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Related papers: Early ICU Mortality Prediction and Survival Analys…

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Intensive care unit (ICU) data are highly irregular, heterogeneous, and temporally fragmented, posing challenges for generalizable clinical prediction. We present PULSE-ICU, a self-supervised foundation model that learns event-level ICU…

Machine Learning · Computer Science 2025-12-01 Sejeong Jang , Joo Heung Yoon , Hyo Kyung Lee

Extremely preterm infants commonly require intubation and invasive mechanical ventilation after birth. While the duration of mechanical ventilation should be minimized in order to avoid complications, extubation failure is associated with…

Worldwide, many millions of people die suddenly and unexpectedly each year, either with or without a prior history of cardiovascular disease. Such events are sparse (once in a lifetime), many victims will not have had prior investigations…

Machine Learning · Computer Science 2023-09-06 Yola Jones , Fani Deligianni , Jeff Dalton , Pierpaolo Pellicori , John G F Cleland

With COVID-19 now pervasive, identification of high-risk individuals is crucial. Using data from a major healthcare provider in Southwestern Pennsylvania, we develop survival models predicting severe COVID-19 progression. In this endeavor,…

Machine Learning · Computer Science 2022-08-30 Helen Zhou , Cheng Cheng , Kelly J. Shields , Gursimran Kochhar , Tariq Cheema , Zachary C. Lipton , Jeremy C. Weiss

The pressure of ever-increasing patient demand and budget restrictions make hospital bed management a daily challenge for clinical staff. Most critical is the efficient allocation of resource-heavy Intensive Care Unit (ICU) beds to the…

Machine Learning · Computer Science 2021-02-25 Emma Rocheteau , Pietro Liò , Stephanie Hyland

Objective: Current resuscitation protocols require pausing chest compressions during cardiopulmonary resuscitation (CPR) to check for a pulse. However, pausing CPR during a pulseless rhythm can worsen patient outcome. Our objective is to…

Signal Processing · Electrical Eng. & Systems 2020-08-06 Diya Sashidhar , Heemun Kwok , Jason Coult , Jen Blackwood , Peter Kudenchuck , Shiv Bhandari , Thomas Rea , J. Nathan Kutz

The case fatality ratio (CFR) for COVID-19 is difficult to estimate. One difficulty is due to ignoring or overestimating time delay between reporting and death. We claim that all of these cause large errors and artificial time dependence of…

Populations and Evolution · Quantitative Biology 2020-07-02 Phoebus Rosakis , Maria Marketou

Sepsis is a condition caused by the body's overwhelming and life-threatening response to infection, which can lead to tissue damage, organ failure, and finally death. Common signs and symptoms include fever, increased heart rate, increased…

Machine Learning · Computer Science 2017-09-07 Eitam Sheetrit , Nir Nissim , Denis Klimov , Lior Fuchs , Yuval Elovici , Yuval Shahar

Antimicrobial resistance (AMR) is a risk for patients and a burden for the healthcare system. However, AMR assays typically take several days. This study develops predictive models for AMR based on easily available clinical and…

Traumatic Brain Injury (TBI) is a major contributor to mortality among older adults, with geriatric patients facing disproportionately high risk due to age-related physiological vulnerability and comorbidities. Early and accurate prediction…

Quantitative Methods · Quantitative Biology 2025-05-23 Yong Si , Junyi Fan , Li Sun , Shuheng Chen , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

We predict mechanical ventilation requirement and mortality using computational modeling of chest radiographs (CXRs) for coronavirus disease 2019 (COVID-19) patients. This two-center, retrospective study analyzed 530 deidentified CXRs from…

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease that causes obstructed airflow from the lungs. In the United States, more than 15.7 million Americans have been diagnosed with COPD, with 96% of individuals…

Machine Learning · Computer Science 2024-09-06 Negar Orangi-Fard

Mental disorders impact the lives of millions of people globally, not only impeding their day-to-day lives but also markedly reducing life expectancy. This paper addresses the persistent challenge of predicting mortality in patients with…

Machine Learning · Computer Science 2023-10-19 Sean Kim , Samuel Kim

A large percentage of the deaths from COVID-19 occur among residents of long-term care facilities. There are two possible reasons for this phenomenon. First, the structural features of such settings may lead to death. Alternatively, it is…

Physics and Society · Physics 2020-06-29 Neil Gandal , Matan Yonas , Michal Feldman , Ady Pauzner , Avraham Tabbach

The issue of failed weaning is a critical concern in the intensive care unit (ICU) setting. This scenario occurs when a patient experiences difficulty maintaining spontaneous breathing and ensuring a patent airway within the first 48 hours…

Machine Learning · Computer Science 2025-03-05 Hernando Gonzalez , Carlos Julio Arizmendi , Beatriz F. Giraldo

This study aims to determine the demographic, epidemiologic, and clinical characteristics of COVID-19 cases that are highly susceptible to COVID-19 infection, with longer hospitalization and at higher risk of mortality and to provide…

Quantitative Methods · Quantitative Biology 2021-06-08 Roel F. Ceballos

The relative case fatality rates (CFRs) between groups and countries are key measures of relative risk that guide policy decisions regarding scarce medical resource allocation during the ongoing COVID-19 pandemic. In the middle of an active…

Quantitative Methods · Quantitative Biology 2022-12-08 Anastasios Nikolas Angelopoulos , Reese Pathak , Rohit Varma , Michael I. Jordan

As the second wave in India mitigates, COVID-19 has now infected about 29 million patients countrywide, leading to more than 350 thousand people dead. As the infections surged, the strain on the medical infrastructure in the country became…

Machine Learning · Computer Science 2021-10-26 Samarth Bhatia , Yukti Makhija , Sneha Jayaswal , Shalendra Singh , Ishaan Gupta

Myocardial infarction and heart failure are major cardiovascular diseases that affect millions of people in the US. The morbidity and mortality are highest among patients who develop cardiogenic shock. Early recognition of cardiogenic shock…

Objective: Blood transfusions, crucial in managing anemia and coagulopathy in ICU settings, require accurate prediction for effective resource allocation and patient risk assessment. However, existing clinical decision support systems have…