Clinical Decision-Making
Using AB designs with nonoverlap effect size measures to support clinical decision-making : a Monte Carlo validation
... Discussion Overall, our analyses show that Tau-U and R-IRD may provide adequate control over type I error rate and sufficient power when detecting changes in quasi-experimental AB designs. In addition to independently ...
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Computer-assisted clinical decision-making project,
... In dealing with this problem, the physician must account for this risk factor as well as the possibility that the tests which he could employ to gain further information about the patien[r] ...
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Clinical Decision-Making in the Treatment of Schizophrenia: Focus on Long-Acting Injectable Antipsychotics.
... randomized clinical trials (RCTs) is well established, the evidence for the specific advantages for LAI SGAs over oral medication remains unclear [ 5 , 6 ...of clinical practice (patients who consent to ...
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A Decision Support System for Multiple Criteria Decision Making Problems
... a decision support ...a decision support framework is observed in advanced studies (Fallahpour et ...a decision support system in order to build a dashboard for easier data gathering and effective ...
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Decision making process and factors routing
... The first part collected background information on the characteristics of the driver, the carrier and the current shipment, as well as on the process of the route[r] ...
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Fast and Accurate Repeated Decision Making
... such decision is usually made based on a so-called A/B test, estimating the potential benefits of the update (for simplicity, we focus on a single metric, such as the total benefits, the gross sales, ...
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Contributions to risk-informed decision making
... The goal of this work with pairwise comparisons is to remove the arbitrary nature of scale choice by providing a sound theoretical basis for selecting a scale and then to mak[r] ...
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Ethical decision making for autonomous vehicles
... A. Decision making for AVs Building on the deterministic decision-making models used in the 2007 DARPA Challenge [5], probabilistic de- cision making is often modelled as a Markovian ...
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An Ontology for Collaborative Decision Making
... Facilitation activities are central to decision-making. However, skilled facilitators are rare in organizations as they tend to become managers very quickly [6]. Our ambition is to embed facilitation skills ...
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Decision-Making with Belief Interval Distance
... for decision-making with belief functions which truly exploits the belief interval value of each focal element of a ...the decision can be made not only on singletons, but also on any other compound ...
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On importance indices in multicriteria decision making
... In particular, the classical property of (increasing) monotonicity, which says that x ≤ y ⇒ v(x) ≤ v(y), (1) or its converse (decreasing monotonicity) or any mixed version, are not assumed here. Mono- tonicity means that ...
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Somatic markers and explicit knowledge are both involved in decision-making.: Somatic markers and decision-making
... that decision-making during the IGT may be guided by two pathways, an explicit and an implicit one, which do not appear to be linked to each ...in decision-making, exploring factors such as ...
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Impulsivity modulates pilot decision making under uncertainty
... We showed that impulsivity modulated pilots’ indecisiveness in uncertain decision scenarios as well as pilots’ self-reported compliance to airline guidelines in real life.. This result s[r] ...
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Decision-making under uncertainty in drug development
... industry, decision- makers have to decide whether to continue drug development projects, if the tests results on new compounds are good ...the decision- making process in practice, we need to ...
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Decision-making under uncertainty in drug development
... When a subject is uncertain about an object, where does the uncertainty come from? Is it in the subject's mind or does it come from the unpredictability of the object comportment? We think it is important to take human ...
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Risk-aware decision making and dynamic programming
... Many popular methods in RL such as Temporal Difference learning [27] or Q-learning [29] base the selection of actions on average rewards-to-go, following principles from Monte Carlo estimation [21] and Dynamic ...
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Social interactions issues in group decision-making
... another decision maker may bring the corresponding decision maker to altruism (disposition to be interested and to devote oneself to others) whereas nega- tive feelings will lead to selfishness (excessive ...
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From knowledge sharing to collaborative decision making
... A planned rearrangement: the origin of disruptions As presented in the first part of this paper (Fig. 1 ), the teams working with the AXAPAC mainframe technology were divided, what reinforced the feeling of “working ...
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Computer aided decision making in organizations : a decision support systems typology
... The purpose of such systems is to provide analysis services by exploiting reasonably convenient access to a series of data bases and small models\. Part of the rationale for developing s[r] ...
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Decision Making with Imprecise Probabilistic Information
... a decision maker will always prefer a given decision in the least imprecise ...a decision maker in more or less imprecise ...the decision maker knows that there are 1 white and 99 black balls ...
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