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ORCIDTina Hernandez-Boussard
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2020 – today
- 2024
[j35]Malvika Pillai
, José D. Posada, Rebecca M. Gardner, Tina Hernandez-Boussard, Yair Bannett:
Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models. J. Am. Medical Informatics Assoc. 31(4): 949-957 (2024)- [j34]Behzad Naderalvojoud, Catherine M. Curtin, Chen Yanover, Tal El-Hay, Byungjin Choi, Rae Woong Park, Javier Gracia-Tabuenca, Mary Pat Reeve, Thomas Falconer, Keith Humphreys, Steven M. Asch, Tina Hernandez-Boussard:
Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network. J. Am. Medical Informatics Assoc. 31(5): 1051-1061 (2024) - [j33]Marieke M. van Buchem, Anne A. H. de Hond, Claudio Fanconi, Vaibhavi B. Shah, Max Schüssler, Ilse M. J. Kant, Ewout W. Steyerberg, Tina Hernandez-Boussard:
Applying natural language processing to patient messages to identify depression concerns in cancer patients. J. Am. Medical Informatics Assoc. 31(10): 2255-2262 (2024) - [j32]Sulaiman Somani, Sujana Balla, Allison W. Peng, Ramzi Dudum, Sneha Jain, Khurram Nasir, David J. Maron, Tina Hernandez-Boussard, Fátima Rodriguez:
Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence. npj Digit. Medicine 7(1) (2024) - [i3]Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard:
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records. CoRR abs/2402.00955 (2024) - [i2]Yuqing Wang, Yun Zhao, Sara Alessandra Keller, Anne A. H. de Hond, Marieke M. van Buchem, Malvika Pillai, Tina Hernandez-Boussard:
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models. CoRR abs/2406.12033 (2024) - 2023
- [j31]Sandra Steyaert, Marija Pizurica, Divya Nagaraj, Priya Khandelwal, Tina Hernandez-Boussard, Andrew J. Gentles, Olivier Gevaert:
Multimodal data fusion for cancer biomarker discovery with deep learning. Nat. Mac. Intell. 5(4): 351-362 (2023) - [j30]Anne A. H. de Hond, Vaibhavi B. Shah, Ilse M. J. Kant, Ben Van Calster, Ewout W. Steyerberg, Tina Hernandez-Boussard:
Perspectives on validation of clinical predictive algorithms. npj Digit. Medicine 6 (2023) - [j29]Oualid El Hajouji, Ran Sun, Alban Zammit, Keith Humphreys, Steven M. Asch, Ian Carroll, Catherine M. Curtin, Tina Hernandez-Boussard:
Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring. PLoS Comput. Biol. 19(8) (2023) - [c23]Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss:
Censored Fairness through Awareness. AAAI 2023: 14611-14619 - [c22]Anne De Hond, Marieke M. van Buchem, Claudio Fanconi, Mohana Roy, Douglas W. Blayney, Ilse M. J. Kant, Ewout W. Steyerberg, Tina Hernandez-Boussard:
Predicting Depression Risk in Patients with Cancer Using Multimodal Data. MIE 2023: 817-818 - 2022
- [j28]Selen Bozkurt, Christopher J. Magnani, Martin G. Seneviratne, James D. Brooks, Tina Hernandez-Boussard:
Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage. Frontiers Digit. Health 4: 793316 (2022) - [j27]Jean Coquet, Alban Zammit, Oualid El Hajouji, Keith Humphreys, Steven M. Asch, Thomas F. Osborne, Catherine M. Curtin, Tina Hernandez-Boussard:
Changes in postoperative opioid prescribing across three diverse healthcare systems, 2010-2020. Frontiers Digit. Health 4 (2022) - [j26]Eric A. Stahlberg, Mohamed Abdel-Rahman, Boris Aguilar, Alireza Asadpoure, Robert A. Beckman, Lynn L. Borkon, Jeffrey N. Bryan, Colleen M. Cebulla, Young Hwan Chang, Ansu Chatterjee, Jun Deng, Sepideh Dolatshahi, Olivier Gevaert, Emily J. Greenspan, Wenrui Hao, Tina Hernandez-Boussard, Pamela R. Jackson, Marieke L. Kuijjer, Adrian Lee, Paul Macklin, Subha Madhavan, Matthew D. McCoy, Navid Mohammad Mirzaei, Talayeh Razzaghi, Heber L. Rocha, Leili Shahriyari, Ilya Shmulevich, Daniel G. Stover, Yi Sun, Tanveer F. Syeda-Mahmood, Jinhua Wang, Qi Wang, Ioannis K. Zervantonakis:
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. Frontiers Digit. Health 4 (2022) - [j25]Juan Antonio Lossio-Ventura, Ran Sun, Sebastien Boussard, Tina Hernandez-Boussard:
Clinical concept recognition: Evaluation of existing systems on EHRs. Frontiers Artif. Intell. 5 (2022) - [j24]Juan Antonio Lossio-Ventura, Wenyu Song, Michael Sainlaire, Patricia C. Dykes, Tina Hernandez-Boussard:
Opioid2MME: Standardizing opioid prescriptions to morphine milligram equivalents from electronic health records. Int. J. Medical Informatics 162: 104739 (2022) - [j23]Sophia Y. Wang, Justin Huang, Hannah Hwang, Wendeng Hu, Shiqi Tao, Tina Hernandez-Boussard:
Leveraging weak supervision to perform named entity recognition in electronic health records progress notes to identify the ophthalmology exam. Int. J. Medical Informatics 167: 104864 (2022) - [j22]Anne A. H. de Hond, Marieke M. van Buchem, Tina Hernandez-Boussard:
Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI. J. Am. Medical Informatics Assoc. 29(12): 2178-2181 (2022) - [c21]Arlene Bierman, Helen Burstin, Tina Hernandez-Boussard, Maia Hightower, Nikhil Mull:
The Impact of Algorithms on Racial and Ethnic Disparities in Health and Healthcare. AMIA 2022 - [c20]Marieke M. van Buchem, Hamza El Mosor, Jean Coquet, Tina Hernandez-Boussard:
Using Reddit to detect suicidal ideation from patient emails. AMIA 2022 - [c19]Curtis P. Langlotz, Thomas Wang, Tina Hernandez-Boussard, Irene Dankwa-Mullan:
Implications of Data As a Public Good: Charting a Path Toward Diagnostic Excellence. AMIA 2022 - [c18]Behzad Naderalvojoud, Anne A. H. de Hond, Alessandro Shapiro, Jean Coquet, Tina Seto, Tina Hernandez-Boussard:
Predicting Prolonged Opioid Use Following Surgery Using Machine Learning: Challenges and Outcomes. AMIA 2022 - [c17]Alban Zammit, Tina Hernandez-Boussard, Jean Coquet, Ashish Sarraju, Fatima Fatiguez:
Using Deep Learning-based Natural Language Processing to Identify Reasons for Statin Non-Adherence in Patients with Atherosclerotic Cardiovascular Disease. AMIA 2022 - [i1]Claudio Fanconi, Marieke M. van Buchem, Tina Hernandez-Boussard:
Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes. CoRR abs/2209.13860 (2022) - 2021
- [j21]Juan Antonio Lossio-Ventura, Sergio Gonzales, Juandiego Morzan, Hugo Alatrista-Salas, Tina Hernandez-Boussard, Jiang Bian:
Evaluation of clustering and topic modeling methods over health-related tweets and emails. Artif. Intell. Medicine 117: 102096 (2021) - [j20]Sophia Y. Wang, Benjamin Tseng, Tina Hernandez-Boussard:
Development and evaluation of novel ophthalmology domain-specific neural word embeddings to predict visual prognosis. Int. J. Medical Informatics 150: 104464 (2021) - [j19]Eliane Röösli, Brian Rice, Tina Hernandez-Boussard:
Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19. J. Am. Medical Informatics Assoc. 28(1): 190-192 (2021) - [j18]Tina Hernandez-Boussard, Matthew P. Lungren, Nigam Shah:
Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions. J. Am. Medical Informatics Assoc. 28(6): 1353-1355 (2021) - [j17]Tina Hernandez-Boussard, Matthew P. Lungren, Nigam Shah:
Corrigendum: Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions. J. Am. Medical Informatics Assoc. 28(7): 1600 (2021) - [j16]Ran Sun, Douglas W. Blayney, Tina Hernandez-Boussard:
Health management via telemedicine: Learning from the COVID-19 experience. J. Am. Medical Informatics Assoc. 28(11): 2536-2540 (2021) - [j15]Harris Carmichael, Jean Coquet, Ran Sun, Shengtian Sang, Danielle Groat, Steven M. Asch, Joseph Bledsoe, Ithan D. Peltan, Jason R. Jacobs, Tina Hernandez-Boussard:
Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study. J. Biomed. Informatics 119: 103802 (2021) - [c16]Selen Bozkurt, Tina Hernandez-Boussard:
Expanding the secondary use of prostate cancer real world data: Automated Classifiers for Clinical and Pathological Stage. AMIA 2021 - 2020
- [j14]Yingjie Weng, Lu Tian, Dario Tedesco, Karishma Desai, Steven M. Asch, Ian Carroll, Catherine M. Curtin, Kathryn M. McDonald, Tina Hernandez-Boussard:
Trajectory analysis for postoperative pain using electronic health records: A nonparametric method with robust linear regression and K-medians cluster analysis. Health Informatics J. 26(2): 1404-1418 (2020) - [j13]Sophia Y. Wang, Suzann Pershing, Elaine Tran, Tina Hernandez-Boussard:
Automated extraction of ophthalmic surgery outcomes from the electronic health record. Int. J. Medical Informatics 133 (2020) - [j12]Selen Bozkurt, Eli M. Cahan, Martin G. Seneviratne, Ran Sun, Juan Antonio Lossio-Ventura, John P. A. Ioannidis, Tina Hernandez-Boussard:
Reporting of demographic data and representativeness in machine learning models using electronic health records. J. Am. Medical Informatics Assoc. 27(12): 1878-1884 (2020) - [j11]Tina Hernandez-Boussard, Selen Bozkurt, John P. A. Ioannidis, Nigam H. Shah:
MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care. J. Am. Medical Informatics Assoc. 27(12): 2011-2015 (2020) - [c15]Selen Bozkurt, Amee D. Azad, Melih Yilmaz, James D. Brooks, Douglas W. Blayney, Tina Hernandez-Boussard:
Distinct Clusters of Patient reported outcome (PRO) trajectories among oncology patients receiving chemotherapy. AMIA 2020 - [c14]Tina Hernandez-Boussard, Juan Antonio Lossio-Ventura, Ania Syrowatka, Wenyu Song, Patricia C. Dykes:
Standardizing Opioid Prescriptions across Systems: Challenges, Strengths, and Opportunities. AMIA 2020 - [c13]Azadeh Shoaibi, Hui-Lee Wong, Christian Reich, Keran Moll, Tina Hernandez-Boussard:
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 Decisions. AMIA 2020 - [c12]Robin C. Vanderpool, April Oh, Roxanne E. Jensen, Urmimala Sarkar, Tina Hernandez-Boussard:
Navigating the National Cancer Institute Grants Process: A Primer for Informatics Researchers. AMIA 2020
2010 – 2019
- 2019
- [j10]Tina Hernandez-Boussard, Keri L. Monda, Blai Coll Crespo, Dan Riskin:
Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies. J. Am. Medical Informatics Assoc. 26(11): 1189-1194 (2019) - [j9]Jean Coquet, Selen Bozkurt, Kathleen M. Kan, Michelle Ferrari, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard:
Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients. J. Biomed. Informatics 94 (2019) - [j8]Eli M. Cahan, Tina Hernandez-Boussard, Sonoo Thadaney Israni, Daniel L. Rubin:
Putting the data before the algorithm in big data addressing personalized healthcare. npj Digit. Medicine 2 (2019) - [c11]Juan Antonio Lossio-Ventura, Juandiego Morzan, Hugo Alatrista-Salas, Tina Hernandez-Boussard, Jiang Bian:
Clustering and topic modeling over tweets: A comparison over a health dataset. BIBM 2019: 1544-1547 - [c10]Juan Antonio Lossio-Ventura, Sebastien Boussard, Juandiego Morzan, Tina Hernandez-Boussard:
Clinical named-entity recognition: A short comparison. BIBM 2019: 1548-1550 - [c9]Sophia Y. Wang, Tina Hernandez-Boussard, Robert T. Chang, Suzann Pershing:
Understanding Patient Attitudes Toward Multifocal Intraocular Lenses in Online Medical Forums Through Sentiment Analysis. MedInfo 2019: 1378-1382 - [c8]Raphael Lenain, Martin G. Seneviratne, Selen Bozkurt, Douglas W. Blayney, James D. Brooks, Tina Hernandez-Boussard:
Machine Learning Approaches for Extracting Stage from Pathology Reports in Prostate Cancer. MedInfo 2019: 1522-1523 - [c7]Martin G. Seneviratne, Michael G. Kahn, Tina Hernandez-Boussard:
Merging heterogeneous clinical data to enable knowledge discovery. PSB 2019: 439-443 - 2018
- [c6]Selen Bozkurt, Jung Park In, Kathleen Mary Kan, Michelle Ferrari, Daniel L. Rubin, James D. Brooks, Tina Hernandez-Boussard:
An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing. AMIA 2018 - [c5]Martin G. Seneviratne, Juan M. Banda, James D. Brooks, Nigam Shah, Tina Hernandez-Boussard:
Identifying cases of metastatic prostate cancer using machine learning on electronic health records. AMIA 2018 - [c4]Sophia Y. Wang, Suzann Pershing, Tina Hernandez-Boussard:
A Pipeline to Measure Ophthalmic Surgery Outcomes from the Electronic Health Record. AMIA 2018 - 2017
- [c3]Tina Hernandez-Boussard, Panayotis Kourdis, Wen-wai Yim, Rajendra Dulal, Douglas W. Blayney, James D. Brooks:
Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate cancer Treatment. AMIA 2017 - [c2]Wen-wai Yim, Dario Tedesco, Catherine M. Curtin, Tina Hernandez-Boussard:
Annotation of pain and anesthesia events for surgery-related processes and outcomes extraction. BioNLP 2017: 200-205 - 2015
- [c1]Tina Hernandez-Boussard, Catherine M. Curtin, Doug Morrision, Swati Yanamadala, Katherine McDonald:
Impact of Electronic Health Records on Quality of Care: Evidence on Inpatient Mortality, Readmissions, and Complications. AMIA 2015
2000 – 2009
- 2008
- [j7]Tina 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:
The pharmacogenetics and pharmacogenomics knowledge base: accentuating the knowledge. Nucleic Acids Res. 36(Database-Issue): 913-918 (2008) - 2007
- [j6]Janos 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:
The Stanford Microarray Database: implementation of new analysis tools and open source release of software. Nucleic Acids Res. 35(Database-Issue): 766-770 (2007) - 2005
- [j5]Catherine 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:
The Stanford Microarray Database accommodates additional microarray platforms and data formats. Nucleic Acids Res. 33(Database-Issue): 580-582 (2005) - 2004
- [j4]Ihab A. B. Awad, Christian A. Rees, Tina Hernandez-Boussard, Catherine A. Ball, Gavin Sherlock:
Caryoscope: An Open Source Java application for viewing microarray data in a genomic context. BMC Bioinform. 5: 151 (2004) - 2003
- [j3]Jeremy Gollub, Catherine A. Ball, Gail Binkley, Janos Demeter, David B. Finkelstein, Joan M. Hebert, Tina Hernandez-Boussard, Heng Jin, Miroslava Kaloper, John C. Matese, Mark Schroeder, Patrick O. Brown, David Botstein, Gavin Sherlock:
The Stanford Microarray Database: data access and quality assessment tools. Nucleic Acids Res. 31(1): 94-96 (2003) - [j2]Maximilian Diehn, Gavin Sherlock, Gail Binkley, Heng Jin, John C. Matese, Tina Hernandez-Boussard, Christian A. Rees, J. Michael Cherry, David Botstein, Patrick O. Brown, Ash A. Alizadeh:
SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data. Nucleic Acids Res. 31(1): 219-223 (2003) - 2001
- [j1]Gavin 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:
The Stanford Microarray Database. Nucleic Acids Res. 29(1): 152-155 (2001)
Coauthor Index
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