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Racial/Ethnic, Social, and Geographic Trends in Overdose-Associated Cardiac Arrests Observed by US Emergency Medical Services During the COVID-19 Pandemic

JAMA psychiatry (Chicago, Ill.), 2021-08, Vol.78 (8), p.886

2021

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Data-driven prediction of continuous renal replacement therapy survival

Nature communications, 2024-06, Vol.15 (1), p.5440-12, Article 5440

2024

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Long term surgical outcomes for infective endocarditis in people who inject drugs: a systematic review and meta-analysis

BMC infectious diseases, 2019-11, Vol.19 (1), p.918-918, Article 918

2019

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An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy

Computers in biology and medicine, 2015-02, Vol.57, p.139-149

2015

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Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation

Medical image analysis, 2021-01, Vol.67, p.101834-101834, Article 101834

2021

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Gastroenterology visitation and reminders predict surveillance uptake for patients with adenomas with high-risk features

Scientific reports, 2021-04, Vol.11 (1), p.8764-8764, Article 8764

2021

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Context-Based Electronic Health Record: Toward Patient Specific Healthcare

IEEE journal of biomedical and health informatics, 2012-03, Vol.16 (2), p.228-234

2012

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An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification

Expert systems with applications, 2019-08, Vol.128, p.84-95

2019

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Using Sequential Decision Making to Improve Lung Cancer Screening Performance

IEEE access, 2019, Vol.7, p.119403-119419

2019

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Feasibility of a Secure Wireless Sensing Smartwatch Application for the Self-Management of Pediatric Asthma

Sensors (Basel, Switzerland), 2017-08, Vol.17 (8), p.1780

2017

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Patient portal preferences: Perspectives on imaging information

Journal of the Association for Information Science and Technology, 2015-08, Vol.66 (8), p.1606-1615

2015

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Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution

Methods of information in medicine, 2020-12, Vol.59 (6), p.219-226

2020

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Rationale and design of a multicenter Chronic Kidney Disease (CKD) and at-risk for CKD electronic health records-based registry: CURE-CKD

BMC nephrology, 2019-11, Vol.20 (1), p.416-416, Article 416

2019

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Association of Intensive Blood Pressure Control and Living Arrangement on Cardiovascular Outcomes by Race: Post Hoc Analysis of SPRINT Randomized Clinical Trial

JAMA network open, 2022-03, Vol.5 (3), p.e222037

2022

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A Bayesian Model for Estimating Multi-State Disease Progression

Computers in biology and medicine, 2017-02, Vol.81, p.111-120

2017

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AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences

Journal of biomedical informatics, 2022-10, Vol.134, p.104168-104168, Article 104168

2022

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An integrated, ontology-driven approach to constructing observational databases for research

Journal of biomedical informatics, 2015-06, Vol.55, p.132-142

2015

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Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network

Artificial intelligence in medicine, 2016-09, Vol.72, p.42-55

2016

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Generalizability and Transportability of the National Lung Screening Trial Data: Extending Trial Results to Different Populations

Cancer epidemiology, biomarkers & prevention, 2021-12, Vol.30 (12), p.2227-2234

2021

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Envisioning the future of ‘big data’ biomedicine

Journal of biomedical informatics, 2017-05, Vol.69, p.115-117

2017

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Towards a framework for interoperability and reproducibility of predictive models

Journal of biomedical informatics, 2024-01, Vol.149, p.104551-104551, Article 104551

2024

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Applying Automated Machine Learning to Predict Mode of Delivery Using Ongoing Intrapartum Data in Laboring Patients

American journal of perinatology, 2024-05, Vol.41 (S 01), p.e412-e419

2024

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Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies

Computers in biology and medicine, 2018-01, Vol.92, p.55-63

2018

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Energy-Efficient Context Classification With Dynamic Sensor Control

IEEE transactions on biomedical circuits and systems, 2012-04, Vol.6 (2), p.167-178

2012

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Representing and extracting lung cancer study metadata: Study objective and study design

Computers in biology and medicine, 2015-03, Vol.58, p.63-72

2015

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Racial/Ethnic, Social, and Geographic Trends in Overdose-Associated Cardiac Arrests Observed by US Emergency Medical Services During the COVID-19 Pandemic

Data-driven prediction of continuous renal replacement therapy survival

Long term surgical outcomes for infective endocarditis in people who inject drugs: a systematic review and meta-analysis

An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy

Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation

Gastroenterology visitation and reminders predict surveillance uptake for patients with adenomas with high-risk features

Context-Based Electronic Health Record: Toward Patient Specific Healthcare

An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification

Using Sequential Decision Making to Improve Lung Cancer Screening Performance

Feasibility of a Secure Wireless Sensing Smartwatch Application for the Self-Management of Pediatric Asthma

Patient portal preferences: Perspectives on imaging information

Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution

Rationale and design of a multicenter Chronic Kidney Disease (CKD) and at-risk for CKD electronic health records-based registry: CURE-CKD

Association of Intensive Blood Pressure Control and Living Arrangement on Cardiovascular Outcomes by Race: Post Hoc Analysis of SPRINT Randomized Clinical Trial

A Bayesian Model for Estimating Multi-State Disease Progression

AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences

An integrated, ontology-driven approach to constructing observational databases for research

Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network

Generalizability and Transportability of the National Lung Screening Trial Data: Extending Trial Results to Different Populations

Envisioning the future of ‘big data’ biomedicine

Towards a framework for interoperability and reproducibility of predictive models

Applying Automated Machine Learning to Predict Mode of Delivery Using Ongoing Intrapartum Data in Laboring Patients

Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies

Energy-Efficient Context Classification With Dynamic Sensor Control

Representing and extracting lung cancer study metadata: Study objective and study design

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