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Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks

BMC bioinformatics, 2020-09, Vol.21 (Suppl 13), p.379-379, Article 379

2020

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An individualized Bayesian method for estimating genomic variants of hypertension

BMC genomics, 2023-11, Vol.23 (Suppl 5), p.863-863, Article 863

2023

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An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors

PLoS computational biology, 2022-12, Vol.18 (12), p.e1010761

2022

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Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference

PLoS computational biology, 2019-07, Vol.15 (7), p.e1007088-e1007088

2019

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Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study

Journal of medical Internet research, 2020-04, Vol.22 (4), p.e15876-e15876

2020

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A Temporal Pattern Mining Approach for Classifying Electronic Health Record Data

ACM transactions on intelligent systems and technology, 2013-09, Vol.4 (4), p.1-22

2013

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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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A multivariate Bayesian scan statistic for early event detection and characterization

Machine learning, 2010-06, Vol.79 (3), p.261-282

2010

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Bayesian network models with decision tree analysis for management of childhood malaria in Malawi

BMC medical informatics and decision making, 2021-05, Vol.21 (1), p.158-158, Article 158

2021

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Application of an efficient Bayesian discretization method to biomedical data

BMC bioinformatics, 2011-07, Vol.12 (1), p.309-309, Article 309

2011

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A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries

Journal of biomedical informatics, 2001-10, Vol.34 (5), p.301-310

2001

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Personalized Modeling for Prediction with Decision-Path Models

PloS one, 2015-06, Vol.10 (6), p.e0131022

2015

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A bayesian method for evaluating and discovering disease loci associations

PloS one, 2011-08, Vol.6 (8), p.e22075-e22075

2011

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Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics

Molecular cancer research, 2018-02, Vol.16 (2), p.269-278

2018

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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 application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data

Journal of the American Medical Informatics Association : JAMIA, 2011-07, Vol.18 (4), p.370-375

2011

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Outlier detection for patient monitoring and alerting

Journal of biomedical informatics, 2013-02, Vol.46 (1), p.47-55

2013

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Scoring Bayesian networks of mixed variables

International journal of data science and analytics, 2018-08, Vol.6 (1), p.3-18

2018

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Outlier-based detection of unusual patient-management actions: An ICU study

Journal of biomedical informatics, 2016-12, Vol.64, p.211-221

2016

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Using machine learning to selectively highlight patient information

Journal of biomedical informatics, 2019-12, Vol.100, p.103327-103327, Article 103327

2019

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Patient-Specific Modeling with Personalized Decision Paths

AMIA ... Annual Symposium proceedings, 2020, Vol.2020, p.602-611

2020

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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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An interpretable deep learning framework for genome-informed precision oncology

Nature machine intelligence, 2024-08, Vol.6 (8), p.864-875

2024

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A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease

Artificial intelligence in medicine, 2023-05, Vol.139, p.102546-102546, Article 102546

2023

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Binary classifier calibration using an ensemble of piecewise linear regression models

Knowledge and information systems, 2018-01, Vol.54 (1), p.151-170

2018

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Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks

An individualized Bayesian method for estimating genomic variants of hypertension

An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors

Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study

A Temporal Pattern Mining Approach for Classifying Electronic Health Record Data

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

A multivariate Bayesian scan statistic for early event detection and characterization

Bayesian network models with decision tree analysis for management of childhood malaria in Malawi

Application of an efficient Bayesian discretization method to biomedical data

A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries

Personalized Modeling for Prediction with Decision-Path Models

A bayesian method for evaluating and discovering disease loci associations

Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics

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

The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data

Outlier detection for patient monitoring and alerting

Scoring Bayesian networks of mixed variables

Outlier-based detection of unusual patient-management actions: An ICU study

Using machine learning to selectively highlight patient information

Patient-Specific Modeling with Personalized Decision Paths

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

An interpretable deep learning framework for genome-informed precision oncology

A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease

Binary classifier calibration using an ensemble of piecewise linear regression models

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