AIMC Topic: Pennsylvania

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Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening for Higher Fecal Immunochemical Test Adoption Among Spanish-Speaking Patients: Retrospective Analysis.

Journal of medical Internet research Jun 25, 2025
BACKGROUND: Colorectal cancer (CRC) screening rates remain disproportionately low among Hispanic and Latino populations compared to non-Hispanic White populations. While artificial intelligence (AI) shows promise in health care delivery, concerns exi...
Language Female Aged Colorectal Neoplasms Humans Artificial Intelligence Retrospective Studies Hispanic or Latino Occult Blood Pennsylvania Multilingualism White Male Middle Aged Early Detection of Cancer Healthcare Disparities
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A Machine Learning Trauma Triage Model for Critical Care Transport.

JAMA network open Jun 2, 2025
IMPORTANCE: Under austere prehospital conditions, rapid classification of injured patients for intervention or transport is essential for providing lifesaving care. Discerning which patients need care most urgently further allows for optimal allocati...
Adult Male Middle Aged Transportation of Patients Humans Emergency Medical Services Machine Learning Triage Retrospective Studies Critical Care Female Wounds and Injuries Pennsylvania
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Artificial intelligence for better goals of care documentation.

BMJ supportive & palliative care Dec 19, 2024
OBJECTIVES: Lower rates of goals of care (GOC) conversations have been observed in non-white hospitalised patients, which may contribute to racial disparities in end-of-life care. We aimed to assess how a targeted initiative to increase GOC documenta...
Aged Aged, 80 and over Male Middle Aged Humans Artificial Intelligence Retrospective Studies Female Terminal Care Documentation Pennsylvania Patient Care Planning
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Using machine learning to classify suicide attempt history among youth in medical care settings.

Journal of affective disorders Feb 28, 2020
BACKGROUND: The current study aimed to classify recent and lifetime suicide attempt history among youth presenting to medical settings using machine learning (ML) as applied to a behavioral health screen self-report survey.
Suicidal Ideation Emergency Service, Hospital Self-Injurious Behavior Pennsylvania Cross-Sectional Studies Male Suicide, Attempted Adolescent Humans Machine Learning Algorithms Female Risk Factors
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Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery.

The Annals of thoracic surgery Nov 7, 2019
BACKGROUND: This study evaluated the predictive utility of a machine learning algorithm in estimating operative mortality risk in cardiac surgery.
Female Pennsylvania Risk Factors Aged Machine Learning Survival Rate Humans Male Algorithms Risk Assessment Prognosis ROC Curve Retrospective Studies Cardiac Surgical Procedures
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Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter.

JAMA network open Nov 1, 2019
IMPORTANCE: Automatic curation of consumer-generated, opioid-related social media big data may enable real-time monitoring of the opioid epidemic in the United States.
Drug Overdose Electronic Data Processing Pennsylvania Social Media Natural Language Processing Opioid-Related Disorders Spatial Analysis Humans Machine Learning Cross-Sectional Studies
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Integrating environmental and neighborhood factors in MaxEnt modeling to predict species distributions: A case study of Aedes albopictus in southeastern Pennsylvania.

PloS one Oct 17, 2019
Aedes albopictus is a viable vector for several infectious diseases such as Zika, West Nile, Dengue viruses and others. Originating from Asia, this invasive species is rapidly expanding into North American temperate areas and urbanized places causing...
Aedes Pennsylvania Population Density Ecosystem ROC Curve Area Under Curve Seasons Machine Learning Temperature Animals
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SuperOrder: Provider order recommendation system for outpatient clinics.

Health informatics journal Jul 3, 2019
This study aims at developing SuperOrder, an order recommendation system for outpatient clinics. Using the electronic health record data available at midnight, SuperOrder predicts the order contents for each upcoming appointment on a daily basis. A t...
Humans Machine Learning Forecasting Retrospective Studies Electronic Health Records Ambulatory Care Facilities Pennsylvania Medical Order Entry Systems
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Identifying health information technology related safety event reports from patient safety event report databases.

Journal of biomedical informatics Sep 10, 2018
OBJECTIVE: The objective of this paper was to identify health information technology (HIT) related events from patient safety event (PSE) report free-text descriptions. A difference-based scoring approach was used to prioritize and select model featu...
Pennsylvania Algorithms Patient Safety Databases, Factual Support Vector Machine Humans Models, Statistical Data Collection Regression Analysis Research Report Area Under Curve Medical Informatics Data Mining Adverse Drug Reaction Reporting Systems
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Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Using electronic health records data to predict events and onset of diseases is increasingly common. Relatively little is known, although, about the tradeoffs between data requirements and model utility.
Data Mining Early Diagnosis Case-Control Studies Pennsylvania Incidence Time Factors ROC Curve Female Humans Logistic Models Risk Factors Machine Learning Predictive Value of Tests Male Prognosis Risk Assessment Area Under Curve Electronic Health Records Heart Failure
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