Results 251 to 260 of about 3,327,271 (332)

Evaluation of the quality of interpolation of the random variable distribution density using an artificial neural network

М Г Доррер
openalex   +2 more sources

Enhanced risk prediction of femoral head osteonecrosis in the elderly: a comparative study of random forest and logistic regression models. [PDF]

Front Med (Lausanne)
Shang P, Liu Q, Mu H, Yang H, Jia J.
europepmc   +1 more source

Cognitive Status in People With Epilepsy in the Republic of Guinea: A Prospective, Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick, Cheick O. Soumah, Malé Doré, Oumar Mara, Desiré Neldje, Fodé A. Cissé, Toure M. Lamine, Aminata Diallo, Seungwon Lee, Siddharth Satish, Alexander J. X. Chen, Alice Liu, Nomin Enkhtsetseg, Farrah J. Mateen, The Guinea Epilepsy Project   +14 more
wiley   +1 more source

Machine learning-based prediction of occupational exposure risks among oral healthcare workers. [PDF]

Front Public Health
Jian Z, Jinting Z, Wang L, Zhenjie Y, Jingying L, Shuang W, Junxin L, Dan S.   +7 more
europepmc   +1 more source

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron, Nicholas E. Clifton, Daniel Cabezas de la Fuente, Peter Holmans, Nicholas J. Bray, Kathryn J. Peall   +5 more
wiley   +1 more source

Combining clustering of variables and feature selection using random forests

, 2020
Marie Chavent, Robin Genuer, Jérôme Saracco   +2 more
openalex   +1 more source

Random survival forests for the analysis of recurrent events for right-censored data, with or without a terminal event. [PDF]

BMC Med Res Methodol
Murris J, Bouaziz O, Jakubczak M, Katsahian S, Lavenu A.   +4 more
europepmc   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Downscaling local distribution of cattle over Guadeloupe archipelago: An adapted method for disaggregating census data. [PDF]

PLoS One
Dufleit V, Guerrini L, Gilbert M, Da Re D, Etter E.   +4 more
europepmc   +1 more source