Results 241 to 250 of about 150,441 (331)

Electrocardiogram-Based Mental Stress Detection Amid Everyday Activities Using Machine Learning: Model Development and Validation Study.

J Med Internet Res
Uendes B, Antonides A, van de Ven S, van der Mee DJ, de Geus E, Hoogendoorn M.   +5 more
europepmc   +1 more source

Hierarchical forecasting of COVID-19 cases in Africa using machine learning models. [PDF]

Front Epidemiol
Shoko C, Sigauke C, Makatjane K.
europepmc   +1 more source

Proteomics of Nitrotyrosine: Integrating Mass Spectrometry and Immunodetection in Redox‐Driven Pathology

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Nitrooxidative stress, driven by excess reactive nitrogen species like peroxynitrite, contributes to the pathogenesis of many chronic diseases. Among its molecular footprints, 3‐nitrotyrosine (3NT) has emerged as a biologically relevant marker of protein nitration.
Brîndușa Alina Petre
wiley   +1 more source

Development and External Validation of Machine Learning Model to Predict Live Birth Following Assisted Reproductive Technology in Women with Ovarian Endometriomas: A Decision-Support Tool. [PDF]

Clin Epidemiol
Sun Y, Wang Z, Zhou J, Cui L, Wang H.
europepmc   +1 more source

The Brain‐Age Gap in Pediatric Dystonia: Neuroanatomical Deviations Inform Deep Brain Stimulation Outcomes

Movement Disorders, EarlyView.
Abstract Background Dystonia in children is a heterogeneous condition with variable response to deep brain stimulation (DBS). Brain‐age gap, a machine learning‐derived metric of structural deviation from norm, may capture signatures that differentiate underlying biotypes and predict outcomes.
Timur H. Latypov, Alexandre Berger, Manuela Mohareb, Karim Mithani, Sara Breitbart, Lindsey M. Vogt, Thiemo Dinger, Inge Meijer, Alexander G. Weil, Alfonso Fasano, Carolina Gorodetsky, George M. Ibrahim   +11 more
wiley   +1 more source

Enhancing intrusion detection in encrypted DoH traffic through a robust ensemble learning framework. [PDF]

PLoS One
Abrahim H, Hou W, Zhuang Y, Rahman HU.
europepmc   +1 more source

A Brainstem Radiomics Framework to Distinguish Progressive Supranuclear Palsy from Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can be clinically challenging. In the neuroimaging field, radiomics has emerged as a promising approach to capture subtle microstructural and textural image alterations, improving differential diagnoses.
Chiara Camastra, Jolanda Buonocore, Antonio Augimeri, Camilla Calomino, Maria Giovanna Bianco, Alessia Sarica, Pier Paolo Arcuri, Aldo Quattrone, Andrea Quattrone   +8 more
wiley   +1 more source

Early Type 2 diabetes risk prediction using explainable machine learning in a two-stage approach. [PDF]

Front Digit Health
Majyambere S, Lindgren T, Twizere C, Ntakirutimana I.   +3 more
europepmc   +1 more source