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Hecho en Colombia
Jason Fries
Universidad Stanford
Perfil externo:
Citaciones:
63
Productos:
7
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7 Productos
Más citado
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EHR foundation models improve robustness in the presence of temporal distribution shift
Acceso Abierto
Fuente: Scientific Reports
Lin (Lawrence) Guo
Ethan Steinberg
Scott Lanyon Fleming
Jose Posada
Joshua Lemmon
Stephen R Pfohl
Nigam Shah
Jason Fries
Lillian Sung
Temas:
Logistic regression
Robustness (evolution)
Receiver operating characteristic
Transformer
Computer science
Artificial intelligence
Statistics
Machine learning
Medicine
Mathematics
Engineering
Biochemistry
Chemistry
Voltage
Electrical engineering
Gene
Publicado: 2023
Citaciones:
29
Altmétricas:
0
Artículo de revista
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare
Acceso Abierto
Fuente: BMC Medical Informatics and Decision Making
Lin (Lawrence) Guo
Keith Morse
Catherine Aftandilian
Ethan Steinberg
Jason Fries
Jose Posada
Scott Lanyon Fleming
Joshua Lemmon
Karim Jessa
Nigam Shah
Mostrar todos
Temas:
Medicine
Health informatics
Context (archaeology)
Confidence interval
Medical diagnosis
Odds ratio
Gold standard (test)
Diagnostic odds ratio
Concordance
Kappa
Internal medicine
Pediatrics
Emergency medicine
Public health
Pathology
Linguistics
Philosophy
Paleontology
Biology
Publicado: 2024
Citaciones:
8
Altmétricas:
0
Artículo de revista
Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study
Acceso Abierto
Fuente: JMIR Medical Informatics
Natasha Alexander
Catherine Aftandilian
Lin (Lawrence) Guo
Erin Plenert
Jose Posada
Jason Fries
Scott Lanyon Fleming
Alistair Ew Johnson
Nigam Shah
Lillian Sung
Temas:
Implementation
Workload
Qualitative research
Machine learning
Health care
Medicine
Qualitative property
Computer science
Artificial intelligence
Medical education
Social science
Sociology
Economics
Programming language
Economic growth
Operating system
Publicado: 2022
Citaciones:
7
Altmétricas:
0
Artículo de revista
Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine
Acceso Cerrado
Fuente: Methods of Information in Medicine
Joshua Lemmon
Lin (Lawrence) Guo
Jose Posada
Stephen R Pfohl
Jason Fries
Scott Lanyon Fleming
Catherine Aftandilian
Nigam Shah
Lillian Sung
Temas:
Feature selection
Logistic regression
Artificial intelligence
Computer science
Oracle
Feature (linguistics)
Machine learning
Predictive modelling
Model selection
Feature engineering
Statistics
Deep learning
Mathematics
Linguistics
Philosophy
Software engineering
Publicado: 2023
Citaciones:
6
Altmétricas:
0
Artículo de revista
A multi-center study on the adaptability of a shared foundation model for electronic health records
Acceso Abierto
Fuente: npj Digital Medicine
Lin (Lawrence) Guo
Jason Fries
Ethan Steinberg
Scott Lanyon Fleming
Keith Morse
Catherine Aftandilian
Jose Posada
Nigam Shah
Lillian Sung
Temas:
Adaptability
Computer science
Modular design
Artificial intelligence
Machine learning
Foundation (evidence)
Robustness (evolution)
Scalability
Medical record
Usability
Task (project management)
Medicine
Human–computer interaction
Engineering
Database
Chemistry
Archaeology
History
Ecology
Biochemistry
Radiology
Systems engineering
Gene
Biology
Operating system
Publicado: 2024
Citaciones:
5
Altmétricas:
0
Artículo de revista
EHR Foundation Models Improve Robustness in the Presence of Temporal Distribution Shift
Acceso Abierto
Fuente: medRxiv (Cold Spring Harbor Laboratory)
Lin (Lawrence) Guo
Ethan Steinberg
Scott Lanyon Fleming
Jose Posada
Joshua Lemmon
Stephen R Pfohl
Nigam Shah
Jason Fries
Lillian Sung
Temas:
Logistic regression
Robustness (evolution)
Receiver operating characteristic
Computer science
Artificial intelligence
Transformer
Machine learning
Statistics
Mathematics
Engineering
Biochemistry
Chemistry
Voltage
Electrical engineering
Gene
Publicado: 2022
Citaciones:
4
Altmétricas:
0
Artículo de revista
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks
Acceso Abierto
Fuente: Journal of the American Medical Informatics Association
Joshua Lemmon
Lin (Lawrence) Guo
Ethan Steinberg
Keith Morse
Scott Lanyon Fleming
Catherine Aftandilian
Stephen R Pfohl
Jose Posada
Nigam Shah
Jason Fries
Mostrar todos
Temas:
Logistic regression
Medicine
Receiver operating characteristic
Retrospective cohort study
Cohort
Electronic health record
Machine learning
Emergency medicine
Internal medicine
Health care
Computer science
Economics
Economic growth
Publicado: 2023
Citaciones:
4
Altmétricas:
0
Artículo de revista
1
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