Tina Hernandez-Boussard - researchr alias

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Viewing Publication 1 - 54 from 54

2023

Perspectives on validation of clinical predictive algorithmsAnne A. H. de Hond, Vaibhavi B. Shah, Ilse M. J. Kant, Ben Van Calster, Ewout W. Steyerberg, Tina Hernandez-Boussard. npjdm, 6, 2023. [doi]

Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoringOualid El Hajouji, Ran Sun, Alban Zammit, Keith Humphreys, Steven M. Asch, Ian Carroll, Catherine M. Curtin, Tina Hernandez-Boussard. ploscb, 19(8), 2023. [doi]

Predicting Depression Risk in Patients with Cancer Using Multimodal DataAnne De Hond, Marieke M. van Buchem, Claudio Fanconi, Mohana Roy, Douglas W. Blayney, Ilse M. J. Kant, Ewout W. Steyerberg, Tina Hernandez-Boussard. mie 2023: 817-818 [doi]

Multimodal data fusion for cancer biomarker discovery with deep learningSandra Steyaert, Marija Pizurica, Divya Nagaraj, Priya Khandelwal, Tina Hernandez-Boussard, Andrew J. Gentles, Olivier Gevaert. natmi, 5(4):351-362, April 2023. [doi]

Censored Fairness through AwarenessWenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss. AAAI 2023: 14611-14619 [doi]

2022

The Impact of Algorithms on Racial and Ethnic Disparities in Health and HealthcareArlene Bierman, Helen Burstin, Tina Hernandez-Boussard, Maia Hightower, Nikhil Mull. amia 2022: [doi]

Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological StageSelen Bozkurt, Christopher J. Magnani, Martin G. Seneviratne, James D. Brooks, Tina Hernandez-Boussard. fdgth, 4:793316, 2022. [doi]

Changes in postoperative opioid prescribing across three diverse healthcare systems, 2010-2020Jean Coquet, Alban Zammit, Oualid El Hajouji, Keith Humphreys, Steven M. Asch, Thomas F. Osborne, Catherine M. Curtin, Tina Hernandez-Boussard. fdgth, 4, 2022. [doi]

Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AIAnne A H. de Hond, Marieke M. van Buchem, Tina Hernandez-Boussard. jamia, 29(12):2178-2181, 2022. [doi]

Implications of Data As a Public Good: Charting a Path Toward Diagnostic ExcellenceCurtis P. Langlotz, Thomas Wang, Tina Hernandez-Boussard, Irene Dankwa-Mullan. amia 2022: [doi]

Predicting Prolonged Opioid Use Following Surgery Using Machine Learning: Challenges and OutcomesBehzad Naderalvojoud, Anne A. H. de Hond, Alessandro Shapiro, Jean Coquet, Tina Seto, Tina Hernandez-Boussard. amia 2022: [doi]

Using Reddit to detect suicidal ideation from patient emailsMarieke M. van Buchem, Hamza El Mosor, Jean Coquet, Tina Hernandez-Boussard. amia 2022: [doi]

Opioid2MME: Standardizing opioid prescriptions to morphine milligram equivalents from electronic health recordsJuan Antonio Lossio Ventura, Wenyu Song, Michael Sainlaire, Patricia C. Dykes, Tina Hernandez-Boussard. ijmi, 162:104739, 2022. [doi]

Clinical concept recognition: Evaluation of existing systems on EHRsJuan Antonio Lossio Ventura, Ran Sun, Sebastien Boussard, Tina Hernandez-Boussard. frai, 5, 2022. [doi]

Leveraging weak supervision to perform named entity recognition in electronic health records progress notes to identify the ophthalmology examSophia Y. Wang, Justin Huang, Hannah Hwang, Wendeng Hu, Shiqi Tao, Tina Hernandez-Boussard. ijmi, 167:104864, 2022. [doi]

Using Deep Learning-based Natural Language Processing to Identify Reasons for Statin Non-Adherence in Patients with Atherosclerotic Cardiovascular DiseaseAlban Zammit, Tina Hernandez-Boussard, Jean Coquet, Ashish Sarraju, Fátima Rodríguez. amia 2022: [doi]

2021

Expanding the secondary use of prostate cancer real world data: Automated Classifiers for Clinical and Pathological StageSelen Bozkurt, Tina Hernandez-Boussard. amia 2021: [doi]

Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional studyHarris Carmichael, Jean Coquet, Ran Sun, Shengtian Sang, Danielle Groat, Steven M. Asch, Joseph Bledsoe, Ithan D. Peltan, Jason R. Jacobs, Tina Hernandez-Boussard. jbi, 119:103802, 2021. [doi]

Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutionsTina Hernandez-Boussard, Matthew P. Lundgren, Nigam Shah. jamia, 28(6):1353-1355, 2021. [doi]

Corrigendum: Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutionsTina Hernandez-Boussard, Matthew P. Lungren, Nigam Shah. jamia, 28(7):1600, 2021. [doi]

Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19Eliane Röösli, Brian Rice, Tina Hernandez-Boussard. jamia, 28(1):190-192, 2021. [doi]

Health management via telemedicine: Learning from the COVID-19 experienceRan Sun, Douglas W. Blayney, Tina Hernandez-Boussard. jamia, 28(11):2536-2540, 2021. [doi]

Evaluation of clustering and topic modeling methods over health-related tweets and emailsJuan Antonio Lossio Ventura, Sergio Gonzales, Juandiego Morzan, Hugo Alatrista Salas, Tina Hernandez-Boussard, Jiang Bian 0001. artmed, 117:102096, 2021. [doi]

Development and evaluation of novel ophthalmology domain-specific neural word embeddings to predict visual prognosisSophia Y. Wang, Benjamin Tseng, Tina Hernandez-Boussard. ijmi, 150:104464, 2021. [doi]

2020

Distinct Clusters of Patient reported outcome (PRO) trajectories among oncology patients receiving chemotherapySelen Bozkurt, Amee D. Azad, Melih Yilmaz, James D. Brooks, Douglas W. Blayney, Tina Hernandez-Boussard. amia 2020: [doi]

Reporting of demographic data and representativeness in machine learning models using electronic health recordsSelen Bozkurt, Eli M. Cahan, Martin G. Seneviratne, Ran Sun, Juan Antonio Lossio Ventura, John P. A. Ioannidis, Tina Hernandez-Boussard. jamia, 27(12):1878-1884, 2020. [doi]

Standardizing Opioid Prescriptions across Systems: Challenges, Strengths, and OpportunitiesTina Hernandez-Boussard, Juan Antonio Lossio Ventura, Ania Syrowatka, Wenyu Song, Patricia C. Dykes. amia 2020: [doi]

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health careTina Hernandez-Boussard, Selen Bozkurt, John P. A. Ioannidis, Nigam H. Shah. jamia, 27(12):2011-2015, 2020. [doi]

The Food and Drug Administration (FDA) Center for Biologics Evaluation and Research (CBER) Biologics Effectiveness and Safety (BEST) Initiative: How Informatics Can Assist the Secondary Use of Electronic Health Records to Inform Regulatory DecisionsAzadeh Shoaibi, Hui-Lee Wong, Christian Reich, Keran Moll, Tina Hernandez-Boussard. amia 2020: [doi]

Navigating the National Cancer Institute Grants Process: A Primer for Informatics ResearchersRobin C. Vanderpool, April Oh, Roxanne E. Jensen, Urmimala Sarkar, Tina Hernandez-Boussard. amia 2020: [doi]

Automated extraction of ophthalmic surgery outcomes from the electronic health recordSophia Y. Wang, Suzann Pershing, Elaine Tran, Tina Hernandez-Boussard. ijmi, 133, 2020. [doi]

Trajectory analysis for postoperative pain using electronic health records: A nonparametric method with robust linear regression and K-medians cluster analysisYingjie Weng, Lu Tian, Dario Tedesco, Karishma Desai, Steven M. Asch, Ian Carroll, Catherine Curtin, Kathryn M. McDonald, Tina Hernandez-Boussard. hij, 26(2):1404-1418, 2020. [doi]

2019

Putting the data before the algorithm in big data addressing personalized healthcareEli M. Cahan, Tina Hernandez-Boussard, Sonoo Thadaney Israni, Daniel L. Rubin. npjdm, 2, 2019. [doi]

Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patientsJean Coquet, Selen Bozkurt, Kathleen M. Kan, Michelle Ferrari, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard. jbi, 94, 2019. [doi]

Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studiesTina Hernandez-Boussard, Keri L. Monda, Blai Coll Crespo, Dan Riskin. jamia, 26(11):1189-1194, 2019. [doi]

Machine Learning Approaches for Extracting Stage from Pathology Reports in Prostate CancerRaphael Lenain, Martin G. Seneviratne, Selen Bozkurt, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard. medinfo 2019: 1522-1523 [doi]

Merging heterogeneous clinical data to enable knowledge discoveryMartin G. Seneviratne, Michael G. Kahn, Tina Hernandez-Boussard. psb 2019: 439-443 [doi]

Clinical named-entity recognition: A short comparisonJuan Antonio Lossio Ventura, Sebastien Boussard, Juandiego Morzan, Tina Hernandez-Boussard. bibm 2019: 1548-1550 [doi]

Clustering and topic modeling over tweets: A comparison over a health datasetJuan Antonio Lossio Ventura, Juandiego Morzan, Hugo Alatrista Salas, Tina Hernandez-Boussard, Jiang Bian 0001. bibm 2019: 1544-1547 [doi]

Understanding Patient Attitudes Toward Multifocal Intraocular Lenses in Online Medical Forums Through Sentiment AnalysisSophia Y. Wang, Tina Hernandez-Boussard, Robert T. Chang, Suzann Pershing. medinfo 2019: 1378-1382 [doi]

2018

2017

Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate cancer TreatmentTina Hernandez-Boussard, Panayotis Kourdis, Wen-wai Yim, Rajendra Dulal, Douglas W. Blayney, James Brooks. amia 2017: [doi]

Annotation of pain and anesthesia events for surgery-related processes and outcomes extractionWen-wai Yim, Dario Tedesco, Catherine Curtin, Tina Hernandez-Boussard. bionlp 2017: 200-205 [doi]

2015

Impact of Electronic Health Records on Quality of Care: Evidence on Inpatient Mortality, Readmissions, and ComplicationsTina Hernandez-Boussard, Catherine Curtin, Doug Morrision, Swati Yanamadala, Katherine McDonald. amia 2015: [doi]

2008

The pharmacogenetics and pharmacogenomics knowledge base: accentuating the knowledgeTina Hernandez-Boussard, Michelle Whirl Carrillo, Joan M. Hebert, Li Gong, Ryan Owen, Mei Gong, Winston Gor, Feng Liu, Chuong Truong, Ryan Whaley, Mark Woon, Tina Zhou, Russ B. Altman, Teri E. Klein. nar, 36(Database-Issue):913-918, 2008. [doi]

2007

The Stanford Microarray Database: implementation of new analysis tools and open source release of softwareJanos Demeter, Catherine Beauheim, Jeremy Gollub, Tina Hernandez-Boussard, Heng Jin, Donald Maier, John C. Matese, Michael Nitzberg, Farrell Wymore, Zachariah K. Zachariah, Patrick O. Brown, Gavin Sherlock, Catherine A. Ball. nar, 35(Database-Issue):766-770, 2007. [doi]

2005

The Stanford Microarray Database accommodates additional microarray platforms and data formatsCatherine A. Ball, Ihab A. B. Awad, Janos Demeter, Jeremy Gollub, Joan M. Hebert, Tina Hernandez-Boussard, Heng Jin, John C. Matese, Michael Nitzberg, Farrell Wymore, Zachariah K. Zachariah, Patrick O. Brown, Gavin Sherlock. nar, 33(Database-Issue):580-582, 2005. [doi]

2004

Caryoscope: An Open Source Java application for viewing microarray data in a genomic contextIhab A. B. Awad, Christian A. Rees, Tina Hernandez-Boussard, Catherine A. Ball, Gavin Sherlock. bmcbi, 5:151, 2004. [doi]

2003

2001

The Stanford Microarray DatabaseGavin Sherlock, Tina Hernandez-Boussard, Andrew Kasarskis, Gail Binkley, John C. Matese, Selina S. Dwight, Miroslava Kaloper, Shuai Weng, Heng Jin, Catherine A. Ball, Michael B. Eisen, Paul T. Spellman, Patrick O. Brown, David Botstein, J. Michael Cherry. nar, 29(1):152-155, 2001.

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