Fault detection at a continuous hot dip galvanization line. - José D. Posada; Jaime R. Garcia; Melitsa J. Torres; Marco E. Sanjuan (LARC, 2011)

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)

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 (AMIA, 2016)

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 (AMIA, 2017)

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 (AMIA, 2018)

Data Quality Assessment of Laboratory Data. - Vojtech Huser; Clair Blacketer; Karthik Natarajan; Robert T. Miller; Andrew Williams 005; Selva Muthu Kumaran Sathappan; José D. Posada; Nigam Shah (AMIA, 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; et al. (AMIA, 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)

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)

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)

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)

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)

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)

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; et al. (NeurIPS, 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; et al. (CoRR, 2022)

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., 2023)

Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models. - Malvika Pillai; José D. Posada; Rebecca M. Gardner; Tina Hernandez-Boussard; Yair Bannett (J. Am. Medical Informatics Assoc., 2024)

A multi-center study on the adaptability of a shared foundation model for electronic health records. - Lin Lawrence Guo; Jason Alan Fries; Ethan Steinberg; Scott Lanyon Fleming; Keith E. Morse; Catherine Aftandilian; José D. Posada; Nigam Shah; Lillian Sung (npj Digit. Medicine, 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., 2024)