Results 71 to 80 of about 155,351 (242)
, 2023 Causality has the potential to truly transform the way we solve a large number of real-world problems. Yet, so far, its potential largely remains to be unlocked as causality often requires crucial assumptions which cannot be tested in practice. To address this challenge, we propose a new way of thinking about causality -- we call this causal deep ...
Berrevoets, Jeroen +3 more
openaire +2 more sources
Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley +1 more source
Counterfactual Based Approaches for Feature Attributions of Stress Factors Affecting Rice Yield
Engineering ReportsAgriculture is a crucial sector in many countries, particularly in India, where it significantly influences the economy, food supply, and rural livelihoods.
Nisha P. Shetty +6 more
doaj +1 more source
Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Adrenoleukodystrophy is a rare inherited peroxisomal disease caused by pathogenic variants in the ABCD1 gene located on the X chromosome. Although the most severe central nervous system and adrenal complications typically affect only men with adrenoleukodystrophy, the majority of women develop myeloneuropathy symptoms in adulthood.
Chenwei Yan +3 more
wiley +1 more source
From statistical to causal learning
, 2023 To appear in the Proceedings of the International Congress of Mathematicians 2022, EMS Press. Both authors contributed equally to this work; names are listed in alphabetical order. 34 pages (28 content pages + references), 12 figures, 2 tables.
Schölkopf, Bernhard +1 more
openaire +2 more sources
Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source
Learning causality and causality-related learning: some recent progress [PDF]
National Science Review, 2017 Zhang, K. +3 more
openaire +3 more sources
Learning of Causal Relations [PDF]
, 2011 Contains fulltext : 91996.pdf (Author’s version preprint ) (Open Access)
Quinn, J. +3 more
openaire +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Psykhe, 2009 Según el enfoque elementalista del aprendizaje asociativo, los estímulos compuestos equivalen a la suma de sus componentes, mientras que para el enfoque configuracional los estímulos son todos indivisibles.
Andrea C Diaz +4 more
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