Explainable prediction of medical codes from clinical text
Clinical notes are text documents that are created by clinicians for each patient encounter.
They are typically accompanied by medical codes, which describe the diagnosis and …
They are typically accompanied by medical codes, which describe the diagnosis and …
Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts
A Serpa Neto, RO Deliberato, AEW Johnson… - Intensive care …, 2018 - Springer
Purpose Mechanical power (MP) may unify variables known to be related to development of
ventilator-induced lung injury. The aim of this study is to examine the association between …
ventilator-induced lung injury. The aim of this study is to examine the association between …
Transformer hawkes process
Modern data acquisition routinely produce massive amounts of event sequence data in
various domains, such as social media, healthcare, and financial markets. These data often …
various domains, such as social media, healthcare, and financial markets. These data often …
An interpretable machine learning model for accurate prediction of sepsis in the ICU
Objectives: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in
critically ill patients. Early intervention with antibiotics improves survival in septic patients …
critically ill patients. Early intervention with antibiotics improves survival in septic patients …
Integrated multimodal artificial intelligence framework for healthcare applications
Artificial intelligence (AI) systems hold great promise to improve healthcare over the next
decades. Specifically, AI systems leveraging multiple data sources and input modalities are …
decades. Specifically, AI systems leveraging multiple data sources and input modalities are …
Bias mitigation for machine learning classifiers: A comprehensive survey
This article provides a comprehensive survey of bias mitigation methods for achieving
fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning …
fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning …
Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network
G Slapničar, N Mlakar, M Luštrek - Sensors, 2019 - mdpi.com
Blood pressure (BP) is a direct indicator of hypertension, a dangerous and potentially deadly
condition. Regular monitoring of BP is thus important, but many people have aversion …
condition. Regular monitoring of BP is thus important, but many people have aversion …
Large language models are few-shot health learners
Large language models (LLMs) can capture rich representations of concepts that are useful
for real-world tasks. However, language alone is limited. While existing LLMs excel at text …
for real-world tasks. However, language alone is limited. While existing LLMs excel at text …
[HTML][HTML] Multibench: Multiscale benchmarks for multimodal representation learning
Learning multimodal representations involves integrating information from multiple
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …
Differentially private generative adversarial network
Generative Adversarial Network (GAN) and its variants have recently attracted intensive
research interests due to their elegant theoretical foundation and excellent empirical …
research interests due to their elegant theoretical foundation and excellent empirical …