All Relations between decision making and prt

Publication Sentence Publish Date Extraction Date Species
Xingche Guo, Donglin Zeng, Yuanjia Wan. A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders. Journal of the American Statistical Association. vol 119. issue 545. 2024-05-06. PMID:38706706. motivated by the probabilistic reward task (prt) experiment in the embarc study, we propose a semiparametric inverse reinforcement learning (rl) approach to characterize the reward-based decision-making of mdd patients. 2024-05-06 2024-05-08 human
Rachel F Shenker, Niema B Razavian, Claire M Lanier, Ryan T Hughe. Prognostication methods for patients treated with palliative radiotherapy: a narrative review. Annals of palliative medicine. 2023-12-21. PMID:38124472. the aim of this review is to summarize prognostic scoring systems for prt in order to help guide clinical decision making and selection of appropriate prt regimens. 2023-12-21 2023-12-23 Not clear
Heather E Soder, Jessica A Cooper, Paula Lopez-Gamundi, Jennifer K Hoots, Cecilia Nunez, Victoria M Lawlor, Scott D Lane, Michael T Treadway, Margaret C Wardl. Dose-response effects of d-amphetamine on effort-based decision-making and reinforcement learning. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. vol 46. issue 6. 2021-06-23. PMID:32722661. participants (n = 30) completed the effort expenditure for reward task (eefrt) measure of effort-related decision-making, and the probabilistic reward task (prt) measure of reward learning, under placebo and two doses of d-amphetamine (10 mg, and 20 mg). 2021-06-23 2023-08-13 human
Yang Wang, Yuanyuan Zhao, Song Liu, Weifang Tang, Hong Gao, Xucai Zheng, Shikai Hong, Shengying Wan. Using a novel T-lymph node ratio model to evaluate the prognosis of nonmetastatic breast cancer patients who received preoperative radiotherapy followed by mastectomy: An observational study. Medicine. vol 96. issue 42. 2017-10-31. PMID:29049205. the novel t-nr staging system provided larger auc (p = .024, .008, respectively) and the smaller aic (p < .001) value than american joint committee on cancer staging system.the novel t-nr staging system performed more accurate survival prediction and better model fitness for nmbc patients who receive prt followed by mast, it may provide a wide applicability in clinical decision-making. 2017-10-31 2023-08-13 Not clear
Marleen Kunneman, Corrie A M Marijnen, Monique C M Baas-Thijssen, Yvette M van der Linden, Tom Rozema, Karin Muller, Elisabeth D Geijsen, Anne M Stiggelbout, Arwen H Pieters. Considering patient values and treatment preferences enhances patient involvement in rectal cancer treatment decision making. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. vol 117. issue 2. 2016-07-20. PMID:26372343. this study aimed to assess whether values and preferences of rectal cancer patients are voiced and considered in deciding about preoperative radiotherapy (prt), and whether this makes patients feel more involved in treatment decision making. 2016-07-20 2023-08-13 Not clear
Kent Angelo, Jan Norum, Astrid Dalhaug, Adam Pawinski, Gro Aandahl, Ellinor Haukland, Kirsten Engljähringer, Carsten Niede. Development and validation of a model predicting short survival (death within 30 days) after palliative radiotherapy. Anticancer research. vol 34. issue 2. 2014-03-27. PMID:24511026. our model might support decision-making (best supportive care versus prt) and is the first decision aid specifically addressing prt near end of life. 2014-03-27 2023-08-12 Not clear
Brian Custer, Maria Agapova, Rebecca Havlir Martine. The cost-effectiveness of pathogen reduction technology as assessed using a multiple risk reduction model. Transfusion. vol 50. issue 11. 2011-01-24. PMID:20497512. because of the potential broad-spectrum risk reduction capability of prt, the health economics of prt could be an important consideration in decision making for this technology. 2011-01-24 2023-08-12 Not clear