Scott L. Fleming

Orcid: 0000-0002-6047-7877

According to our database1, Scott L. Fleming authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare.
BMC Medical Informatics Decis. Mak., December, 2024

A multi-center study on the adaptability of a shared foundation model for electronic health records.
npj Digit. Medicine, 2024


2023
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.
J. Am. Medical Informatics Assoc., November, 2023

The shaky foundations of large language models and foundation models for electronic health records.
npj Digit. Medicine, 2023

Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific Literature.
CoRR, 2023

The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs.
CoRR, 2023

2022
Considerations in the reliability and fairness audits of predictive models for advance care planning.
Frontiers Digit. Health, 2022

2021
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.
Appl. Clin. Inform., 2021

Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Assessing the accuracy of automatic speech recognition for psychotherapy.
npj Digit. Medicine, 2020

Trove: Ontology-driven weak supervision for medical entity classification.
CoRR, 2020

2019
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare.
CoRR, 2019


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