困境中的思路与热点的冷思考

肿瘤的发病率一直呈上升的趋势,虽然治疗的方法层出不穷,但从整体上看,肿瘤的治疗并未达到我们所期望的效果,药物治疗的耐药性和疗效问题、肿瘤治疗方式的选择和确定等问题都在临床中遇到了挑战和陷入了困惑.     

A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences provide the opportunity to understand biological markers related to suicide, computer science provides opportunities to understand suicide thought markers. In this novel prospective, multimodal, multicenter, mixed demographic study, we used machine learning to measure and fuse two classes of suicidal thought markers: verbal and nonverbal. Machine learning algorithms were used with the subjects’ words and vocal characteristics to classify 379 subjects recruited from two academic medical centers and a rural community hospital into one of three groups: suicidal, mentally ill but not suicidal, or controls. By combining linguistic and acoustic characteristics, subjects could be classified into one of the three groups with up to 85% accuracy. The results provide insight into how advanced technology can be used for suicide assessment and prevention.     

用生物心理社会医学模式指导疾病的诊治

惊恐障碍作为一种精神科疾病,由于伴有明显的躯体化症状,使大多患者首诊于综合医院非精神科,极易引起该病的误诊误治,同时也浪费了大量的卫生资源.针对这一情况,本期"临床决策研究"栏目中熊新英撰写的"从惊恐障碍看生物心理社会医学模式的必要性和紧迫性",对于惊恐障碍就诊于综合医院误诊率高的原因及高误诊率导致的后果进行了分析,并提出了相应的对策.     

客观全面地认识和治疗疾病

本期"临床决策研究"栏目由杨宁等撰写的"客观认识心脏介入治疗"对目前心脏介入治疗进行了客观评价和反思,认为目前由于医疗卫生体制不完善,医疗机构过分追求经济效益等因素的影响,使心脏介入治疗技术出现了偏差,文章指出心脏介入治疗的应用,应该严格把握适应证,社会效益与经济效益相结合,在配备好的硬件设施的同时,更要重视软件的培养,作者强调应用心脏介入治疗技术治疗心脏疾病,必须将自然科学和社会科学结合起来,用最恰当、最合适的诊治方案为患者去除病痛."