Results 151 to 160 of about 31,155,536 (302)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai +13 more
wiley +1 more source
Data-driven policy learning for continuous treatments
Journal of EconometricsThis paper studies policy learning for continuous treatments from observational data. Continuous treatments present more significant challenges than discrete ones because population welfare may need nonparametric estimation, and policy space may be infinite-dimensional and may satisfy shape restrictions.
Chunrong Ai, Yue Fang, Haitian Xie
openaire +2 more sources
Machine learning-driven data integration for drug discovery
MACHINE LEARNING-DRIVEN DATA INTEGRATION FOR DRUG DISCOVERY Machine learning-driven data integration for drug discovery / Mejia Morelli, Flavio (Rights reserved) (-
Mejia Morelli, Flavio
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong +10 more
wiley +1 more source
Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea +53 more
wiley +1 more source
Do-it-yourself corpora for LSP: Demystifying the process and illustrating the practice
Scripta Manent, 2019 This paper argues for an approach to LSP in which teachers and students compile their own do-it-yourself corpora using specialised texts in their area of study and teaching. I show that it is relatively easy to build a rough and ready corpus of this type
Maggie Charles
doaj
Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. [PDF]
Annu Rev Biomed Eng, 2020 Onofrey JA +7 more
europepmc +1 more source
The Role of Machine Learning in Entrepreneurial and Investment: A Systematic Literature Review on Data Driven Decision Making ...
Murniati, Murniati
core +1 more source
Learning to select software components [PDF]
, 2004 Developers using software components need to be confident in their selection of the most suitable component. Manual searching is time consuming and unlikely to be able to consider large numbers of components. The Context-driven Component Evaluation (CdCE)
Maxville, V., Lam, C.P., Armarego, J.
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Dysregulated lipid metabolism, which can affect remyelination and neural repair, has not been extensively investigated in progressive multiple sclerosis (PMS). The goal was to examine whether dysregulated cholesterol metabolism was associated with disability in PMS. Methods The study sample comprised 53 Severe PMS patients (Expanded
Taylor R. Wicks +8 more
wiley +1 more source