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Identifying the onset of emotional stress in older patients with mood disorders and chronic pain is crucial in mental health studies. To this end, studying the associations between passively sensed variables that measure human behaviors and…

Methodology · Statistics 2025-11-11 Younghoon Kim , Sumanta Basu , Samprit Banerjee

We study the problem of predicting rare critical transition events for a class of slow-fast nonlinear dynamical systems. The state of the system of interest is described by a slow process, whereas a faster process drives its evolution and…

Computational Physics · Physics 2020-12-14 Soon Hoe Lim , Ludovico Theo Giorgini , Woosok Moon , J. S. Wettlaufer

Timely transition from intravenous (IV) to oral antibiotic therapy shortens hospital stays, reduces catheter-related infections, and lowers healthcare costs, yet one in five patients in England remain on IV antibiotics despite meeting…

Machine Learning · Computer Science 2026-03-10 Magnus Ross , Nel Swanepoel , Akish Luintel , Emma McGuire , Ingemar J. Cox , Steve Harris , Vasileios Lampos

Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity, mortality, and cost overruns in the Intensive Care Unit (ICU). Early prediction of sepsis can improve situational awareness amongst…

Machine Learning · Computer Science 2019-08-14 Supreeth P. Shashikumar , Christopher Josef , Ashish Sharma , Shamim Nemati

ICU readmission is associated with longer hospitalization, mortality and adverse outcomes. An early recognition of ICU re-admission can help prevent patients from worse situation and lower treatment cost. As the abundance of Electronics…

Machine Learning · Computer Science 2019-10-08 Zhiheng Li , Xinyue Xing , Bingzhang Lu , Zhixiang Li

The early detection of anomalous events in time series data is essential in many domains of application. In this paper we deal with critical health events, which represent a significant cause of mortality in intensive care units of…

Machine Learning · Statistics 2020-10-23 Vitor Cerqueira , Luis Torgo , Carlos Soares

Extensive bedside monitoring in Intensive Care Units (ICUs) has resulted in complex temporal data regarding patient physiology, which presents an upscale context for clinical data analysis. In the other hand, identifying the time-series…

Machine Learning · Computer Science 2023-08-25 Manel Mili , Asma Kerkeni , Asma Ben Abdallah , Mohamed Hedi Bedoui

There are significant regional inequities in health resources around the world. It has become one of the most focused topics to improve health services for data-scarce hospitals and promote health equity through knowledge sharing among…

Machine Learning · Computer Science 2023-03-07 Ruiqing Ding , Fangjie Rong , Xiao Han , Leye Wang

A tipping point can be defined as an abrupt shift in the properties or behaviour of a system. Tipping points in complex systems from a wide variety of scientific disciplines have been compared to phase transitions in physics, but consistent…

Physics and Society · Physics 2023-02-28 Marieke M. Glazenburg , Luca Consoli , Alix McCollam

Anticipating bifurcation-induced transitions in dynamical systems has gained relevance in various fields of the natural, social, and economic sciences. Before the annihilation of a system's equilibrium point by means of a bifurcation, the…

Dynamical Systems · Mathematics 2024-09-06 Andreas Morr , Keno Riechers , Leonardo Rydin Gorjão , Niklas Boers

Patient monitoring is vital in all stages of care. We here report the development and validation of ICU length of stay and mortality prediction models. The models will be used in an intelligent ICU patient monitoring module of an…

Machine Learning · Computer Science 2021-05-11 Khalid Alghatani , Nariman Ammar , Abdelmounaam Rezgui , Arash Shaban-Nejad

Abrupt shifts in ecosystems, brains, markets, and climate are often diagnosed as signs of approaching a tipping point, i.e. a critical bifurcation where stability is lost. Here we reveal a broader and more deceptive mechanism:…

Chaotic Dynamics · Physics 2025-10-06 Virgile Troude , Sandro Claudio Lera , Ke Wu , Didier Sornette

Sepsis is a life-threatening condition defined by end-organ dysfunction due to a dysregulated host response to infection. Although the Surviving Sepsis Campaign has launched and has been releasing sepsis treatment guidelines to unify and…

Machine Learning · Computer Science 2024-11-20 Hyewon Jeong , Siddharth Nayak , Taylor Killian , Sanjat Kanjilal

Purpose. Elevations in initially obtained serum lactate levels are strong predictors of mortality in critically ill patients. Identifying patients whose serum lactate levels are more likely to increase can alert physicians to intensify care…

Quantitative Methods · Quantitative Biology 2021-07-19 Behrooz Mamandipoor , Wesley Yeung , Louis Agha-Mir-Salim , David J. Stone , Venet Osmani , Leo Anthony Celi

Apnea-bradycardia is one of the major clinical early indicators of late-onset sepsis occurring in approximately 7% to 10% of all neonates and in more than 25% of very low birth weight infants in NICU. The objective of this paper was to…

Quantitative Methods · Quantitative Biology 2016-05-18 Yuan Wang , Guy Carrault , Alain Beuchee , Nathalie Costet , Huazhong Shu , Lotfi Senhadji

Sepsis accounts for more than 50% of hospital deaths, and the associated cost ranks the highest among hospital admissions in the US. Improved understanding of disease states, severity, and clinical markers has the potential to significantly…

Quantitative Methods · Quantitative Biology 2022-10-11 Chih-Hao Fang , Vikram Ravindra , Salma Akhter , Mohammad Adibuzzaman , Paul Griffin , Shankar Subramaniam , Ananth Grama

Although timely sepsis diagnosis and prompt interventions in Intensive Care Unit (ICU) patients are associated with reduced mortality, early clinical recognition is frequently impeded by non-specific signs of infection and failure to detect…

Machine Learning · Computer Science 2018-06-28 Tony Wang , Tom Velez , Emilia Apostolova , Tim Tschampel , Thuy L. Ngo , Joy Hardison

Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accurate treatment decisions can significantly impact patient outcomes. In this work, we propose an interpretable decision support framework.…

Machine Learning · Computer Science 2026-01-21 Punit Kumar , Vaibhav Saran , Divyesh Patel , Nitin Kulkarni , Alina Vereshchaka

In recent years, medical information technology has made it possible for electronic health record (EHR) to store fairly complete clinical data. This has brought health care into the era of "big data". However, medical data are often sparse…

Machine Learning · Computer Science 2023-06-06 Weizhi Nie , Yuhe Yu , Chen Zhang , Dan Song , Lina Zhao , Yunpeng Bai

Critically ill patients in regular wards are vulnerable to unanticipated adverse events which require prompt transfer to the intensive care unit (ICU). To allow for accurate prognosis of deteriorating patients, we develop a novel…

Machine Learning · Computer Science 2017-05-16 Ahmed M. Alaa , Scott Hu , Mihaela van der Schaar