Alexander Charney

Orcid: 0000-0001-8135-6858

According to our database1, Alexander Charney authored at least 17 papers between 2021 and 2025.

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

Timeline

2021
2022
2023
2024
2025
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10
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model.
J. Am. Medical Informatics Assoc., 2025

2024
A strategy for cost-effective large language model use at health system-scale.
npj Digit. Medicine, 2024

Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population.
npj Digit. Medicine, 2024

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension.
npj Digit. Medicine, 2024

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.
J. Am. Medical Informatics Assoc., 2024

Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study.
CoRR, 2024

The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes.
CoRR, 2024

Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model.
CoRR, 2024

Generative Large Language Models are autonomous practitioners of evidence-based medicine.
CoRR, 2024

A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19.
Artif. Intell. Medicine, 2024

2023
A foundational vision transformer improves diagnostic performance for electrocardiograms.
npj Digit. Medicine, 2023

Clinical Text Deduplication Practices for Efficient Pretraining and Improved Clinical Tasks.
CoRR, 2023

An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets.
CoRR, 2023

Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn).
Proceedings of the Machine Learning for Healthcare Conference, 2023

2022
Autoencoders for sample size estimation for fully connected neural network classifiers.
npj Digit. Medicine, 2022

HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes.
CoRR, 2022

2021
Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021


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