AIMC Topic: California
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Identifying Elective Induction of Labor among a Diverse Pregnant Population from Electronic Health Records within a Large Integrated Health Care System.
American journal of perinatology
Aug 29, 2024
OBJECTIVE:  Distinguishing between medically indicated induction of labor (iIOL) and elective induction of labor (eIOL) is a daunting process for researchers. We aimed to develop a Natural Language Processing (NLP) algorithm to identify eIOLs from el...
Machine learning for environmental justice: Dissecting an algorithmic approach to predict drinking water quality in California.
The Science of the total environment
Aug 24, 2024
The potential for machine learning to answer questions of environmental science, monitoring, and regulatory enforcement is evident, but there is cause for concern regarding potential embedded bias: algorithms can codify discrimination and exacerbate ...
Metabolic dysfunctions predict the development of Alzheimer's disease: Statistical and machine learning analysis of EMR data.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Aug 14, 2024
INTRODUCTION: The incidence of Alzheimer's disease (AD) and obesity rise concomitantly. This study examined whether factors affecting metabolism, race/ethnicity, and sex are associated with AD development.
Seismic hazard analysis and financial impact assessment of railway infrastructure in the US West Coast: A machine learning approach.
PloS one
Aug 12, 2024
This research examines the seismic hazard impact on railway infrastructure along the U.S. West Coast (Washington, Oregon and California), using machine learning to explore how measures of seismic hazard such as fault density, earthquake frequency, an...
A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets.
PLoS computational biology
Dec 3, 2021
Machine learning algorithms, including recent advances in deep learning, are promising for tools for detection and classification of broadband high frequency signals in passive acoustic recordings. However, these methods are generally data-hungry and...
A novel random forest approach to revealing interactions and controls on chlorophyll concentration and bacterial communities during coastal phytoplankton blooms.
Scientific reports
Oct 7, 2021
Increasing occurrence of harmful algal blooms across the land-water interface poses significant risks to coastal ecosystem structure and human health. Defining significant drivers and their interactive impacts on blooms allows for more effective anal...
Cost-effectiveness of artificial intelligence monitoring for active tuberculosis treatment: A modeling study.
PloS one
Jul 21, 2021
BACKGROUND: Tuberculosis (TB) incidence in Los Angeles County, California, USA (5.7 per 100,000) is significantly higher than the U.S. national average (2.9 per 100,000). Directly observed therapy (DOT) is the preferred strategy for active TB treatme...
Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.
Journal of vascular surgery
Jun 25, 2021
OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing caroti...
Humans
Retrospective Studies
Cross-Sectional Studies
Asymptomatic Diseases
Severity of Illness Index
Computed Tomography Angiography
Hemodynamics
California
Carotid Stenosis
International Classification of Diseases
Predictive Value of Tests
Comparative Effectiveness Research
Magnetic Resonance Angiography
Natural Language Processing
Medical Records
Data Mining
Ultrasonography, Doppler
Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development.
Journal of medical Internet research
Dec 16, 2020
BACKGROUND: Assigning meaningful probabilities of SARS-CoV-2 infection risk presents a diagnostic challenge across the continuum of care.
A comparison of two remotely operated vehicle (ROV) survey methods used to estimate fish assemblages and densities around a California oil platform.
PloS one
Nov 10, 2020
Offshore oil and gas platforms have a finite life of production operations. Once production ceases, decommissioning options for the platform are assessed. The role that a platform's jacket plays as fish habitat can inform the decommissioning decision...
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