Results 21 to 30 of about 49,496 (199)
Trends in inpatient antiparkinson drug use in the USA, 2001-2012 [PDF]
, 2015 Purpose: Although therapeutic options and clinical guidelines for Parkinson's disease (PD) have changed significantly in the past 15 years, prescribing trends in the USA remain unknown.
Bjerre, Lise M. +9 more
core +2 more sources
Pharmacy Practice, 2018 Objective: The objective of this study is to compute the potential benefit of Pramipexole ER on total levodopa equivalent dose (LED) and Unified Parkinson Disease Rating Score (UPDRS-III) compared to mono- or combined therapy of pramipexole IR and/or ...
Faddoul L +5 more
doaj +1 more source
Frontiers in Neurology, 2019 Parkinson's disease (PD) is a neurodegenerative disease characterized by progressive loss of dopaminergic neurons, appearance of Lewy bodies and presence of neuroinflammation.
Elisa Storelli +4 more
doaj +1 more source
Antiparkinson Drug Adherence and Its Association with Health Care Utilization and Economic Outcomes in a Medicare Part D Population [PDF]
, 2014 ObjectivesWe examine the associations of adherence to antiparkinson drugs (APDs) with health care utilization and economic outcomes among patients with Parkinson’s disease (PD).MethodsBy using 2006–2007 Medicare administrative data, we examined 7583 ...
Beardsley, Robert +6 more
core +1 more source
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning [PDF]
arXiv, 2021 Training a multi-agent reinforcement learning (MARL) algorithm is more challenging than training a single-agent reinforcement learning algorithm, because the result of a multi-agent task strongly depends on the complex interactions among agents and their interactions with a stochastic and dynamic environment.
arxiv
Fact-based Agent modeling for Multi-Agent Reinforcement Learning [PDF]
arXiv, 2023 In multi-agent systems, agents need to interact and collaborate with other agents in environments. Agent modeling is crucial to facilitate agent interactions and make adaptive cooperation strategies. However, it is challenging for agents to model the beliefs, behaviors, and intentions of other agents in non-stationary environment where all agent ...
arxiv
Health-related quality of life and depression among participants in the Sjögren's International Collaborative Clinical Alliance registry. [PDF]
, 2017 ObjectiveTo examine health-related quality of life (HRQoL) and depression among participants in an international Sjögren's syndrome (SS) registry, comparing those with and without SS.MethodsCross-sectional study of participants in the Sjögren's ...
Chou, Annie +5 more
core +1 more source
Medication Use - Biomarker Home Exam [PDF]
, 2019 This document summarizes the rationale, equipment, measurement, and protocol procedures for the medication inventories collected during Wave V. It also documents the protocol for assigning therapeutic classes to those medications. Whenever possible, data
Angel, Robert +5 more
core +2 more sources
Building Disease-Specific Drug-Protein Connectivity Maps from Molecular Interaction Networks and PubMed Abstracts [PDF]
, 2009 The recently proposed concept of molecular connectivity maps enables researchers to integrate experimental measurements of genes, proteins, metabolites, and drug compounds under similar biological conditions.
A Beyer +57 more
core +3 more sources
Cooperative Heterogeneous Deep Reinforcement Learning [PDF]
arXiv, 2020 Numerous deep reinforcement learning agents have been proposed, and each of them has its strengths and flaws. In this work, we present a Cooperative Heterogeneous Deep Reinforcement Learning (CHDRL) framework that can learn a policy by integrating the advantages of heterogeneous agents.
arxiv