Using Machine Learning to Identify People With Long COVID

Researchers started by examining the records of patients at three of the 59 sites that N3C gathered data from — about 100,000 people who had ...

Machine learning identifies long COVID patterns from electronic ...

A machine learning algorithm identifies four reproducible clinical subphenotypes of long COVID from the electronic health records of patients with post-acute ...

A machine learning approach using N3C data

RECOVER researchers wanted to learn if a computer program could identify if people have Long COVID based on electronic health records (EHRs).

Identifying who has long COVID in the USA: a machine learning ...

We used data on these features and 597 patients from a long COVID clinic to train three machine learning models to identify potential long COVID ...

Scientists Use Machine Learning to Better Identify Long Covid

An NIH-supported research team identified characteristics of people with long Covid and those likely to have it. Using machine learning ...

Scientists Use Machine Learning Models to Help Identify Long ...

The models proved to be accurate in identifying potential long COVID patients, achieving areas under the receiver operator characteristic curve, ...

Crowd-sourced machine learning prediction of long COVID using ...

As a result of L3C, federal reviewers identified multiple machine learning models that can be used to identify patients at risk for developing Long COVID. Many ...

Machine Learning Tackles Long COVID - Berkeley Lab News Center

“We compare all symptoms for the pair of the patients in this way, and get a score of how similar the two long COVID patients are. We can ...

New Medical AI Tool Identifies More Cases of Long COVID From ...

Mass General Brigham researchers developed an AI algorithm to unveil the elusive traces of long COVID in patients' health records using ...

Scientists use machine learning models to help identify long COVID ...

The models proved to be accurate in identifying potential long-COVID patients, achieving areas under the receiver operator characteristic curve, ...

A survey on the role of artificial intelligence in managing Long COVID

In this context, artificial intelligence techniques have been utilized to analyze data from Long COVID patients in order to assist doctors and ...

Northeastern Researchers Use Machine Learning to Identify Long ...

In analyzing the glut of patient data, which also included 597 patients from long COVID clinics, researchers trained three machine learning ...

Identifying who has long COVID in the USA: a machine learning ...

Methods: Using the National COVID Cohort Collaborative's (N3C) electronic health record repository, we developed XGBoost machine learning models to identify ...

Comprehensively identifying Long Covid articles with human-in-the ...

We developed an iterative human-in-the-loop machine learning framework combining data programming with active learning into a robust ensemble ...

A Machine Learning Approach to Identifying Risk Factors for Long ...

Given the large number and variety of predictors implicated spanning health-related and sociodemographic factors, machine learning becomes a valuable tool. As ...

Q&A: Machine learning models identify patients with long COVID

NIH researchers using machine learning models identified key characteristics of people who have or likely have long COVID.

Researchers test the power of machine learning to study long Covid

That effort is still a work in progress. The team's first stab at building an algorithm that could identify long Covid patients, released in a ...

Identification of long COVID patients through machine learning

Researchers developed a machine learning approach to identify patients with long coronavirus disease.

New Machine-Learning Model Identifies Long COVID Subtypes

A newly developed machine-learning tool uses EHR data to find common symptoms among people with long COVID and identify condition subtypes.

Machine Learning Models Accurately Identify Long COVID Cases

Based on the data provided and search criteria, the machine learning models identified with high accuracy those patients who potentially have ...