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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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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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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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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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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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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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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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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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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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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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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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Association of Inclusion of More Black Individuals in Lung Cancer Screening With Reduced Mortality

JAMA network open, 2021-08, Vol.4 (8), p.e2119629-e2119629

2021

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Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors' Data

JMIR mHealth and uHealth, 2019-02, Vol.7 (2), p.e11201-e11201

2019

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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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Using Sequential Decision Making to Improve Lung Cancer Screening Performance

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

2019

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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

2024

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Impact of Potential Case Misclassification by Administrative Diagnostic Codes on Outcome Assessment of Observational Study for People Who Inject Drugs

Open forum infectious diseases, 2024-02, Vol.11 (2), p.ofae030-ofae030

2024

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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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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

2020

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Natural Language Processing and Machine Learning to Identify People Who Inject Drugs in Electronic Health Records

Open forum infectious diseases, 2022-09, Vol.9 (9), p.ofac471-ofac471

2022

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Asthma clustering methods: a literature-informed application to the children's health study data

The Journal of asthma, 2022-07, Vol.59 (7), p.1305-1318

2022

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Early prediction of end-stage kidney disease using electronic health record data: a machine learning approach with a 2-year horizon

JAMIA open, 2024-04, Vol.7 (1), p.ooae015-ooae015

2024

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Evaluation of an automated phenotyping algorithm for rheumatoid arthritis

Journal of biomedical informatics, 2022-11, Vol.135, p.104214-104214, Article 104214

2022

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

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

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

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

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

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

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

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

Data-driven prediction of continuous renal replacement therapy survival

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

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

Envisioning the future of ‘big data’ biomedicine

Association of Inclusion of More Black Individuals in Lung Cancer Screening With Reduced Mortality

Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors' Data

Towards a framework for interoperability and reproducibility of predictive models

Using Sequential Decision Making to Improve Lung Cancer Screening Performance

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

Impact of Potential Case Misclassification by Administrative Diagnostic Codes on Outcome Assessment of Observational Study for People Who Inject Drugs

A Bayesian Model for Estimating Multi-State Disease Progression

Patient portal preferences: Perspectives on imaging information

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

Natural Language Processing and Machine Learning to Identify People Who Inject Drugs in Electronic Health Records

Asthma clustering methods: a literature-informed application to the children's health study data

Early prediction of end-stage kidney disease using electronic health record data: a machine learning approach with a 2-year horizon

Evaluation of an automated phenotyping algorithm for rheumatoid arthritis

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