[HTML][HTML] Heart murmur detection from phonocardiogram recordings: The george b. moody physionet challenge 2022

MA Reyna, Y Kiarashi, A Elola, J Oliveira… - PLOS Digital …, 2023 - journals.plos.org
Cardiac auscultation is an accessible diagnostic screening tool that can help to identify
patients with heart murmurs, who may need follow-up diagnostic screening and treatment for …

[HTML][HTML] Timing of antibiotic therapy in the ICU

MH Kollef, AF Shorr, M Bassetti, JF Timsit, ST Micek… - Critical Care, 2021 - Springer
Severe or life threatening infections are common among patients in the intensive care unit
(ICU). Most infections in the ICU are bacterial or fungal in origin and require antimicrobial …

Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020

EAP Alday, A Gu, AJ Shah, C Robichaux… - Physiological …, 2020 - iopscience.iop.org
Objective: Vast 12-lead ECGs repositories provide opportunities to develop new machine
learning approaches for creating accurate and automatic diagnostic systems for cardiac …

Neural controlled differential equations for irregular time series

P Kidger, J Morrill, J Foster… - Advances in Neural …, 2020 - proceedings.neurips.cc
Neural ordinary differential equations are an attractive option for modelling temporal
dynamics. However, a fundamental issue is that the solution to an ordinary differential …

[HTML][HTML] Explainable AI for clinical and remote health applications: a survey on tabular and time series data

F Di Martino, F Delmastro - Artificial Intelligence Review, 2023 - Springer
Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …

Graph-guided network for irregularly sampled multivariate time series

X Zhang, M Zeman, T Tsiligkaridis, M Zitnik - arXiv preprint arXiv …, 2021 - arxiv.org
In many domains, including healthcare, biology, and climate science, time series are
irregularly sampled with varying time intervals between successive readouts and different …

[HTML][HTML] Early prediction of sepsis in the ICU using machine learning: a systematic review

M Moor, B Rieck, M Horn, CR Jutzeler… - Frontiers in …, 2021 - frontiersin.org
Background: Sepsis is among the leading causes of death in intensive care units (ICUs)
worldwide and its recognition, particularly in the early stages of the disease, remains a …

[HTML][HTML] Immune deregulation in sepsis and septic shock: reversing immune paralysis by targeting PD-1/PD-L1 pathway

Y Nakamori, EJ Park, M Shimaoka - Frontiers in immunology, 2021 - frontiersin.org
Sepsis remains a major problem for human health worldwide, thereby manifesting high rates
of morbidity and mortality. Sepsis, once understood as a monophasic sustained …

Artificial intelligence and heart failure: A state‐of‐the‐art review

MS Khan, MS Arshad, SJ Greene… - European Journal of …, 2023 - Wiley Online Library
Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …

Set functions for time series

M Horn, M Moor, C Bock, B Rieck… - … on Machine Learning, 2020 - proceedings.mlr.press
Despite the eminent successes of deep neural networks, many architectures are often hard
to transfer to irregularly-sampled and asynchronous time series that commonly occur in real …