1 citations · 2 across the 3 of their papers we have counts for
4 papers
Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representations
Óscar Escudero-Arnanz, Antonio G. Marques, Inmaculada Mora-Jiménez +2
Background and Objectives: Multidrug Resistance (MDR) is a critical global health issue, causing increased hospital stays, healthcare costs, and mortality. This study proposes an i…
Explainable Artificial Intelligence Techniques for Irregular Temporal Classification of Multidrug Resistance Acquisition in Intensive Care Unit Patients
Óscar Escudero-Arnanz, Cristina Soguero-Ruiz, Joaquín Álvarez-Rodríguez +1
Antimicrobial Resistance represents a significant challenge in the Intensive Care Unit (ICU), where patients are at heightened risk of Multidrug-Resistant (MDR) infections-pathogen…
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series
Sergio Martínez-Agüero, Antonio G. Marques, Inmaculada Mora-Jiménez +2
Electronic health records (EHR) is an inherently multimodal register of the patient's health status characterized by static data and multivariate time series (MTS). While MTS are a…
Predicting Clinical Deterioration in Hospitals
Laleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein +1
Responding rapidly to a patient who is demonstrating signs of imminent clinical deterioration is a basic tenet of patient care. This gave rise to a patient safety intervention phil…