Alexander Charney
Orcid: 0000-0001-8135-6858
According to our database1,
Alexander Charney
authored at least 17 papers
between 2021 and 2025.
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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
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