Results 241 to 250 of about 138,756 (354)

CardioVar: a machine learning framework for pathogenicity prediction of cardiomyopathy genetic variants. [PDF]

Bioinform Adv
Al-Mahrami N, Albalushi A, Al Hattali F, Al Balushi M, Al Shamsi B, Al-Oraimi M, Al Lawati T, Al-Rawahi M, Alhashmi N, Al-Amri A.   +9 more
europepmc   +1 more source

Long‐Term Outcomes of Deep Brain Stimulation in Woodhouse–Sakati Syndrome

Movement Disorders, EarlyView.
Abstract Background Woodhouse–Sakati syndrome (WSS) is a rare autosomal recessive disease with distinctive neuroendocrine manifestations, with dystonia being the most common. No clear guidelines are available for the treatment of dystonia in WSS. Objective The aim was to analyze the impact of deep brain stimulation (DBS) on WSS‐associated dystonia ...
Hend Alhodaif, Yara Alkhodair, Faisal Alotaibi, Salma Alqahtani, Saeed Bohlega, Amaal Aldakheel   +5 more
wiley   +1 more source

An investigation of strong edge geodesic number on m-polar fuzzy environment and its application. [PDF]

PLoS One
Mahapatra T, Bonyah E, Pal M.
europepmc   +1 more source

Temporal Dynamics of Parkinson's Disease Tremor: Clinical and Neuroimaging Insights

Movement Disorders, EarlyView.
Abstract Background Parkinson's disease (PD) is a progressive neurodegenerative disorder clinically defined by three cardinal motor symptoms: bradykinesia, rigidity, and tremor. Although the natural history of bradykinesia and rigidity is well described, the evolution of tremor as the disease progresses remains controversial. Objectives The goal was to
Melanie Suette, Robert Matic, Marisa Koini, Lukas Gattermeyer‐Kell, Daniela Kern, Petra Katschnig‐Winter, Mariella Koegl, Maximilian Sackl, Christian Tinauer, Birgit Helmlinger, Manuel Leitner, Stefan Ropele, Daniela Pinter, Christian Enzinger, Stephan Seiler, Petra Schwingenschuh   +15 more
wiley   +1 more source

Security Audit of IoT Device Networks: A Reproducible Machine Learning Framework for Threat Detection and Performance Benchmarking. [PDF]

Sensors (Basel)
Shaikhanova A, Kuznetsov O, Tokkuliyeva A, Ayapbergenov K, Olzhas S, Danir T.   +5 more
europepmc   +1 more source

Revisiting the Association Between Calcium Channel Blockers and Parkinson's Disease in the E3N Cohort

Movement Disorders, EarlyView.
Abstract Background Previous studies on calcium channel blockers (CCBs) and Parkinson's disease (PD) risk reached conflicting conclusions. Objectives We examined the relationship between CCBs and PD in the E3N cohort of French women followed for 15 years (2004–2018), while taking into account the potential for reverse causation.
Emilie Moutard, Agnès Fournier, Émeline Courtois, Fanny Artaud, Pascale Tubert‐Bitter, Emmanuel Roze, Ismaïl Ahmed, Anne C.M. Thiébaut, Alexis Elbaz, Thi Thu Ha Nguyen   +9 more
wiley   +1 more source

Neural network approach enhancing churn prediction with categorical encoding and standard scaling. [PDF]

Sci Rep
Bhattacharjee B, Madhu U, Guha SK, Bhadra S, Das PK, Samantaray SP, Zubairuddin M, Tamboli S.   +7 more
europepmc   +1 more source

Healthy Dietary Patterns and Risk of Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Although healthy dietary patterns have been suggested to be associated with decreased Parkinson's disease (PD) risk, their protective role remains uncertain. Objective To examine associations between eight dietary patterns and PD risk in two United States (US) cohorts followed for up to 32 years.
Xiao Chen, Hui Chen, Peilu Wang, Michael A. Schwarzschild, Albert Y. Hung, Xiang Gao, Alberto Ascherio, Mario H. Flores‐Torres, Kjetil Bjornevik   +8 more
wiley   +1 more source

A Study on Distributed Multi-Sensor Fusion for Nonlinear Systems Under Non-Overlapping Fields of View. [PDF]

Sensors (Basel)
Wang L, Zhou Y, Li W, Shi L, Zhao J, Wang H.   +5 more
europepmc   +1 more source

Transcranial Pulse Stimulation Enhances Dexterity in Parkinson's Disease: A Randomized Sham‐Controlled Trial

Movement Disorders, EarlyView.
Abstract Background Ultrasound‐based neuromodulation, capable of reaching deep brain areas with high precision, represents cutting‐edge technology in non‐invasive brain stimulation and is investigated as a novel treatment for neurological and psychiatric disorders, including Parkinson's disease (PD).
Eva Matt, Nina Plischek, Michael Mitterwallner, Sonja Radjenovic, Alexandra Weber, Alina Domitner, Gregor Dörl, Anna Zettl, Sarah Osou, Anna Leitgeb, Agnes Santer, Viktoria Winkler, Julia Mandelburger, Heidemarie Zach, Roland Beisteiner   +14 more
wiley   +1 more source