![]() ![]() We have good craftsmen, serious poets and ambitious poets, but very few interesting poets. Is it ‘playfulness’ as Chen Danqing’s comment on Lu Xun? Or juvenile fun like Feynman’s work? Anyway, I don’t think we have many interesting poets in contemporary China. ![]() Zhang Shuguang: The question is how you define ‘interesting’. ![]() Who do you think are the most interesting poets in contemporary China? Please give a list of top 10 names, and explain briefly why you choose them.īai Hua : Bian Zhilin (1910-2000), for his craftsmanship Bei Dao, who influenced me most Zhang Zao (1962-2010), my most precious poet friend who inspired me frequently and Lu Yimin (1962), the most gifted poetess in the 1980s. Please note that this may not reflect their current opinions. Ten of the poets responded in time, and I translated their answers into English. Which 10 living poets from all other countries (including young poets and new voices) are your favorite? Which 10 Asian poets have been most influential on contemporary Chinese poets? 5. Which 10 Western poets, in your opinion, have been most influential on contemporary Chinese poetry and (briefly) why? 4. Which 10 Chinese poets (from ancient to present) have influenced you most? 3. Who do you think are the most interesting poets in contemporary China? Please give a list of top 10 names and explain briefly why you choose them 2. doi: 10.1001/ 2012 I asked over 20 Chinese poets the following five questions: 1. Multidimensional frailty score for the prediction of postoperative mortality risk. Kim SW, Han HS, Jung HW, Kim KI, Hwang DW, Kang SB, et al. Prevalence and outcomes of infection among patients in intensive care units in 2017. Vincent JL, Sakr Y, Singer M, Martin-Loeches I, Machado FR, Marshall JC, et al. Timing, diagnosis, and treatment of surgical site infections after colonic surgery: prospective surveillance of 1263 patients. Martin D, Hübner M, Moulin E, Pache B, Clerc D, Hahnloser D, et al. Omadacycline for acute bacterial skin and skin structure infections. doi: 10.1056/NEJMoa1801467.Ībrahamian FM, Sakoulas G, Tzanis E, Manley A, Steenbergen J, Das AF, et al. Once-daily plazomicin for complicated urinary tract infections. Wagenlehner FME, Cloutier DJ, Komirenko AS, Cebrik DS, Krause KM, Keepers TR, et al. Further study is needed to assess whether this model can be used to guide clinical practice to improve surgical outcomes in elderly.Īrtificial intelligence Deep learning Elderly patients Machine learning Postoperative infections. Our feasibility study indicated that a deep learning model including risk factors for the prediction of postoperative infections can be achieved in elderly. Including risk factors relevant to baseline variables and surgery, the deep learning model predicted postoperative infections was 0.763 (95% CI 0.681-0.844) with the sensitivity of 63.2% (95% CI 46-78.2) and specificity of 80.5% (95% CI 76.6-84). The deep learning model including risk factors relevant to baseline clinical characteristics predicted postoperative infections was 0.641 (95% CI 0.545-0.737), and sensitivity and specificity were 34.2% (95% CI 19.6-51.4) and 88.8% (95% CI 85.6-91.6), respectively. 1510 patients were randomly assigned to be training dataset for establishing deep learning-based models, and 504 patients were used to validate the effectiveness of these models. We aimed to develop and validate deep learning-based predictive models for postoperative infections in the elderly. This was an observational cohort study with 2014 elderly patients who had elective surgery from 28 hospitals in China from April to June 2014. Analyzing with a deep learning model, the perioperative factors that could predict and/or contribute to postoperative infections may improve the outcome in elderly. Elderly patients are susceptible to postoperative infections with increased mortality. ![]()
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