نتایج جستجو برای: strategy for patient
تعداد نتایج: 10658139 فیلتر نتایج به سال:
Background and Aim: Health tourism is considered a national strategy to increase the income of the country and also is considered one of the pillars of national security. This aim of this study was to determine the impact of observing the standards of Joint Commission International (JCI) related to Patient-oriented on attracting health tourists. Materials and Methods: This research is an a...
Introduction: Panoramic is the most widely used radiographs for the oral and dental diagnosis. This study aimed to investigate the common errors of digital panoramic radiographs in patients who referred to School of Dentistry (Yazd, Iran). Methods: This study was a cross-sectional descriptive one. Four-hundred radiographs available in the department archive were utilized. They aged from 10 –...
Evolution Strategies (ES) have recently been demonstrated to be a viable alternative to reinforcement learning (RL) algorithms on a set of challenging deep RL problems, including Atari games and MuJoCo humanoid locomotion benchmarks. While the ES algorithms in that work belonged to the specialized class of natural evolution strategies (which resemble approximate gradient RL algorithms, such as ...
the central issue in strategy formulation and implementation process, or strategy-making, is the identification of environmental forces and the preparation of a plan of action to deal with them. this necessitates scanning the environment for gathering information. environmental scanning should enable the firm to identify these forces. doing this not only calls for information gathering, but als...
hr strategy is the pattern of hr-related decisions. that is, the gestalt of negotiated people related policies and practices in use indeed the formulation and enactment of an hr strategy designed to link hr policies and practices with the strategic goals and objective of the firm. the purpose of this research is human resources strategy formulation for prk company. integrative model (bamberger ...
In this paper, a model-free reinforcement learning-based controller is designed to extract a treatment protocol because the design of a model-based controller is complex due to the highly nonlinear dynamics of cancer. The Q-learning algorithm is used to develop an optimal controller for cancer chemotherapy drug dosing. In the Q-learning algorithm, each entry of the Q-table is updated using data...
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