Jose Posada

1.5k citations

31 papers · 552 indexed · h-index 12

Impact in

Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Health Information Management top 5%
- Artificial Intelligence in Healthcare

Papers in

Health Informatics 3
- Artificial Intelligence in Healthcare and Education 3
Health Information Management 6
- Electronic Health Records Systems 5

Co-authors: Miguel A. Labrador Alfredo J. Pérez Nigam H. Shah Jason Fries Scott L. Fleming Lillian Sung Catherine Aftandilian Stephen Pfohl
Journals: Journal of the American Medical Informatics Association (3 papers)Scientific Reports (2 papers)Applied Clinical Informatics (2 papers)Journal of Personalized Medicine (1 paper)Nature Communications (1 paper)
Partner nations: United States Colombia Canada

In The Last Decade

Jose Posada

29 papers receiving 539 citations

Peers

Countries citing papers authored by Jose Posada

Since Specialization

Citations

This map shows the geographic impact of Jose Posada's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jose Posada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jose Posada more than expected).

Fields of papers citing papers by Jose Posada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jose Posada. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jose Posada. The network helps show where Jose Posada may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jose Posada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jose Posada Line = papers co-authored together Jose Posada links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models Journal of the American Medical Informatics Association ·Jaíne Machado de Abreu, Jose Posada, Rebecca M. Gardner, Tina Hernandez‐Boussard, J Duhamel	2024	4
2	Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare BMC Medical Informatics and Decision Making ·ORLANDO JOSÉ GONÇALVES FILHO, Keith Morse, Catherine Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada, Scott L. Fleming, C. Missori, C. Li, Nigam H. Shah, Lillian Sung	2024	9
3	A multi-center study on the adaptability of a shared foundation model for electronic health records npj Digital Medicine ·Lin Guo, Jason Fries, Ethan Steinberg, Scott L. Fleming, Keith Morse, Catherine Aftandilian, Jose Posada, Nigam H. Shah, Lillian Sung	2024	15
4	EHR foundation models improve robustness in the presence of temporal distribution shift Scientific Reports ·Lin Guo, Ethan Steinberg, Scott L. Fleming, Jose Posada, C. Missori, Stephen Pfohl, Nigam H. Shah, Jason Fries, Lillian Sung	2023	28
5	The Stanford Medicine data science ecosystem for clinical and translational research JAMIA Open ·Alison Callahan, Euan A. Ashley, Somalee Datta, Thomas Hines, Todd Ferris, Jason Fries, Filiz Saygun, Curtis P. Langlotz, Sean Mackey, Jose Posada, Michael A. Pfeffer, Nigam H. Shah	2023	17
6	Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks Journal of the American Medical Informatics Association ·C. Missori, Lin Guo, Ethan Steinberg, Keith Morse, Scott L. Fleming, Catherine Aftandilian, Stephen Pfohl, Jose Posada, Nigam H. Shah, Jason Fries, Lillian Sung	2023	7
7	Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study JMIR Medical Informatics ·Mvelase Nqobizizwe, Catherine Aftandilian, ORLANDO JOSÉ GONÇALVES FILHO, Lindsay Rigelman, Jose Posada, Jason Fries, Scott L. Fleming, Alistair E. W. Johnson, Nigam H. Shah, Lillian Sung	2022	5
8	Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus. PubMed ·Gisele Mattos Oliveira, O. Cavojsky, Ethan Steinberg, Jose Posada, Evan Minty, Nigam H. Shah	2022	3
9	Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine Scientific Reports ·Lin Guo, Stephen Pfohl, Jason Fries, Alistair E. W. Johnson, Jose Posada, Catherine Aftandilian, Nigam H. Shah, Lillian Sung	2022	45
10	Ontology-driven weak supervision for clinical entity classification in electronic health records Nature Communications ·Jason Fries, Ethan Steinberg, J. G. Bian, Scott L. Fleming, Jose Posada, Alison Callahan, Nigam H. Shah	2021	45
11	ACE: the Advanced Cohort Engine for searching longitudinal patient records Journal of the American Medical Informatics Association ·Alison Callahan, همت اله شمولی, Jose Posada, Juan M. Banda, Saurabh Gombar, Nigam H. Shah	2021	12
12	Electrochemical Immunosensor for the Quantification of S100B at Clinically Relevant Levels Using a Cysteamine Modified Surface Sensors ·Robert Thornton-Lee, 坪井一晃, Jose Posada, Conrad van Dyk, Valtencir Zucolotto, Homero San‐Juan‐Vergara, Marco Sanjuán, Pedro Villalba	2021	18
13	Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine Applied Clinical Informatics ·ORLANDO JOSÉ GONÇALVES FILHO, Stephen Pfohl, Jason Fries, Jose Posada, Scott L. Fleming, Catherine Aftandilian, Nigam H. Shah, Lillian Sung	2021	45
14	Using Logistic Regression to Verify Completeness of Electronic Health Records for Infant Mortality Analysis. AMIA ·Barbara Morejko-Bu, Jose Posada, João Victor Teotônio Rocha, D.A.P. Bundy, Leandro Diamantino Feijó, Nilza Carvalho Da SILVA	2017	2
15	Predictive modeling for classification of positive valence system symptom severity from initial psychiatric evaluation records Journal of Biomedical Informatics ·Jose Posada, Randall Smolinski, Lingyun Shi, 中川功哉, Vı́ctor Ruiz, W. -U. M�ller, Neal D. Ryan, Fuchiang Tsui	2017	12
16	Robotic prototype for children with low functioning autism N. G. Tsokas, Frederico Fonseca, Stephanie Mamo, Daniel Rodríguez, Jose Posada, B Zalba	2013	1
17	Fault detection at a continuous hot dip galvanization line Jose Posada, 章子横山, Martina Vladovičová, Marco Sanjuán	2011	1
18	Fault Detection Implementation for a Regional Natural Gas Transportation System Jose Posada, Martina Vladovičová, 章子横山, Marco Sanjuán	2011	0
19	Soft Sensor Design for Biodiesel Concentration in a Transesterification Reactor Manas Das, Jose Posada, Pedro Villalba, Marco Sanjuán	2008	2
20	A Type-2 Fuzzy Controller for Tracking Mobile Objects in the Context of Robotic Soccer Games 牛德旺, Jose Posada, T Lohans Christopher, Miguel Melgarejo, Jianhui Fu	2005	64

About Jose Posada

Jose Posada is a scholar working on Health Informatics, Health Information Management, Artificial Intelligence, Family Practice and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 552 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (12 papers), Fault Detection and Control Systems (6 papers), Electronic Health Records Systems (5 papers), Sepsis Diagnosis and Treatment (5 papers), Biomedical Text Mining and Ontologies (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Attention Deficit Hyperactivity Disorder (2 papers) and Oil and Gas Production Techniques (2 papers). The work is most often cited by research in Health Informatics (60 citations), Health Information Management (61 citations), Computer Vision and Pattern Recognition (174 citations), Artificial Intelligence (268 citations) and Transportation (29 citations). Jose Posada has collaborated with scholars based in United States, Colombia and Canada. Frequent co-authors include Miguel A. Labrador, Alfredo J. Pérez, Nigam H. Shah, Jason Fries, Scott L. Fleming, Lillian Sung, Catherine Aftandilian, Stephen Pfohl, Ethan Steinberg and Miguel Melgarejo. Their work appears in journals such as Journal of the American Medical Informatics Association, Scientific Reports, Applied Clinical Informatics, Journal of Personalized Medicine and Nature Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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