ...
Neural Networks, Computer Algorithms Databases, Factual Female Humans California Aged Wounds and Injuries Male Accidents, Traffic
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The use of natural language processing to identify vaccine-related anaphylaxis at five health care systems in the Vaccine Safety Datalink.

Pharmacoepidemiology and drug safety Dec 3, 2019
PURPOSE: The objective was to develop a natural language processing (NLP) algorithm to identify vaccine-related anaphylaxis from plain-text clinical notes, and to implement the algorithm at five health care systems in the Vaccine Safety Datalink.
Delivery of Health Care Databases, Factual Electronic Health Records Natural Language Processing Vaccines California Anaphylaxis Humans
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Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study.

BMJ open Dec 2, 2019
INTRODUCTION: About 42 million surgeries are performed annually in the USA. While the postoperative mortality is less than 2%, 12% of all patients in the high-risk surgery group account for 80% of postoperative deaths. New onset of haemodynamic insta...
Retrospective Studies Intensive Care Units Electronic Health Records Postoperative Complications Humans Machine Learning Research Design Hemodynamics Decision Support Systems, Clinical California
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An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data.

British journal of anaesthesia Oct 15, 2019
BACKGROUND: Rapid, preoperative identification of patients with the highest risk for medical complications is necessary to ensure that limited infrastructure and human resources are directed towards those most likely to benefit. Existing risk scores ...
Middle Aged Risk Assessment Postoperative Complications Comorbidity Adolescent Hospital Mortality Health Status California Aged, 80 and over Young Adult Adult Male Female Humans Risk Factors Machine Learning Aged Electronic Health Records Preoperative Period
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Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data: Implications for Temporal Modeling With Respect to Time Before Diagnosis, Data Density, Data Quantity, and Data Type.

Circulation. Cardiovascular quality and outcomes Oct 15, 2019
BACKGROUND: We determined the impact of data volume and diversity and training conditions on recurrent neural network methods compared with traditional machine learning methods.
Alcohol Drinking California Vital Signs Heart Failure Early Diagnosis Smoking Risk Factors Machine Learning Humans Time Factors Male Electronic Health Records Neural Networks, Computer Primary Health Care Diagnosis, Computer-Assisted Female Longitudinal Studies Incidence Reproducibility of Results Predictive Value of Tests
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Understanding mixed environmental exposures using metabolomics via a hierarchical community network model in a cohort of California women in 1960's.

Reproductive toxicology (Elmsford, N.Y.) Jul 9, 2019
Even though the majority of population studies in environmental health focus on a single factor, environmental exposure in the real world is a mixture of many chemicals. The concept of "exposome" leads to an intellectual framework of measuring many e...
Humans Neural Networks, Computer Female Exposome Cohort Studies Metabolomics Metabolome California
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Machine learning models accurately predict ozone exposure during wildfire events.

Environmental pollution (Barking, Essex : 1987) Jul 5, 2019
Epidemiologists use prediction models to downscale (i.e., interpolate) air pollution exposure where monitoring data is insufficient. This study compares machine learning prediction models for ground-level ozone during wildfires, evaluating the predic...
California Machine Learning Air Pollution Ozone Algorithms Wildfires Reproducibility of Results Environmental Monitoring Air Pollutants
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Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions.

Environment international May 8, 2019
BACKGROUND: Accurate estimation of nitrogen dioxide (NO) and nitrogen oxide (NO) concentrations at high spatiotemporal resolutions is crucial for improving evaluation of their health effects, particularly with respect to short-term exposures and acut...
Nitrogen Oxides Nitrogen Dioxide Cluster Analysis Machine Learning Air Pollutants Models, Theoretical Air Pollution Environmental Monitoring California
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