Results 121 to 130 of about 14,176 (292)
DAG-Based Swarm Learning Approach in Healthcare: A Survey
IEEE AccessHealthcare systems are advancing at a rapid pace as a result of new technologies to address several issues in the sector such as shortage of skilled health workers and to deal with new diseases like COVID-19.
David Gana, Faisal Jamil
doaj +1 more source
Odd Multiway Cut in Directed Acyclic Graphs [PDF]
, 2018 We investigate the odd multiway node (edge) cut problem where the input is a graph with a specified collection of terminal nodes and the goal is to find a smallest subset of non-terminal nodes (edges) to delete so that the terminal nodes do not have an ...
Mozaffari, Sahand +1 more
core +1 more source
Mind the Gap: Predictors of Osteoporosis Treatment Following Fragility Fracture in Parkinsonism
Movement Disorders Clinical Practice, EarlyView.Abstract Background Fracture risk is increased in Parkinson's yet this risk is often not addressed. Objectives Our objective was to study the extent to which osteoporosis was treated, and predictors of treatment in a large representative cohort with parkinsonism.
Katie C. Naylor +2 more
wiley +1 more source
Advanced methods that combine directed acyclic graphs with Bernanke structural vector autoregression models are applied to a monthly system of three U.S.
Reeder, John +3 more
core +1 more source
Moment Priors for Bayesian Model Choice with Applications to Directed Acyclic Graphs [PDF]
We propose a new method for the objective comparison of two nested models based on non-local priors. More specifically, starting with a default prior under each of the two models, we construct a moment prior under the larger model, and then use the ...
Luca La Rocca, Guido Consonni
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Mapping Causal Biology: Mendelian Randomization in the Era of Big Data
Med Research, EarlyView.Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen +10 more
wiley +1 more source
This paper demonstrates the application of a recently developed methodology, the combination of directed acyclic graphs (DAGs) with Bernanke structural vector autoregression (VAR) models, to model a system of U.S.
Payne, Warren S. +2 more
core +1 more source
Allocation of Indivisible Items With a Common Preference Graph: Minimizing Total Dissatisfaction
Networks, EarlyView.ABSTRACT Allocating indivisible items among a set of agents is a frequently studied discrete optimization problem. In the setting considered in this work, the agents' preferences over the items are assumed to be identical. We consider a very recent measure for the overall quality of an allocation which does not rely on numerical valuations of the items.
Nina Chiarelli +6 more
wiley +1 more source
This paper applies a combined methodology of a recently developed directed acyclic graph (DAG) analysis with Johansen and Juselius' methods of the cointegrated vector autoregression (VAR) model to a monthly U.S.
Rogowsky, Robert A. +2 more
core +1 more source
GADAG: A genetic algorithm for learning directed acyclic graphs
, 2017 Sparse large Directed Acyclic Graphs learning with a combination of a convex program and a tailored genetic ...
Vignes M, Picheny V, Champion M
core