ライフサイエンスコーパス: decision making

1 ic arthritis are helpful in guiding clinical decision making.

2 n these markers are integrated into clinical decision making.

3 availability of evidence that is useful for decision making.

4 ure in the environment to guide learning and decision making.

5 t step toward understanding human sequential decision making.

6 considerations will also be needed to inform decision making.

7 ation extremes and related processes inhibit decision making.

8 gated the factors that determine prospective decision making.

9 endently consent, and implementing surrogate decision making.

10 udy in isolation as it usually cooccurs with decision making.

11 ling, a unique strategy for energy-efficient decision making.

12 n root surfaces in order to improve clinical decision making.

13 tic value, potentially improving therapeutic decision making.

14 individual patient risks and evidence-based decision making.

15 critical role in reinforcement learning and decision making.

16 rkers that may be used for specific clinical decision making.

17 f cases, iOCT data directly altered surgical decision making.

18 he approaches implemented during value-based decision making.

19 ove patient's individual risk assessment and decision making.

20 ffects, the most relevant scale for clinical decision making.

21 ed and thorough preoperative planning to aid decision making.

22 ty is one of the main signatures of Bayesian decision making.

23 ng treatment outcomes and informing clinical decision making.

24 rn, can be a building block of public health decision making.

25 ce to inform clinical practice and treatment decision making.

26 the potential to be integrated into clinical decision making.

27 e aimed to conduct a meta-analysis to inform decision making.

28 information and could be helpful in clinical decision making.

29 , has never been empirically tested on human decision-making.

30 picture of the network dynamics involved in decision-making.

31 ognostication, and/or guidance of antibiotic decision-making.

32 reduce the metabolic or energetic demands of decision-making.

33 providing plasticity essential for flexible decision-making.

34 m diagnostic, therapeutic, and public health decision-making.

35 iple of interplay between phasic arousal and decision-making.

36 ulopathy (TIC), to support early therapeutic decision-making.

37 nvironment is a defining feature of adaptive decision-making.

38 accine strain were helpful for public health decision-making.

39 d to support patient involvement in clinical decision-making.

40 rsion is crucial for explaining effort-based decision-making.

41 of APNS and/or guide individual intervention decision-making.

42 entation style of new information influences decision-making.

43 hways critically implicated in goal-directed decision-making.

44 omplex components that comprise learning and decision-making.

45 orbitofrontal cortex (OFC) is important for decision-making.

46 meworks are needed to support evidence-based decision-making.

47 a are urgently needed to accelerate clinical decision-making.

48 the radiation fields will influence current decision-making.

49 hat adversely affects a patient's safety and decision-making.

50 ransitions in our model that are relevant to decision-making.

51 ms, coping, patient satisfaction, and shared decision-making.

52 he precision of value computations in social decision-making.

53 lack of patient-reported data to help guide decision-making.

54 SAB) provides expert advice to inform agency decision-making.

55 cessarily narrow perspective on learning and decision-making.

56 ent in this cohort is important for informed decision-making.

57 , researchers, and policymakers in strategic decision-making.

58 oduces information on a meaningful scale for decision-making.

59 rkers to guide prognostication and treatment decision-making.

60 rove the functions of circuits that underlie decision-making.

61 rmance and necessary information for patient decision-making.

62 -averse opponent is key for optimizing motor decision-making.

63 birth risk has potential to support clinical decision-making.

64 inical value, which is critical to informing decision-making.

65 ationality that underlies people's transport decision-making.

66 gnitive functions like memory, attention, or decision-making.

67 facilitate data synthesis and evidence-based decision-making.

68 inoma aggressiveness may help guide clinical decision-making.

69 tainty is fundamental to human cognition and decision-making.

70 rcuit tracks accumulating uncertainty during decision-making.

71 curs in the ICU around difficult and complex decision-making.

72 ow is value processed in the brain to inform decision making?

73 g (146.0 vs 196.0, P < 0.001), suturing with decision-making (146.0 vs 182.0, P < 0.001), and time-pr

74 P < 0.001), and time-pressured suturing with decision-making (146.0 vs 227.0, P < 0.001).

75 e conducted to guide institutional pragmatic decision making about implementation and ensure that con

76 Decision making about performance characteristics of HPV

77 se processes will facilitate better clinical decision-making about the therapies offered, exemplifyin

78 der several intersecting umbrellas including decision-making, action selection, perceptual categoriza

79 of specificity and sensitivity in individual decision-making affects the resilience of cooperation in

80 terization and the reaction conditions via a decision-making algorithm, can be readily envisaged in o

81 n measurement instruments are augmented with decision-making algorithms, allowing them to autonomousl

82 Risky decision-making also predicted enhanced sensitivity to t

83 ging is increasingly influencing therapeutic decision making, although its impact on patient outcomes

84 issociated the periods related to perceptual decision making and confidence report by either separati

85 We found that perceptual decision making and confidence reports gave rise to acti

86 ter epilepsy surgery, to improve presurgical decision making and counselling.

87 nd therefore have limited value for clinical decision making and development of novel therapies.

88 learning promises to revolutionize clinical decision making and diagnosis.

89 Payments may influence physicians' clinical decision making and drug prescribing.

90 ng the risks of FT significantly altered the decision making and risk acceptance of healthy individua

91 ing (brightfield & fluorescent), processing, decision making and sorting verification.

92 (LVAD) infection may facilitate therapeutic decision making and targeted surgical intervention.

93 es in physicians' diagnostic and therapeutic decision making and their confidence in these decisions

94 ated conditions that can influence treatment decision-making and affect outcomes.

95 the contributions of dopamine to value-based decision-making and highlight how comprehensive model-ba

96 ctions with other people can influence motor decision-making and improve risk-seeking bias.

97 the patient's characteristics at the time of decision-making and output a recommended treatment.

98 operatively is important for clinical shared decision-making and planning of health resources such as

99 n of behavior and/or maladaptive, inflexible decision-making and planning.

100 of FEF and caudate neurons to reward-biased decision-making and put experimental constraints on the

101 Effort-related decision-making and reward learning are both dopamine-de

102 ase, there is a need to ensure that surgical decision-making and the consent process for this procedu

103 rt of patients to incorporation of cost into decision-making and the decision aid, requests for great

104 ults should not be used to inform individual decision making, and antibody testing should remain a to

105 w they guide information-seeking, attention, decision-making, and learning to help us survive in an u

106 downstream areas that influence perception, decision-making, and motor control.

107 ity is associated with movement, reward, and decision-making, and observed in several interacting fre

108 contributing to speed-accuracy tradeoffs in decision-making, and that task history effects are not s

109 eward Task (EEfRT) measure of effort-related decision-making, and the Probabilistic Reward Task (PRT)

110 including perception, attention, memory, and decision-making; and also for developing novel clinical

111 uring such reinforcement learning to support decision-making are not known, but the olfactory tubercl

112 lifestyle considerations and involvement in decision-making around pressure ulcer care are important

113 paminergic phenotype was selective for risky decision-making, as delay discounting performance was no

114 the evaluation framework can help to improve decision making at farm and policy level to develop sust

115 standing of how fatigue impacts effort-based decision-making at the level of brain and behavior.

116 serve as an indication to adjust perceptual decision-making based on the complexity of the input.

117 ment of kidney tumors and help inform shared decision making between clinicians and patients.

118 as well as after BET, to allow for informed decision-making between the patient and the physician.

119 vioural, in neuropsychiatric disorders where decision-making biases are prominent.

120 tes that the motor system may participate in decision-making but the neural circuit and molecular bas

121 SARS-CoV-2) have many uses for public health decision making, but demand has largely come from indivi

122 ge not only affects our mood and patterns of decision making, but how we move.

123 fraction may be an important part of shared decision-making, but cost has generally been excluded fr

124 erative management (NOM) factors into shared decision making by patient and surgeon; however, the inc

125 ogical questions and provide a framework for decision making by researchers developing new models.

126 ulation of affective state appeared to alter decision-making by influencing both expectation and valu

127 xes plays a causal role in visual perceptual decision-making by transiently inhibiting SC activity du

128 tical care and suggesting that the timing of decision making can be optimised and individualised.

129 rted outcomes and involvement of patients in decision making, can be used to guide trial design and f

130 merging studies in computational modeling of decision making, caregiver-related transmission of traum

131 erpinning a key step along the developmental decision-making cascade: the generation of cytoplasmic m

132 he participants' ratings was good except for decision-making category.

133 Uncovering the pervasive role of memory in decision-making challenges the way we define what memory

134 rcuits, highlighting the diversity of neural decision-making circuits even in the context of closely

135 Rule identity is broadly encoded across decision-making circuits, but there are less data on how

136 out of the neural activity by the downstream decision-making circuits.

137 gh a distributed representational warping in decision-making circuits.

138 ral heterogeneity: individual differences in decision-making competence and developmental changes acr

139 r data suggest that state representation and decision-making computations for cognitive control are p

140 global matching and evidence accumulation in decision making could help further our understanding of

141 sources, sociocultural conditions, household decision-making) demands innovative approaches to meet t

142 Building trust in science and evidence-based decision-making depends heavily on the credibility of st

143 Optimal clinical decision-making depends on identification of clinically

144 ed, evidence from animals suggests that poor decision making due to preexisting biological factors ca

145 sults provide a foundation for well-informed decision making during model simplifications.

146 Public health decision making during the COVID-19 pandemic involves tr

147 Many tasks used to study decision-making encourage subjects to integrate evidence

148 ing cellular nonlinearities to circuit-level decision-making, establishes that distributed computatio

149 sing their expert opinion (3); II) Influence decision-making: explore (4), suggest (5), or declare th

150 perspectives on the role of cost in medical decision-making expressed by our participants underscore

151 Tailored decision making for elective repair and considering the

152 Donor factors can influence decision making for organ utilization for potential kidn

153 bone grafts creates additional difficulty in decision making for practitioners.

154 local surgical resection is needed to guide decision making for the optimal approach for the removal

155 ational fluid challenge studies may also aid decision-making for patients with PH-LHD or otherwise un

156 2Y12 inhibitors may improve patient-centered decision-making for STEMI patients.

157 ld be integrated into comprehensive clinical decision-making for these patients.

158 ork, we introduce a novel optimization-based decision-making framework for managing the COVID-19 outb

159 sk management using a multi-objective robust decision-making framework in the face of deep uncertaint

160 studies suggest that disruptions in flexible decision-making functions in substance-dependent individ

161 nt of fractional flow reserve (FFR) provides decision-making guidance during percutaneous coronary in

162 patient out-of-pocket costs might influence decision making has rarely been acknowledged and, overal

163 of dopamine in regulating exploration during decision-making has long been hypothesized, but direct c

164 Previous studies on perceptual decision making have focused on changes-of-mind that are

165 Studies of perceptual decision-making have often assumed that sensory cortices

166 use of i-OCT affected intraoperative surgeon decision making in 45% and 33% of cases of anterior and

167 here has been no systematic investigation of decision making in depression across tasks.

168 nd sample size calculator, which facilitates decision making in experimental design parameters.

169 The trustworthiness of AI for medical decision making in global health and low-resource settin

170 ded to improve individual and organizational decision making in health, public policy, intelligence a

171 ausally affects core aspects of cost-benefit decision making in humans.

172 nd have strong implications about perceptual decision making in naturalistic settings.

173 e that this algorithm can support diagnostic decision making in specialist clinical settings with acc

174 s of action, which could help guide clinical decision making in the management of patients with psori

175 lysis) an effective component of value-based decision making in the United States.

176 way of conceptualizing and modeling cellular decision making in volatile environments by explicitly u

177 atrix as a 'democratic space' for collective decision-making in a decentralized system, similar to qu

178 s, which can be used as a guide for clinical decision-making in daily practice.

179 tivity, and the impact of impulsivity during decision-making in depressed individuals with and withou

180 increasingly be crucial to guiding clinical decision-making in each patient with cancer.

181 nderstanding of neural mechanisms underlying decision-making in humans.

182 iations in confidence, similar to perceptual decision-making in other modalities.

183 racted one level further, to the geometry of decision-making in outlier cells, in order to define evo

184 mized clinical trials and may guide clinical decision-making in patients who experience early on-trea

185 into account during assessment and surgical decision-making in patients with FECD.

186 health care utilization may help with shared decision-making in persistent atrial fibrillation treatm

187 ificant shift in the study of risky monetary decision-making in psychology, economics, and neuroscien

188 neural encoding of task representations for decision-making in real-world situations.

189 Graph theory approaches to understanding decision-making in single cells may be abstracted one le

190 ap between climate science and public health decision-making in the Caribbean to build health system

191 dered an essential step in guiding treatment decision-making in the management of patients with advan

192 gical data, was used to inform public health decision-making in the Netherlands.

193 in the DMS, which may impair normal adaptive decision-making in the task, akin to what is observed in

194 lear plan with predefined targets and shared decision-making, in a structured way.

195 These enabling factors include flexible decision making, inclusive management, and support in mo

196 factors and provide guidance for the complex decision making involved in the peri-HSCT management of

197 We find that multi-attribute decision-making is a complex process that can be influen

198 hways in mice, its role in visual perceptual decision-making is not clear.

199 Human decision-making is often swayed by irrecoverable investm

200 tion errors plays a key role in learning and decision-making, is controlled by dopamine and contribut

201 t with local case counts in people's vaccine decision-making, it cannot determine whether different d

202 sic research into the three core elements of decision making: judgment, or how people predict the out

203 the latest methodology, to test hypothesized decision-making mechanisms.

204 drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience.

205 d parietal regions, we designed a dual route decision-making model that mimics the neural signals of

206 ental results are corroborated by a Bayesian decision-making model which tracked the participant's le

207 ecision circuits and, hence, the validity of decision-making models are unknown.

208 n, thereby enabling planning, education, and decision making on bifurcation stenting.

209 These data support decision making on PCV introduction for other low-income

210 These results inform shared, patient-centric decision making on the ideal duration of the use of aspi

211 ital administrators with recommendations for decision-making on behalf of unrepresented patients in t

212 Researcher subjective decision-making on data processing could produce inter-

213 sm (CPO) detection may help inform clinician decision-making on patient treatment and infection contr

214 s indicate that our identified D(3)-mediated decision-making phenotype can be used as a behavioral bi

215 hniques of understanding swarm behavior to a decision-making problem in the mammalian immune system,

216 amily history of CRC are invited to a shared decision making process to decide on further screening o

217 s and patients' families in the preoperative decision making process.

218 gs of the affected organs for a personalized decision-making process for each patient.

219 he key questions that need addressing in the decision-making process for possible surgical interventi

220 Given the complex decision-making process involved, multidisciplinary eval

221 Participants reviewed items of the decision-making process on a seven-point Likert scale or

222 outcomes that we created can be used in the decision-making process or provision of care in geriatri

223 ion of PM altered sensory integration or the decision-making process rather than processing of local

224 ent, the tool's applicability extends to any decision-making process that calls for synthesis of inco

225 siderations, (ii) patient involvement in the decision-making process, and (iii) pain and/or discomfor

226 ry, thereby aiding the medical diagnosis and decision-making process.

227 nd the perception of being excluded from the decision-making process; and payers are weary of the int

228 nSAR could be systematically used to support decision making processes in the different phases of a c

229 A host of learning, memory, and decision-making processes form the individual's response

230 in regions that are known to be critical for decision-making processes in cocaine-dependent individua

231 individualized risk assessment and objective decision-making processes.

232 l conflict, decision process quality, shared decision-making, quality of life, or preferences (all ps

233 Direct-to-consumer marketing and shared decision making reflect a culture where patients are inc

234 These findings facilitate clinical decision-making regarding allergic diseases in the conte

235 s for PMRT are borderline to enable informed decision-making regarding oncological and reconstructive

236 These data will inform better shared decision-making regarding this common condition.

237 ctivity for updating expectations for future decision-making remains unexplored.

238 Decision making requires integrating knowledge gathered

239 Optimal decision-making requires that stimulus-value association

240 gful interdisciplinary work, specifically in decision-making research conducted between 2004 and 2017

241 However, suturing in conjunction with decision-making resulted in significant deactivation acr

242 rately facilitate informed mechanistic-based decision making, risk management and discovery of molecu

243 Clinical decision making should not be made based on a variant of

244 ntify strengths and weaknesses in residents' decision-making skills and yield valuable information to

245 are integrated only at later, postperceptual decision-making stages.

246 ructures, the impact of such regularities on decision-making strategy is poorly understood.

247 This raises questions about whether the same decision-making strategy is used when these two factors

248 each other when adolescents engage in social decision making such as giving or sharing.

249 ganglia nuclei (BG) involved in value-based decision making, suggesting a role in the value process.

250 Providers need decision-making support with virtual examination trainin

251 we trained rhesus monkeys to perform a novel decision-making task with both reward asymmetry and temp

252 We addressed this question in a perceptual decision-making task, allowing us to rule out motivation

253 le and female rats were trained in the risky decision-making task, followed by ovariectomy (OVX), orc

254 motivation for performing a motivation-based decision-making task.

255 (DS), while macaques performed a rule-based decision-making task.

256 A frequent assumption in value-based decision-making tasks is that agents make decisions base

257 cal performance during combined suturing and decision-making tasks was inferior to suturing alone und

258 a comprehensive battery of nine value-based decision-making tasks which yield ten distinct measures.

259 e tested our hypothesis on 4 macaques, three decision-making tasks, and two brain areas.

260 th animal and human datasets from perceptual decision-making tasks, with better accuracy and fewer pa

261 ously, to support more personalized clinical decision making than can be made on the basis of only an

262 inically characterized by obvious changes in decision making that cause distress and impairment.

263 ormation in working memory (WM) for rational decision making that leads to social-distancing complian

264 its of recently adopted practices in medical decision making that prioritize full decisional autonomy

265 mic games are an effective measure of social decision-making that can be adapted for use in neuroimag

266 ecause participants use heuristically driven decision-making that glosses over degrees, and the study

267 recorded from neurons in 3 regions linked to decision-making, the orbitofrontal cortex (OFC), ventral

268 s, in part, because they reduce the costs of decision-making through a distributed representational w

269 rns of correlations and relevance to medical decision making to create a 5-item version.

270 led a transition from deterministic and slow decision-making to a fuzzy and rapid regime dominated by

271 hesized to mediate functions that range from decision-making to consciousness(1).

272 mission in the community, facilitating early decision-making to control local transmission of SARS-Co

273 modulatory effects on sensory perception and decision-making to govern appropriate behaviour.

274 opolamine induced similar positive biases in decision-making to ketamine, but the same effects were n

275 By relating deficits in value-based decision-making to region-specific Nrxn1alpha disruption

276 r change and effectively informs health care decision making, to ultimately improve caries outcomes.

277 We aimed to develop an individualised decision making tool to select an optimal revascularisat

278 se effects likely contribute to the impaired decision-making-typified by chronic substance abuse and

279 For example, in decision-making under risk, individuals show a tendency

280 equivalent reward-is an important concept in decision-making under risk.

281 vioural science, specifically in research on decision-making under risk.

282 s, we modeled performance on a probabilistic decision-making under volatility task using a hierarchic

283 c glutamate receptor 5 (mGluR5) and assessed decision making using a probabilistic reversal learning

284 provide a practical framework for diagnostic decision making using selected patient-centered vignette

285 mpal-striatal system as a general system for decision making via adaptive combination of stimulus-res

286 ng these alternative accounts of emotion and decision making, we drew on the Appraisal Tendency Frame

287 middle temporal (MT) area during perceptual-decision-making, we extracted low-dimensional latent fac

288 risk) are represented asymmetrically during decision-making when attempting to gain reward or avoid

289 the strategy, the subjects achieved optimal decision-making when competing with risk-averse opponent

290 hich D2 dopamine receptor activity modulates decision-making when foreground and background reward ra

291 esis that the human OFC is only required for decision-making when future outcomes have to be mentally

292 ctivity in the targeted OFC network supports decision-making when outcomes have to be mentally simula

293 ar outcomes and then propose a framework for decision-making, which includes an assessment of the fea

294 mains among the most challenging aspects for decision making with in vitro new approach methods data.

295 rating procedures could change perioperative decision making with regard to extending resections or a

296 Realizing decision-making with a few molecules in artificial cells

297 aw may be a symptom of near-optimal parallel decision-making with noisy input.

298 ical treatment algorithm to support clinical decision making, with the aim to encourage translation i

299 We anticipate that our results will inform decision-making within conservation and restoration init

300 e Use Criteria were designed to aid clinical decision-making, yet their association with health statu