A 30-year-old female patient with Bartholin’s abscess was treated by acupuncture.Before visit,she had taken wuwei xiaodu yin for 4 consecutive days,but the symptoms were not alleviated markedly and pain was worsening...A 30-year-old female patient with Bartholin’s abscess was treated by acupuncture.Before visit,she had taken wuwei xiaodu yin for 4 consecutive days,but the symptoms were not alleviated markedly and pain was worsening.According to the conditions of tongue and pulse,and physical signs,the case was differ-entiated as pathogenic heat invading blood phase;and the injury of qi and yin by the herbal decoction the patient took before.In treatment with acupuncture,the treatment principle focused on benefiting qi,nourishing yin,expelling pus from the interior and draining toxin,and promoting the circulations of meridians to stop pain.He-sea points were selected to clear heat and resolve damp,and replenish the liver and kidney;and the acupoints of bladder meridian were combined under the guidance of“taiyang dominating the openings,”aiming at elevating qi and expelling toxin from the interior.Acupuncture was given once daily.After treated for 4 days,abscess was ruptured,pain disappeared,and no recurrence was presented and no sequelae happened during over 2 years of follow-up.This case shows that acupuncture is effective on Bartholin’s abscess.By reviewing this case,it is put forward that there may by the signs before the onset of Bartholin’s abscess,and the treatment should focus on opening a way for eliminating pathogens.Moreover,the clinical trial is required to verify acupuncture effect on this disease.展开更多
在分类问题中,常常会遇到只能获得正标签和无标签样本的情况,即PU(positive and unlabeled)数据。针对此类PU数据建模,现有的研究大多需要类别先验(class prior),并在样本量充足的情况下才能取得较好的效果,当数据呈现“高维小样本”特...在分类问题中,常常会遇到只能获得正标签和无标签样本的情况,即PU(positive and unlabeled)数据。针对此类PU数据建模,现有的研究大多需要类别先验(class prior),并在样本量充足的情况下才能取得较好的效果,当数据呈现“高维小样本”特点时,模型估计效果往往不佳。基于此,本文提出了高维主动PU学习方法,通过对经典的A-optimality准则进行调整,不仅能够在高维情况下有效挑选新样本,提升模型估计效果,同时,显著减少了样本挑选的时间成本。此外,在挑选样本并标记的过程中,本文提出的方法无需初值即可对类别先验进行参数估计,减少先验信息错误带来的偏差。通过模拟实验发现,本文所提出的方法在变量选择、系数估计和分类预测上的效果均优于对比方法。最后,将本文提出的模型应用到实际的消费金融贷信用评分数据中,实证结果表明,利用本文提出的方法可以显著提高模型的预测效果。展开更多
文摘A 30-year-old female patient with Bartholin’s abscess was treated by acupuncture.Before visit,she had taken wuwei xiaodu yin for 4 consecutive days,but the symptoms were not alleviated markedly and pain was worsening.According to the conditions of tongue and pulse,and physical signs,the case was differ-entiated as pathogenic heat invading blood phase;and the injury of qi and yin by the herbal decoction the patient took before.In treatment with acupuncture,the treatment principle focused on benefiting qi,nourishing yin,expelling pus from the interior and draining toxin,and promoting the circulations of meridians to stop pain.He-sea points were selected to clear heat and resolve damp,and replenish the liver and kidney;and the acupoints of bladder meridian were combined under the guidance of“taiyang dominating the openings,”aiming at elevating qi and expelling toxin from the interior.Acupuncture was given once daily.After treated for 4 days,abscess was ruptured,pain disappeared,and no recurrence was presented and no sequelae happened during over 2 years of follow-up.This case shows that acupuncture is effective on Bartholin’s abscess.By reviewing this case,it is put forward that there may by the signs before the onset of Bartholin’s abscess,and the treatment should focus on opening a way for eliminating pathogens.Moreover,the clinical trial is required to verify acupuncture effect on this disease.
文摘在分类问题中,常常会遇到只能获得正标签和无标签样本的情况,即PU(positive and unlabeled)数据。针对此类PU数据建模,现有的研究大多需要类别先验(class prior),并在样本量充足的情况下才能取得较好的效果,当数据呈现“高维小样本”特点时,模型估计效果往往不佳。基于此,本文提出了高维主动PU学习方法,通过对经典的A-optimality准则进行调整,不仅能够在高维情况下有效挑选新样本,提升模型估计效果,同时,显著减少了样本挑选的时间成本。此外,在挑选样本并标记的过程中,本文提出的方法无需初值即可对类别先验进行参数估计,减少先验信息错误带来的偏差。通过模拟实验发现,本文所提出的方法在变量选择、系数估计和分类预测上的效果均优于对比方法。最后,将本文提出的模型应用到实际的消费金融贷信用评分数据中,实证结果表明,利用本文提出的方法可以显著提高模型的预测效果。
