Search Results for author: John Marshall

Found 3 papers, 1 papers with code

Privacy Aware Question-Answering System for Online Mental Health Risk Assessment

no code implementations9 Jun 2023 Prateek Chhikara, Ujjwal Pasupulety, John Marshall, Dhiraj Chaurasia, Shweta Kumari

Pre-trained Language Models (LMs) can assess users' social media data and classify them in terms of their mental health risk.

Question Answering

Replacing the Framingham-based equation for prediction of cardiovascular disease risk and adverse outcome by using artificial intelligence and retinal imaging

no code implementations17 Jul 2022 Ehsan Vaghefi, David Squirrell, Songyang An, Song Yang, John Marshall

Purpose: To create and evaluate the accuracy of an artificial intelligence Deep learning platform (ORAiCLE) capable of using only retinal fundus images to predict both an individuals overall 5 year cardiovascular risk (CVD) and the relative contribution of the component risk factors that comprise this risk.

Twelve years of SAMtools and BCFtools

2 code implementations18 Dec 2020 Petr Danecek, James K. Bonfield, Jennifer Liddle, John Marshall, Valeriu Ohan, Martin O Pollard, Andrew Whitwham, Thomas Keane, Shane A. McCarthy, Robert M. Davies, Heng Li

Background SAMtools and BCFtools are widely used programs for processing and analysing high-throughput sequencing data.

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