no code implementations • 12 Mar 2024 • Djavan De Clercq, Adam Mahdi
Yield forecasting, the science of predicting agricultural productivity before the crop harvest occurs, helps a wide range of stakeholders make better decisions around agricultural planning.
no code implementations • 9 Mar 2024 • Felix H. Krones, Ben Walker, Guy Parsons, Terry Lyons, Adam Mahdi
This work showcases our team's (The BEEGees) contributions to the 2023 George B. Moody PhysioNet Challenge.
1 code implementation • 5 Mar 2024 • Harry Mayne, Guy Parsons, Adam Mahdi
However, it is unclear whether common patient subgroups exist across different ICUs, which would determine whether ICU restructuring could be operationalised in a standardised manner.
no code implementations • 4 Feb 2024 • Felix Krones, Umar Marikkar, Guy Parsons, Adam Szmul, Adam Mahdi
Machine learning methods in healthcare have traditionally focused on using data from a single modality, limiting their ability to effectively replicate the clinical practice of integrating multiple sources of information for improved decision making.
no code implementations • 13 Nov 2023 • Umar Marikkar, Sara Atito, Muhammad Awais, Adam Mahdi
Vision Transformers (ViTs) are widely adopted in medical imaging tasks, and some existing efforts have been directed towards vision-language training for Chest X-rays (CXRs).
no code implementations • 11 Oct 2023 • Andrew M. Bean, Karolina Korgul, Felix Krones, Robert McCraith, Adam Mahdi
For each question, we score each model on the top-1 accuracy and the distribution of probabilities assigned.
1 code implementation • Computing in Cardiology 2022 • Benjamin Walker, Felix Krones, Ivan Kiskin, Guy Parsons, Terry Lyons, Adam Mahdi
The second model is the output of DBRes integrated with demographic data and signal features using XGBoost. DBRes achieved our best weighted accuracy of $0. 771$ on the hidden test set for murmur classification, which placed us fourth for the murmur task.
Ranked #1 on Classify murmurs on CirCor DigiScope
no code implementations • 26 Apr 2022 • Piotr Błaszczyk, Konrad Klimczak, Adam Mahdi, Piotr Oprocha, Paweł Potorski, Paweł Przybyłowicz, Michał Sobieraj
We propose a novel methodology for estimating the epidemiological parameters of a modified SIRD model (acronym of Susceptible, Infected, Recovered and Deceased individuals) and perform a short-term forecast of SARS-CoV-2 virus spread.
1 code implementation • 2017 Computing in Cardiology (CinC) 2017 • Fernando Andreotti, Oliver Carr, Marco A. F. Pimentel, Adam Mahdi, Maarten De Vos
Similarly, the convolutional neural network scored 72. 1% on the augmented database and 83% on the test set.