Deterioration Prediction

Deterioration prediction focuses on accurately forecasting the decline of a system's functionality over time, whether it's a patient's cognitive abilities, a bridge's structural integrity, or a patient's health status in an emergency setting. Current research heavily utilizes machine learning, employing algorithms like gradient boosting, survival transformers, and elastic net, often incorporating multimodal data sources (e.g., vital signs, medical images, genetic information) to improve prediction accuracy. These advancements hold significant promise for improving healthcare through earlier interventions and personalized treatment, as well as optimizing infrastructure maintenance and resource allocation. The development of robust, data-driven models is crucial for enhancing decision-making across various domains.

Papers

September 24, 2024

Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling
Henry Musto, Daniel Stamate, Doina Logofatu, Daniel Stahl
Mild Cognitive Impairment Cognitive Decline Extreme Gradient Boosting Cox Model Dementia Risk Deterioration Prediction

July 25, 2024

MDS-ED: Multimodal Decision Support in the Emergency Department -- a Benchmark Dataset for Diagnoses and Deterioration Prediction in Emergency Medicine
Juan Miguel Lopez Alcaraz, Hjalmar Bouma, Nils Strodthoff
New Benchmark Benchmark Dataset Emergency Department Multimodal Diagnosis Multimodal Decision Medical Decision Deterioration Prediction

June 17, 2023

A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease
Henry Musto, Daniel Stamate, Ida Pu, Daniel Stahl
Machine Learning Alzheimer'S Disease Common Disease Machine Learning Approach Gradient Boosting Mild Cognitive Impairment Disease Neuroimaging Initiative Deterioration Prediction

October 12, 2022

Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients
Sarmad Mehrdad, Farah E. Shamout, Yao Wang, S. Farokh Atashzar
Prognostic Model Vital Sign Covid 19 Patient Deterioration Prediction

January 20, 2022

OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges
Zachary Hamida, Blanche Laurent, James-A. Goulet
Mixed Effect Steel Bridge Document Degradation Deterioration Prediction

Deterioration Prediction

Papers

Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling

MDS-ED: Multimodal Decision Support in the Emergency Department -- a Benchmark Dataset for Diagnoses and Deterioration Prediction in Emergency Medicine

A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease

Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients

OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges