Results 191 to 200 of about 25,654,881 (342)

Individualized machine-learning-based clinical assessment recommendation system. [PDF]

PLOS Digit Health
Setiawan D, Wiranto Y, Girard JM, Watts A, Ashourvan A.   +4 more
europepmc   +1 more source

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer, Frauke Stascheit, Maximilian Mönch, Paolo Doksani, Carla Dusemund, Meret Herdick, Philipp Mergenthaler, Maike Stein, Amani Suboh, Jutta Schröder‐Braunstein, Guido Wabnitz, Jan D. Lünemann, Sophie Lehnerer, Sarah Hoffmann, Andreas Meisel   +14 more
wiley   +1 more source

Research on MOOCs course recommendation system based on hybrid attention mechanism in frequency and time domain. [PDF]

PLoS One
Yuan H, Liu L, Zhang Y, Wang G, He A, Zhang F.   +5 more
europepmc   +1 more source

A Secure Online Based Friend Recommendation System for Social Network

, 2017
Priyanka Uchekar, Kirtee Gawade, Arati Dhumal, Rina Sandbhor, Prof .Kadam S.D, Prof. Sahane P. B.   +5 more
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

A Federated Recommendation System with a Dual-Layer Multi-Head Attention Network and Regularization Strategy. [PDF]

Entropy (Basel)
Yue Q, Tong X.
europepmc   +1 more source

The Digital Self Under Algorithmic Governance: An Autoethnographic Study of Rednote's Personalized Recommendation System

Chaoyuan Zhou
openalex   +1 more source

Knowledge Graph-based Multimodal GNN Model for Recommendation Systems [PDF]

Atticus Sinclair, J. H. Callahan, Silas Donovan, Lawson Beckett   +3 more
openalex   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund, Johan Reutfors, Thomas Frisell, Fredrik Piehl   +3 more
wiley   +1 more source

Retraction Note: Knowledge graph driven medicine recommendation system using graph neural networks on longitudinal medical records. [PDF]

Sci Rep
Mishra R, Shridevi S.
europepmc   +1 more source