[HTML][HTML] Heart murmur detection from phonocardiogram recordings: The george b. moody physionet challenge 2022
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 …
patients with heart murmurs, who may need follow-up diagnostic screening and treatment for …
[HTML][HTML] Timing of antibiotic therapy in the ICU
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 …
(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
Objective: Vast 12-lead ECGs repositories provide opportunities to develop new machine
learning approaches for creating accurate and automatic diagnostic systems for cardiac …
learning approaches for creating accurate and automatic diagnostic systems for cardiac …
Neural controlled differential equations for irregular time series
Neural ordinary differential equations are an attractive option for modelling temporal
dynamics. However, a fundamental issue is that the solution to an ordinary differential …
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 …
healthcare applications, both clinical and remote, but the best performing AI systems are …
Graph-guided network for irregularly sampled multivariate time series
In many domains, including healthcare, biology, and climate science, time series are
irregularly sampled with varying time intervals between successive readouts and different …
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
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 …
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 …
of morbidity and mortality. Sepsis, once understood as a monophasic sustained …
Artificial intelligence and heart failure: A state‐of‐the‐art review
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 …
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …
Set functions for time series
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 …
to transfer to irregularly-sampled and asynchronous time series that commonly occur in real …