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ORCIDJuan M. Banda
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2020 – today
- 2024
[j16]Ari Z. Klein
, Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez:
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. J. Am. Medical Informatics Assoc. 31(4): 991-996 (2024)- [i16]Alison Callahan, Duncan C. McElfresh, Juan M. Banda, Gabrielle Bunney, Danton Char, Jonathan H. Chen, Conor K. Corbin, Debadutta Dash, Norman L. Downing, Sneha S. Jain, Nikesh Kotecha, Jonathan Masterson, Michelle M. Mello, Keith E. Morse, Srikar Nallan, Abby Pandya, Anurang Revri, Aditya Sharma, Christopher D. Sharp, Rahul Thapa, Michael Wornow, Alaa Youssef, Michael A. Pfeffer, Nigam H. Shah:
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. CoRR abs/2403.07911 (2024) - 2023
- [j15]Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy A. Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Melo Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez:
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. Database J. Biol. Databases Curation 2023 (2023) - [j14]Anna Ostropolets, Yasser Albogami, Mitchell Conover, Juan M. Banda, William A. Baumgartner Jr., Clair Blacketer, Priyamvada Desai, Scott L. DuVall, Stephen P. Fortin, James P. Gilbert, Asieh Golozar, Joshua Ide, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan:
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30(5): 859-868 (2023) - [j13]Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - [j12]Juan M. Banda, Ariel Ruiz-Garcia, Laura N. Montoya, Ivan Arraut:
LatinX in AI research. Neural Comput. Appl. 35(25): 18097-18098 (2023) - [j11]Ramya Tekumalla, Juan M. Banda:
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions. Neural Comput. Appl. 35(25): 18161-18169 (2023) - [j10]Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing health systems data at scale: making translational discovery a reality. npj Digit. Medicine 6 (2023) - [c38]Ramya Tekumalla, Luis Alberto Robles Hernandez, Juan M. Banda:
Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations. IEEE Big Data 2023: 3736-3742 - [c37]Ramya Tekumalla, Juan M. Banda:
Leveraging Large Language Models and Weak Supervision for Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets. HCI (50) 2023: 356-366 - [i15]Debadutta Dash, Rahul Thapa, Juan M. Banda, Akshay Swaminathan, Morgan Cheatham, Mehr Kashyap, Nikesh Kotecha, Jonathan H. Chen, Saurabh Gombar, Lance Downing, Rachel Pedreira, Ethan Goh, Angel Arnaout, Garret Kenn Morris, Honor Magon, Matthew P. Lungren, Eric Horvitz, Nigam H. Shah:
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery. CoRR abs/2304.13714 (2023) - [i14]Ramya Tekumalla, Juan M. Banda:
Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets. CoRR abs/2309.06503 (2023) - 2022
- [c36]Ramya Tekumalla, Juan M. Banda:
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision. IEEE Big Data 2022: 4816-4823 - [c35]Ramya Tekumalla, Juan M. Banda:
An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision. IEEE Big Data 2022: 4824-4832 - [c34]Davy Weissenbacher, Juan M. Banda, Vera Davydova, Darryl Estrada-Zavala, Luis Gascó Sánchez, Yao Ge, Yuting Guo, Ari Z. Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Ana Lucía Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez:
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. SMM4H@COLING 2022: 221-241 - [c33]Ramya Tekumalla, Zia Baig, Michelle Pan, Luis Alberto Robles Hernandez, Michael Wang, Juan M. Banda:
Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter. ICWSM Workshops 2022 - [i13]Ramya Tekumalla, Juan M. Banda:
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision. CoRR abs/2207.04947 (2022) - [i12]Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Melissa A. Haendel, Asiyah Y. Lin, Blake Martin, Nicolas Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. CoRR abs/2209.04732 (2022) - [i11]Ramya Tekumalla, Juan M. Banda:
Identifying epidemic related Tweets using noisy learning. CoRR abs/2209.12614 (2022) - 2021
- [j9]Alison Callahan, Vladimir Polony, José D. Posada, Juan M. Banda, Saurabh Gombar, Nigam H. Shah:
ACE: the Advanced Cohort Engine for searching longitudinal patient records. J. Am. Medical Informatics Assoc. 28(7): 1468-1479 (2021) - [j8]Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag:
Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media. J. Biomed. Informatics 120: 103844 (2021) - [c32]Katherine J. Sullivan, Marisha Burden, Angela Keniston, Juan M. Banda, Lawrence E. Hunter:
Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data. PSB 2021 - [c31]Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez:
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. SMM4H@NAACL-HLT 2021: 21-32 - [e1]Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré-Maduell, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez:
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, SMM4H@NAACL-HLT 2021, Mexico City, Mexico, June 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-31-2 [contents] - [i10]Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag:
Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media. CoRR abs/2102.06836 (2021) - [i9]Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda:
A Biomedically oriented automatically annotated Twitter COVID-19 Dataset. CoRR abs/2107.12565 (2021) - 2020
- [j7]Mehr Kashyap, Martin G. Seneviratne, Juan M. Banda, Thomas Falconer, Borim Ryu, Sooyoung Yoo, George Hripcsak, Nigam H. Shah:
Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network. J. Am. Medical Informatics Assoc. 27(6): 877-883 (2020) - [j6]Leyla J. García, Erick Antezana, Alexander García Castro, Evan Bolton, Rafael C. Jiménez, Pjotr Prins, Juan M. Banda, Toshiaki Katayama:
Ten simple rules to run a successful BioHackathon. PLoS Comput. Biol. 16(5) (2020) - [c30]Xu Zuo, Jianfu Li, Bo Zhao, Yujia Zhou, Xiao Dong, Jon D. Duke, Karthik Natarajan, George Hripcsak, Nigam Shah, Juan M. Banda, Ruth M. Reeves, Hua Xu:
Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study. AMIA 2020 - [c29]Ramya Tekumalla, Juan M. Banda:
Characterizing drug mentions in COVID-19 Twitter Chatter. NLP4COVID@EMNLP 2020 - [c28]Ramya Tekumalla, Javad Rafiei-Asl, Juan M. Banda:
Mining Archive.org's Twitter Stream Grab for Pharmacovigilance Research Gold. ICWSM 2020: 909-917 - [i8]Ramya Tekumalla, Juan M. Banda:
Social Media Mining Toolkit (SMMT). CoRR abs/2003.13894 (2020) - [i7]Ramya Tekumalla, Juan M. Banda:
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources. CoRR abs/2003.13900 (2020) - [i6]Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Gerardo Chowell:
A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration. CoRR abs/2004.03688 (2020) - [i5]Javad Rafiei-Asl, Juan M. Banda:
GLEAKE: Global and Local Embedding Automatic Keyphrase Extraction. CoRR abs/2005.09740 (2020) - [i4]Ramya Tekumalla, Juan M. Banda:
Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning. CoRR abs/2007.10276 (2020)
2010 – 2019
- 2019
- [j5]Juan M. Banda, Ashish Sarraju, Fahim Abbasi, Justin Parizo, Mitchel Pariani, Hannah Ison, Elinor Briskin, Hannah Wand, Sébastien Dubois, Kenneth Jung, Seth A. Myers, Daniel J. Rader, Joseph B. Leader, Michael F. Murray, Kelly D. Myers, Katherine Wilemon, Nigam H. Shah, Joshua W. Knowles:
Finding missed cases of familial hypercholesterolemia in health systems using machine learning. npj Digit. Medicine 2 (2019) - [c27]Toqi Tahamid Sarker, Juan M. Banda:
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation. IEEE BigData 2019: 4942-4949 - [c26]Vojtech Huser, Xiaochun Li, Zuoyi Zhang, Sungjae Jung, Rae Woong Park, Juan M. Banda, Hanieh Razzaghi, Ajit Londhe, Karthik Natarajan:
Extending Achilles Heel Data Quality Tool with New Rules Informed by Multi-Site Data Quality Comparison. MedInfo 2019: 1488-1489 - [i3]Toqi Tahamid Sarker, Juan M. Banda:
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation. CoRR abs/1911.08350 (2019) - 2018
- [c25]Albee Y. Ling, Emily Alsentzer, Josephine Chen, Juan M. Banda, Suzanne Tamang, Evan P. Minty:
Scalable Electronic Phenotyping For Studying Patient Comorbidities. AMIA 2018 - [c24]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 - [c23]Tobias Kuhn, Albert Meroño-Peñuela, Alexander Malic, Jorrit H. Poelen, Allen H. Hurlbert, Emilio Centeno Ortiz, Laura I. Furlong, Núria Queralt-Rosinach, Christine Chichester, Juan M. Banda, Egon L. Willighagen, Friederike Ehrhart, Chris T. A. Evelo, Tareq B. Malas, Michel Dumontier:
Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. eScience 2018: 83-92 - [i2]Tobias Kuhn, Albert Meroño-Peñuela, Alexander Malic, Jorrit H. Poelen, Allen H. Hurlbert, Emilio Centeno, Laura I. Furlong, Núria Queralt-Rosinach, Christine Chichester, Juan M. Banda, Egon L. Willighagen, Friederike Ehrhart, Chris T. A. Evelo, Tareq B. Malas, Michel Dumontier:
Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. CoRR abs/1809.06532 (2018) - 2017
- [c22]Juan M. Banda, Yoni Halpern, David A. Sontag, Nigam Shah:
Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network. CRI 2017 - [c21]Ahmet Küçük, Juan M. Banda, Rafal A. Angryk:
Solar Event Classification Using Deep Convolutional Neural Networks. ICAISC (1) 2017: 118-130 - 2016
- [j4]Vibhu Agarwal, Tanya Podchiyska, Juan M. Banda, Veena Goel, Tiffany I. Leung, Evan P. Minty, Timothy E. Sweeney, Elsie Gyang, Nigam H. Shah:
Learning statistical models of phenotypes using noisy labeled training data. J. Am. Medical Informatics Assoc. 23(6): 1166-1173 (2016) - [j3]Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Dustin Kempton, Berkay Aydin, Petrus C. Martens:
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations. ACM Trans. Spatial Algorithms Syst. 2(3): 10:1-10:27 (2016) - 2015
- [j2]Michael A. Schuh, Juan M. Banda, Tim Wylie, Patrick McInerney, Karthik Ganesan Pillai, Rafal A. Angryk:
On visualization techniques for solar data mining. Astron. Comput. 10: 32-42 (2015) - [j1]Juan M. Banda, Rafal A. Angryk:
Regional content-based image retrieval for solar images: Traditional versus modern methods. Astron. Comput. 13: 108-116 (2015) - [c20]Juan M. Banda, Rafal A. Angryk:
Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images. ICDM Workshops 2015: 582-588 - [c19]Juan M. Banda, Tobias Kuhn, Nigam H. Shah, Michel Dumontier:
Provenance-Centered Dataset of Drug-Drug Interactions. ISWC (2) 2015: 293-300 - [i1]Juan M. Banda, Tobias Kuhn, Nigam H. Shah, Michel Dumontier:
Provenance-Centered Dataset of Drug-Drug Interactions. CoRR abs/1507.05408 (2015) - 2014
- [c18]Juan M. Banda, Rafal A. Angryk:
Scalable solar image Retrieval with Lucene. IEEE BigData 2014: 11-17 - [c17]Juan M. Banda, Rafal A. Angryk:
Large-Scale Region-Based Multimedia Retrieval for Solar Images. ICAISC (1) 2014: 649-661 - [c16]Juan M. Banda, Rafal A. Angryk, Michael A. Schuh, Petrus C. Martens:
Image retrieval on compressed images: Can we tell the difference? IPTA 2014: 235-240 - 2013
- [c15]Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Tim Wylie, Michael A. Schuh:
Spatiotemporal Co-occurrence Rules. ADBIS (2) 2013: 27-35 - [c14]Juan M. Banda, Michael A. Schuh, Tim Wylie, Patrick McInerney, Rafal A. Angryk:
When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System. ADBIS (2) 2013: 87-95 - [c13]Juan M. Banda, Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Patrick McInerney:
Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events. ADBIS (2) 2013: 151-158 - [c12]Michael A. Schuh, Tim Wylie, Juan M. Banda, Rafal A. Angryk:
A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing. BNCOD 2013: 238-252 - [c11]Karthik Ganesan Pillai, Liessman Sturlaugson, Juan M. Banda, Rafal A. Angryk:
Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned. BNCOD 2013: 253-267 - [c10]Juan M. Banda, Chang Liu, Rafal A. Angryk:
Region-Based Querying of Solar Data Using Descriptor Signatures. ICDM Workshops 2013: 1-7 - [c9]Patrick M. McInerney, Juan M. Banda, Rafal A. Angryk:
On Using SIFT Descriptors for Image Parameter Evaluation. ICDM Workshops 2013: 32-39 - [c8]Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Juan M. Banda, Petrus C. Martens:
A large-scale solar image dataset with labeled event regions. ICIP 2013: 4349-4353 - 2012
- [c7]Juan M. Banda, Rafal A. Angryk, Petrus C. Martens:
Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives. FLAIRS 2012 - [c6]Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Michael A. Schuh, Tim Wylie:
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions. ICDM Workshops 2012: 805-812 - 2011
- [c5]Juan M. Banda, Rafal A. Angryk, Petrus C. Martens:
On the surprisingly accurate transfer of image parameters between medical and solar images. ICIP 2011: 3669-3672 - 2010
- [c4]Juan M. Banda, Rafal A. Angryk:
Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis. CIDU 2010: 189-203 - [c3]Juan M. Banda, Rafal A. Angryk:
Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory. DICTA 2010: 528-534 - [c2]Juan M. Banda, Rafal A. Angryk:
An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization. FLAIRS 2010
2000 – 2009
- 2009
- [c1]Juan M. Banda, Rafal A. Angryk:
On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images. FUZZ-IEEE 2009: 2019-2024
Coauthor Index
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