Benchmarking emergency department prediction models with machine learning and public electronic health records
The demand for emergency department (ED) services is increasing across the globe,
particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have …
particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have …
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
E Nasarian, R Alizadehsani, UR Acharya, KL Tsui - Information Fusion, 2024 - Elsevier
Background Artificial intelligence (AI)-based medical devices and digital health
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …
Development and validation of a Machine Learning Risk-Prediction Model for 30 Day Readmission for Heart Failure following Transcatheter Aortic Valve Replacement …
Background Transcatheter aortic valve replacement (TAVR) is the treatment of choice for
patients with severe aortic stenosis across the spectrum of surgical risk. About one-third of …
patients with severe aortic stenosis across the spectrum of surgical risk. About one-third of …
Preliminary analysis of explainable machine learning methods for multiple myeloma chemotherapy treatment recognition
N Settouti, M Saidi - Evolutionary Intelligence, 2024 - Springer
The choice of chemotherapy treatment protocol is an important step in the treatment of
multiple myeloma and has a significant impact on the patient's prognosis. In this work, we …
multiple myeloma and has a significant impact on the patient's prognosis. In this work, we …
Identifying clinical features and blood biomarkers associated with mild cognitive impairment in Parkinson disease using machine learning
Background and purpose A broad list of variables associated with mild cognitive impairment
(MCI) in Parkinson disease (PD) have been investigated separately. However, there is as …
(MCI) in Parkinson disease (PD) have been investigated separately. However, there is as …
Development and validation of prognostic machine learning models for short-and long-term mortality among acutely admitted patients based on blood tests
BN Jawad, SM Shaker, I Altintas, J Eugen-Olsen… - Scientific Reports, 2024 - nature.com
Several scores predicting mortality at the emergency department have been developed.
However, all with shortcomings either simple and applicable in a clinical setting, with poor …
However, all with shortcomings either simple and applicable in a clinical setting, with poor …
Using an interpretable amino acid-based machine learning method to enhance the diagnosis of major depressive disorder
Background: Major depressive disorder (MDD) is a leading cause of disability worldwide. At
present, however, there are no established biomarkers that have been validated for …
present, however, there are no established biomarkers that have been validated for …
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
The escalating integration of machine learning in high-stakes fields such as healthcare
raises substantial concerns about model fairness. We propose an interpretable framework …
raises substantial concerns about model fairness. We propose an interpretable framework …
Shapley variable importance cloud for machine learning models
Current practice in interpretable machine learning often focuses on explaining the final
model trained from data, eg, by using the Shapley additive explanations (SHAP) method …
model trained from data, eg, by using the Shapley additive explanations (SHAP) method …
A systematic review of prediction models on arteriovenous fistula: Risk scores and machine learning approaches
L Meng, P Ho - The Journal of Vascular Access, 2024 - journals.sagepub.com
Objective: Failure-to-mature and early stenosis remains the Achille's heel of hemodialysis
arteriovenous fistula (AVF) creation. The maturation and patency of an AVF can be …
arteriovenous fistula (AVF) creation. The maturation and patency of an AVF can be …