José D. Posada

According to our database, José D. Posada authored at least 18 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare.

Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Alan Fries, José D. Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung

BMC Medical Informatics Decis. Mak., December, 2024

2023

Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

Joshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, Keith E. Morse, Scott Lanyon Fleming, Catherine Aftandilian, Stephen R. Pfohl, José D. Posada, Nigam Shah, Jason Alan Fries, Lillian Sung

J. Am. Medical Informatics Assoc., November, 2023

A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records.

Lin Lawrence Guo, Jason A. Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung

CoRR, 2023

2022

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing.

Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

CoRR, 2022

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing.

Jason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Electrochemical Immunosensor for the Quantification of S100B at Clinically Relevant Levels Using a Cysteamine Modified Surface.

Alexander Rodríguez, Francisco Burgos-Flórez, José D. Posada, Eliana Cervera, Valtencir Zucolotto, Homero Sanjuán, Marco E. Sanjuan, Pedro J. Villalba

Sensors, 2021

ACE: the Advanced Cohort Engine for searching longitudinal patient records.

Alison Callahan, Vladimir Polony, José D. Posada, Juan M. Banda, Saurabh Gombar, Nigam H. Shah

J. Am. Medical Informatics Assoc., 2021

Integrating Flowsheet Data in OMOP Common Data Model for Clinical Research.

Tina Seto, Lillian Sung, José D. Posada, Priyamvada Desai, Susan Weber, Somalee Datta

CoRR, 2021

Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.

Lin Lawrence Guo, Stephen R. Pfohl, Jason Alan Fries, José D. Posada, Scott L. Fleming, Catherine Aftandilian, Nigam Shah, Lillian Sung

Appl. Clin. Inform., 2021

2020

Trove: Ontology-driven weak supervision for medical entity classification.

Jason A. Fries, Ethan Steinberg, Saelig Khattar, Scott L. Fleming, José D. Posada, Alison Callahan, Nigam H. Shah

CoRR, 2020

A new paradigm for accelerating clinical data science at Stanford Medicine.

Somalee Datta, José D. Posada, Garrick Olson, Wencheng Li, Ciaran O'Reilly, Deepa Balraj, Joseph Mesterhazy, Joseph Pallas, Priyamvada Desai, Nigam Shah

CoRR, 2020

Characterizing database granularity using SNOMED-CT hierarchy.

Anna Ostropolets, Christian G. Reich, Patrick B. Ryan, Chunhua Weng, Anthony Molinaro, Frank J. DeFalco, Jitendra Jonnagaddala, Siaw-Teng Liaw, Hokyun Jeon, Rae Woong Park, Matthew E. Spotnitz, Karthik Natarajan, Kristin Kostka, George Argyriou, Robert T. Miller, Andrew E. Williams, Evan Minty, José D. Posada, George Hripcsak

Proceedings of the AMIA 2020, 2020

Data Quality Assessment of Laboratory Data.

Vojtech Huser, Clair Blacketer, Karthik Natarajan, Robert T. Miller, Andrew Williams, Selva Muthu Kumaran Sathappan, José D. Posada, Nigam Shah

Proceedings of the AMIA 2020, 2020

2018

Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning.

José D. Posada, Lingyun Shi, Sergio M. Castro, Shyam Visweswaran, Neal D. Ryan, Henk Harkema, Rich Tsui

Proceedings of the AMIA 2018, 2018

2017

Using Logistic Regression to Verify Completeness of Electronic Health Records for Infant Mortality Analysis.

Luge Yang, José D. Posada, Hoah-Der Su, Lingyun Shi, Mi Fan, Rich Tsui

Proceedings of the AMIA 2017, 2017

2016

Use of Freetext Clinical Reports for Prediction of 30-Day Psychiatric Readmissions.

José D. Posada, Lingyun Shi, Ye Ye, Frank A. Ghinassi, Neal D. Ryan, Henk Harkema, Rich Tsui

Proceedings of the AMIA 2016, 2016

2012

Centinela: A human activity recognition system based on acceleration and vital sign data.

Oscar D. Lara, Alfredo J. Perez, Miguel A. Labrador, José D. Posada

Pervasive Mob. Comput., 2012

2011

Fault detection at a continuous hot dip galvanization line.

José D. Posada, Jaime R. Garcia, Melitsa J. Torres, Marco E. Sanjuan

Proceedings of the IEEE IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011