Jonathan H. Chen | DeepAI

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∙ 08/27/2023

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

The ability of large language models (LLMs) to follow natural language i...

0 Scott L. Fleming, et al. ∙

∙ 08/13/2023

Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine

One of the major barriers to using large language models (LLMs) in medic...

0 Thomas Savage, et al. ∙

∙ 04/26/2023

Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery

Despite growing interest in using large language models (LLMs) in health...

0 Debadutta Dash, et al. ∙

∙ 03/11/2023

DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record

Machine learning (ML) applications in healthcare are extensively researc...

0 Conor K. Corbin, et al. ∙

∙ 09/15/2022

Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection

When evaluating the performance of clinical machine learning models, one...

0 Conor K. Corbin, et al. ∙

∙ 04/30/2022

Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality

Background. Pre-operative risk assessments used in clinical practice are...

0 David Ouyang, et al. ∙

∙ 07/23/2020

Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles

The growing demand for key healthcare resources such as clinical experti...

0 Morteza Noshad, et al. ∙

∙ 01/08/2020

Stratified Pilot Matching in R: The stratamatch Package

In a block-randomized controlled trial, individuals are subdivided by pr...

0 Rachael C. Aikens, et al. ∙

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