BACKGROUND Gastric cancer is one of the most common malignant tumors in the digestive system,ranking sixth in incidence and fourth in mortality worldwide.Since 42.5%of metastatic lymph nodes in gastric cancer belong t...BACKGROUND Gastric cancer is one of the most common malignant tumors in the digestive system,ranking sixth in incidence and fourth in mortality worldwide.Since 42.5%of metastatic lymph nodes in gastric cancer belong to nodule type and peripheral type,the application of imaging diagnosis is restricted.AIM To establish models for predicting the risk of lymph node metastasis in gastric cancer patients using machine learning(ML)algorithms and to evaluate their pre-dictive performance in clinical practice.METHODS Data of a total of 369 patients who underwent radical gastrectomy at the Depart-ment of General Surgery of Affiliated Hospital of Xuzhou Medical University(Xuzhou,China)from March 2016 to November 2019 were collected and retro-spectively analyzed as the training group.In addition,data of 123 patients who underwent radical gastrectomy at the Department of General Surgery of Jining First People’s Hospital(Jining,China)were collected and analyzed as the verifi-cation group.Seven ML models,including decision tree,random forest,support vector machine(SVM),gradient boosting machine,naive Bayes,neural network,and logistic regression,were developed to evaluate the occurrence of lymph node metastasis in patients with gastric cancer.The ML models were established fo-llowing ten cross-validation iterations using the training dataset,and subsequently,each model was assessed using the test dataset.The models’performance was evaluated by comparing the area under the receiver operating characteristic curve of each model.RESULTS Among the seven ML models,except for SVM,the other ones exhibited higher accuracy and reliability,and the influences of various risk factors on the models are intuitive.CONCLUSION The ML models developed exhibit strong predictive capabilities for lymph node metastasis in gastric cancer,which can aid in personalized clinical diagnosis and treatment.展开更多
An online ride-hailing driver(ORHD)refers to a driver who takes orders and provides rental car services to passengers via an online service platform.1 ORHD plays a significant role in the urban transport system worldw...An online ride-hailing driver(ORHD)refers to a driver who takes orders and provides rental car services to passengers via an online service platform.1 ORHD plays a significant role in the urban transport system worldwide,operating through many platforms.According to official data from the Chinese Ministry of Transport,a total of 1.6 million vehicle transport permits were issued by the end of March 2022.展开更多
目的探讨团体感觉运动训练对老年精神分裂症患者认知功能、阴性症状干预效果。方法选取63例老年精神科患者,用随机数字表法分为干预组(32例)和对照组(31例),干预组在精神科常规护理基础上进行团体感觉运动训练,每周3次,共24次,两组干预...目的探讨团体感觉运动训练对老年精神分裂症患者认知功能、阴性症状干预效果。方法选取63例老年精神科患者,用随机数字表法分为干预组(32例)和对照组(31例),干预组在精神科常规护理基础上进行团体感觉运动训练,每周3次,共24次,两组干预前后采用简易智能状态检查表(mini-mental state examination,MMSE)、阴性症状量表(scale for the assessment of negative symptoms,SANS)和改良Barthel指数(modified Barthelindex,MBI)评定干预效果,随访6个月比较患者复发率。结果干预8周后,干预组MMSE、MBI总分高于对照组,干预组SANS总分低于对照组,差异均有统计学意义(均P<0.05);干预组MMSE、MBI总分高于干预前,SANS总分低于干预前,差异均有统计学意义(均P<0.05);对照组MMSE、MBI、SANS总分干预前后差异均无统计学意义(均P>0.05);干预组复发率低于对照组(P<0.05)。结论团体感觉运动训练能改善老年精神分裂症患者认知功能和阴性症状,提高日常生活能力,降低复发率。展开更多
文摘BACKGROUND Gastric cancer is one of the most common malignant tumors in the digestive system,ranking sixth in incidence and fourth in mortality worldwide.Since 42.5%of metastatic lymph nodes in gastric cancer belong to nodule type and peripheral type,the application of imaging diagnosis is restricted.AIM To establish models for predicting the risk of lymph node metastasis in gastric cancer patients using machine learning(ML)algorithms and to evaluate their pre-dictive performance in clinical practice.METHODS Data of a total of 369 patients who underwent radical gastrectomy at the Depart-ment of General Surgery of Affiliated Hospital of Xuzhou Medical University(Xuzhou,China)from March 2016 to November 2019 were collected and retro-spectively analyzed as the training group.In addition,data of 123 patients who underwent radical gastrectomy at the Department of General Surgery of Jining First People’s Hospital(Jining,China)were collected and analyzed as the verifi-cation group.Seven ML models,including decision tree,random forest,support vector machine(SVM),gradient boosting machine,naive Bayes,neural network,and logistic regression,were developed to evaluate the occurrence of lymph node metastasis in patients with gastric cancer.The ML models were established fo-llowing ten cross-validation iterations using the training dataset,and subsequently,each model was assessed using the test dataset.The models’performance was evaluated by comparing the area under the receiver operating characteristic curve of each model.RESULTS Among the seven ML models,except for SVM,the other ones exhibited higher accuracy and reliability,and the influences of various risk factors on the models are intuitive.CONCLUSION The ML models developed exhibit strong predictive capabilities for lymph node metastasis in gastric cancer,which can aid in personalized clinical diagnosis and treatment.
基金This research received funds from National Social Science Fund of China(22&ZD142).
文摘An online ride-hailing driver(ORHD)refers to a driver who takes orders and provides rental car services to passengers via an online service platform.1 ORHD plays a significant role in the urban transport system worldwide,operating through many platforms.According to official data from the Chinese Ministry of Transport,a total of 1.6 million vehicle transport permits were issued by the end of March 2022.
文摘目的探讨团体感觉运动训练对老年精神分裂症患者认知功能、阴性症状干预效果。方法选取63例老年精神科患者,用随机数字表法分为干预组(32例)和对照组(31例),干预组在精神科常规护理基础上进行团体感觉运动训练,每周3次,共24次,两组干预前后采用简易智能状态检查表(mini-mental state examination,MMSE)、阴性症状量表(scale for the assessment of negative symptoms,SANS)和改良Barthel指数(modified Barthelindex,MBI)评定干预效果,随访6个月比较患者复发率。结果干预8周后,干预组MMSE、MBI总分高于对照组,干预组SANS总分低于对照组,差异均有统计学意义(均P<0.05);干预组MMSE、MBI总分高于干预前,SANS总分低于干预前,差异均有统计学意义(均P<0.05);对照组MMSE、MBI、SANS总分干预前后差异均无统计学意义(均P>0.05);干预组复发率低于对照组(P<0.05)。结论团体感觉运动训练能改善老年精神分裂症患者认知功能和阴性症状,提高日常生活能力,降低复发率。
