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Existing Intensive Care Unit (ICU) delirium prediction models do not consider environmental factors despite strong evidence of their influence on delirium. This study reports the first deep-learning based delirium prediction model for ICU…

For severely affected COVID-19 patients, it is crucial to identify high-risk patients and predict survival and need for intensive care (ICU). Most of the proposed models are not well reported making them less reproducible and prone to high…

Machine Learning · Computer Science 2024-03-29 Mahbubunnabi Tamala , Mohammad Marufur Rahmanb , Maryam Alhasimc , Mobarak Al Mulhimd , Mohamed Derichee

Despite the importance of closely monitoring patients in the Intensive Care Unit (ICU), many aspects are still assessed in a limited manner due to the time constraints imposed on healthcare providers. For example, although excessive…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Scott Siegel , Jiaqing Zhang , Sabyasachi Bandyopadhyay , Subhash Nerella , Brandon Silva , Tezcan Baslanti , Azra Bihorac , Parisa Rashidi

The acuity state of patients in the intensive care unit (ICU) can quickly change from stable to unstable. Early detection of deteriorating conditions can result in providing timely interventions and improved survival rates. In this study,…

Dementia is a neurodegenerative disorder that causes cognitive decline and affects more than 50 million people worldwide. Dementia is under-diagnosed by healthcare professionals - only one in four people who suffer from dementia are…

Intensive care clinicians need reliable clinical practice tools to preempt unexpected critical events that might harm their patients in intensive care units (ICU), to pre-plan timely interventions, and to keep the patient's family well…

Currently, many critical care indices are repetitively assessed and recorded by overburdened nurses, e.g. physical function or facial pain expressions of nonverbal patients. In addition, many essential information on patients and their…

The association between preoperative cognitive status and surgical outcomes is a critical, yet scarcely explored area of research. Linking intraoperative data with postoperative outcomes is a promising and low-cost way of evaluating…

With the improvement of medical data capturing, vast amount of continuous patient monitoring data, e.g., electrocardiogram (ECG), real-time vital signs and medications, become available for clinical decision support at intensive care units…

Machine Learning · Computer Science 2018-07-25 Yanbo Xu , Siddharth Biswal , Shriprasad R Deshpande , Kevin O Maher , Jimeng Sun

Early identification of patients at risk for clinical deterioration in the intensive care unit (ICU) remains a critical challenge. Delayed recognition of impending adverse events, including mortality, vasopressor initiation, and mechanical…

Machine Learning · Computer Science 2026-03-17 Binesh Sadanandan

Elderly ICU patients with coexisting diabetes mellitus and heart failure experience markedly elevated short-term mortality, yet few predictive models are tailored to this high-risk group. Diabetes mellitus affects nearly 30% of U.S. adults…

Applications · Statistics 2025-06-19 Junyi Fan , Shuheng Chen , Li Sun , Yong Si , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the brain parenchyma. ICU readmission in ICH patients is a critical outcome, reflecting both clinical severity and resource utilization. Accurate…

Machine Learning · Computer Science 2025-01-03 Shuheng Chen , Junyi Fan , Armin Abdollahi , Negin Ashrafi , Kamiar Alaei , Greg Placencia , Maryam Pishgar

Delirium, an acute confusional state, is a common occurrence in Intensive Care Units (ICUs). Patients who develop delirium have globally worse outcomes than those who do not and thus the diagnosis of delirium is of importance. Current…

Computer Vision and Pattern Recognition · Computer Science 2021-08-04 Ahmed Al-Hindawi , Marcela Paula Vizcaychipi , Yiannis Demiris

Delirium occurs in about 80% cases in the Intensive Care Unit (ICU) and is associated with a longer hospital stay, increased mortality and other related issues. Delirium does not have any biomarker-based diagnosis and is commonly treated…

Machine Learning · Computer Science 2022-05-03 Riddhiman Adib , Md Osman Gani , Sheikh Iqbal Ahamed , Mohammad Adibuzzaman

Heart attack remain one of the greatest contributors to mortality in the United States and globally. Patients admitted to the intensive care unit (ICU) with diagnosed heart attack (myocardial infarction or MI) are at higher risk of death.…

Machine Learning · Computer Science 2023-05-11 Munib Mesinovic , Peter Watkinson , Tingting Zhu

Dementia related cognitive impairment (CI) is a neurodegenerative disorder, affecting over 55 million people worldwide and growing rapidly at the rate of one new case every 3 seconds. 75% cases go undiagnosed globally with up to 90% in…

The COVID-19 pandemic has had a considerable impact on day-to-day life. Tackling the disease by providing the necessary resources to the affected is of paramount importance. However, estimation of the required resources is not a trivial…

Image and Video Processing · Electrical Eng. & Systems 2022-05-11 Sai Vidyaranya Nuthalapati , Marcela Vizcaychipi , Pallav Shah , Piotr Chudzik , Chee Hau Leow , Paria Yousefi , Ahmed Selim , Keiran Tait , Ben Irving

Objective: Atrial fibrillation (AF) is the most common cardiac arrhythmia experienced by intensive care unit (ICU) patients and can cause adverse health effects. In this study, we publish a labelled ICU dataset and benchmarks for AF…

A stroke is defined as a neurologic deficit arising from an interruption in blood supply to the brain. According to the World Health Organization, over 15 million people suffer from strokes annually, of which almost 70% die or are…

Quantitative Methods · Quantitative Biology 2022-03-29 Rohan Kalahasty , Lakshmi Sritan Motati

Predicting whether an individual's depressive symptoms will worsen, remain stable, or improve over the coming weeks can enable earlier and more targeted care, yet prospective within-person trajectory prediction remains largely unaddressed…

Human-Computer Interaction · Computer Science 2026-04-28 Merve Cerit , Andrea Mock , Vryan Almanon Feliciano , Thomas N. Robinson , Byron Reeves , Nilam Ram , Nick Haber