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5篇 您的检索式:作者名="Chou Jason"
    题名 作者 年代 出处 被引量
1Glasgow prognostic score after concurrent chemoradiotherapy is a prognostic factor in advanced head and neck cancer显示文摘Objective: This study aims to evaluate the impact and potential prognostic roles of the pre-and post-treatment Glasgow prognostic score(GPS) and the change thereof in patients with advanced head and neck cancer undergoing concurrent chemoradiotherapy(CCRT).Methods: We collected GPS and clinicopathological data of 139 stage III, IVA, and IVB head and neck cancer patients who underwent CCRT between 2008 and 2011. Their GPSs pre-and post-CCRT and the change thereof were analyzed for correlations with recurrence and survival.Results: The GPS changed in 72(51.8%) patients, with worse scores observed post-CCRT in 65(90.3%) of the GPS changed patients. Patients in the improved GPS group showed a tendency toward better survival. From the multivariate analysis, the post-CCRT GPS level was an independent prognostic factor in addition to tumor stage.Conclusions: After CCRT, a high GPS was revealed to be an important predictor of survival for advanced head and neck cancer.Pei-Hung Chang Cheng-Hsu Wang Eric Yen-Chao Chen Shih-Wei Yang Wen-Chi Chou Jason Chia-Hsun Hsieh Feng-Che Kuan Kun-Yun Yeh 2017Chinese Journal of Cancer Research2017,29,3:1
2Genetically Encoded Light-Activated Transcription for Spatiotemporal Control of Gene Expression and Gene Silencing in Mammalian Cells 显示文摘James Hemphill Chungjung Chou Jason W Chin 2013J Am Chem Soc2013,135,13:1
3Not ching and Freezing effect on macadamia nut kernel Recovery 显示文摘Liang Tung Chou Jason 1998Journal of Agricultural Engineering Research1998,41,10:1
4Photonic Bandwidth Compression Front End for Digit- al Oscilloscopes 显示文摘Chou Jason Conway Josh A Sefler George A 2009Journal of Lightwave Technolo- gy2009,27,22:1
5Crowdsourcing in health and medical research:a systematic review显示文摘Background:Crowdsourcing is used increasingly in health and medical research.Crowdsourcing is the process of aggregating crowd wisdom to solve a problem.The purpose of this systematic review is to summarize quantitative evidence on crowdsourcing to improve health.Methods:We followed Cochrane systematic review guidance and systematically searched seven databases up to September 4th 2019.Studies were included if they reported on crowdsourcing and related to health or medicine.Studies were excluded if recruitment was the only use of crowdsourcing.We determined the level of evidence associated with review findings using the GRADE approach.Results:We screened 3508 citations,accessed 362 articles,and included 188 studies.Ninety-six studies examined effectiveness,127 examined feasibility,and 37 examined cost.The most common purposes were to evaluate surgical skills(17 studies),to create sexual health messages(seven studies),and to provide layperson cardiopulmonary resuscitation(CPR)out-of-hospital(six studies).Seventeen observational studies used crowdsourcing to evaluate surgical skills,finding that crowdsourcing evaluation was as effective as expert evaluation(low quality).Four studies used a challenge contest to solicit human immunodeficiency virus(HIV)testing promotion materials and increase HIV testing rates(moderate quality),and two of the four studies found this approach saved money.Three studies suggested that an interactive technology system increased rates of layperson initiated CPR out-ofhospital(moderate quality).However,studies analyzing crowdsourcing to evaluate surgical skills and laypersoninitiated CPR were only from high-income countries.Five studies examined crowdsourcing to inform artificial intelligence projects,most often related to annotation of medical data.Crowdsourcing was evaluated using different outcomes,limiting the extent to which studies could be pooled.Conclusions:Crowdsourcing has been used to improve health in many settings.Although crowdsourcing is effective at improving behavioral outcomes,more research is needed to understand effects on clinical outcomes and costs.More research is needed on crowdsourcing as a tool to develop artificial intelligence systems in medicine.Cheng Wang Larry Han Gabriella Stein Suzanne Day Cedric Bien-Gund Allison Mathews Jason JOng Pei-Zhen Zhao Shu-Fang Wei Jennifer Walker Roger Chou Amy Lee Angela Chen Barry Bayus Joseph D.Tucker 2020Infectious Diseases of Poverty2020,9,1:0
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