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The infant health effects of doulas: Leveraging big data and machine learning to inform cost-effective targeting

Health economics, 2024-06, Vol.33 (6), p.1387-1411

2024

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Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods

Health economics, 2023-01, Vol.32 (1), p.194-217

2023

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Building siamese attention-augmented recurrent convolutional neural networks for document similarity scoring

Information sciences, 2022-11, Vol.615, p.90-102

2022

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Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing

Journal of biomedical informatics, 2022-03, Vol.127, p.103984-103984, Article 103984

2022

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Reducing the environmental impact of mask inductions in children: A quality improvement report

Pediatric anesthesia, 2023-09, Vol.33 (9), p.728-735

2023

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Comparison of machine learning classifiers for influenza detection from emergency department free-text reports

Journal of biomedical informatics, 2015-12, Vol.58, p.60-69

2015

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Prediction of Return of Spontaneous Circulation in a Pediatric Swine Model of Cardiac Arrest Using Low-Resolution Multimodal Physiological Waveforms

IEEE journal of biomedical and health informatics, 2023-10, Vol.27 (10), p.1-9

2023

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Extracting social determinants of health events with transformer-based multitask, multilabel named entity recognition

Journal of the American Medical Informatics Association : JAMIA, 2023-07, Vol.30 (8), p.1379-1388

2023

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The Risk of Aircraft-Acquired SARS-CoV-2 Transmission during Commercial Flights: A Systematic Review

International journal of environmental research and public health, 2024-05, Vol.21 (6), p.654

2024

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Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers

Journal of the American Medical Informatics Association : JAMIA, 2014-09, Vol.21 (5), p.815-823

2014

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Predictive Validity of the K-CAT-SS in High-Risk Adolescents and Young Adults

Journal of the American Academy of Child and Adolescent Psychiatry, 2024-05

2024

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Automated Matchmaking of Researcher Biosketches and Funder Requests for Proposals Using Deep Neural Networks

IEEE access, 2024, Vol.12, p.98096-98106

2024

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Early prediction of critical events for infants with single-ventricle physiology in critical care using routinely collected data

The Journal of thoracic and cardiovascular surgery, 2019-07, Vol.158 (1), p.234-243.e3

2019

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Early prediction of clinical deterioration using data-driven machine-learning modeling of electronic health records

The Journal of thoracic and cardiovascular surgery, 2022-07, Vol.164 (1), p.211-222.e3

2022

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PaTH: towards a learning health system in the Mid-Atlantic region

Journal of the American Medical Informatics Association : JAMIA, 2014-07, Vol.21 (4), p.633-636

2014

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Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts

JAMIA open, 2021-01, Vol.4 (1), p.ooab011-ooab011

2021

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Predicting pediatric emergence delirium using data-driven machine learning applied to electronic health record dataset at a quaternary care pediatric hospital

JAMIA open, 2023-12, Vol.6 (4), p.ooad106-ooad106

2023

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A Bayesian approach for detecting a disease that is not being modeled

PloS one, 2020-02, Vol.15 (2), p.e0229658

2020

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Comparing different wavelet transforms on removing electrocardiogram baseline wanders and special trends

BMC medical informatics and decision making, 2020-12, Vol.20 (Suppl 11), p.343-343, Article 343

2020

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Predictive modeling for classification of positive valence system symptom severity from initial psychiatric evaluation records

Journal of biomedical informatics, 2017-11, Vol.75, p.S94-S104

2017

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Addressing Health-Related Social Needs and Mental Health Needs in the Neonatal Intensive Care Unit: Exploring Challenges and the Potential of Technology

International journal of environmental research and public health, 2023-12, Vol.20 (24), p.7161

2023

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An argument for reporting data standardization procedures in multi-site predictive modeling: case study on the impact of LOINC standardization on model performance

JAMIA open, 2019-04, Vol.2 (1), p.197-204

2019

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An analytics appliance for identifying (near) optimal over-the-counter medicine products as health indicators for influenza surveillance

Information systems (Oxford), 2015-03, Vol.48, p.151-163

2015

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A study of the transferability of influenza case detection systems between two large healthcare systems

PloS one, 2017-04, Vol.12 (4), p.e0174970-e0174970

2017

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The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance

Applied clinical informatics, 2017-05, Vol.8 (2), p.560-580

2017

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The infant health effects of doulas: Leveraging big data and machine learning to inform cost-effective targeting

Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods

Building siamese attention-augmented recurrent convolutional neural networks for document similarity scoring

Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing

Reducing the environmental impact of mask inductions in children: A quality improvement report

Comparison of machine learning classifiers for influenza detection from emergency department free-text reports

Prediction of Return of Spontaneous Circulation in a Pediatric Swine Model of Cardiac Arrest Using Low-Resolution Multimodal Physiological Waveforms

Extracting social determinants of health events with transformer-based multitask, multilabel named entity recognition

The Risk of Aircraft-Acquired SARS-CoV-2 Transmission during Commercial Flights: A Systematic Review

Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers

Predictive Validity of the K-CAT-SS in High-Risk Adolescents and Young Adults

Automated Matchmaking of Researcher Biosketches and Funder Requests for Proposals Using Deep Neural Networks

Early prediction of critical events for infants with single-ventricle physiology in critical care using routinely collected data

Early prediction of clinical deterioration using data-driven machine-learning modeling of electronic health records

PaTH: towards a learning health system in the Mid-Atlantic region

Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts

Predicting pediatric emergence delirium using data-driven machine learning applied to electronic health record dataset at a quaternary care pediatric hospital

A Bayesian approach for detecting a disease that is not being modeled

Comparing different wavelet transforms on removing electrocardiogram baseline wanders and special trends

Predictive modeling for classification of positive valence system symptom severity from initial psychiatric evaluation records

Addressing Health-Related Social Needs and Mental Health Needs in the Neonatal Intensive Care Unit: Exploring Challenges and the Potential of Technology

An argument for reporting data standardization procedures in multi-site predictive modeling: case study on the impact of LOINC standardization on model performance

An analytics appliance for identifying (near) optimal over-the-counter medicine products as health indicators for influenza surveillance

A study of the transferability of influenza case detection systems between two large healthcare systems

The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance

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