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Traditional Chinese Medicine Constitution and clinical data Association with Machine Learning for Prediction of Spontaneous Abortion

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clinical Complementary Medicine and Pharmacology 2022年第2期2卷 1-9页

作者： Yan Liu Yangyang Geng Liuqing Yang Shate Xiang Qiaotong Wang Lanyawen Hu Ping Ye The Second clinical medical college Zhejiang Chinese Medical UniversityHangzhou 310053ZhejiangChina State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001HenanChina Tongde hospital of Zhejiang province Hangzhou 310012ZhejiangChina Zhejiang Chinese medical university Hangzhou 310053ZhejiangChina

Background:Early prevention of Spontaneous Abortion(SA)is essential for the treatment of recurrent spontaneous ***:In this retrospective study,a variety of machine learning methods were used to develop predictive models and diagnose the potential risk of ***:A total of 663 pregnant women participated in the case-control study,586 of which were SA patients and 77 were normal parturition *** research data included 25 features of Traditional Chinese Medicine(TCM)constitution and clinical data related to *** work utilized 8 machine learning techniques including logistic regression,gradient boosting decision tree,k-nearest neighbor,classification and r-egression tree,multilayer perceptron,support vector machine,random forest and XG-Boost to predict *** performances of the applied models were evaluated by using the method of 10-fold cross-validation and by computing the diagnostic test characteristics,including accuracy,precision,recall,𝐹1 score,and the AUC of ROC ***:The𝐹1 scores of these eight machine learning techniques were all above 97.5%.Among them,gradient boosting decision tree had the best prediction result on *** accuracy,precision,recall,𝐹1 score,and the AUC of ROC curve of gradient boosting decision tree were 97.9%,99%,98.6%,98.8%,and 97.3%,***:The paper has accurately predicted the risk of SA combined with TCM constitution and clinical data.

关键词： Spontaneous abortion Machine learning TCM constitution clinical data Prediction modeling

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Preliminary Exploration of the Initial Diagnostic Prediction Model of Moderate Coronavirus Disease 2019 (2019-nCoV) Based on clinical data

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Open Journal of Nursing 2021年第1期11卷 7-16页

作者： Ritian Zha Jingmin Gui Jiancheng Hao Yungui Zhou Wensheng Jiang Shangming Chen Jiajia Zhao Ruiping Xuan Zhendong Jiang Xiaoqin Liu Ping Wang Lei Zhang Department of Respiratory Diseases The First People’s Hospital of Wuhu Wuhu China

Objective: To explore those differences and relationships of the initial diagnostic clinical data between confirmed cases of 2019-nCoV and suspected cases of COVID-19, and then to establish prediction models for predicting the probability of the first diagnosis of 2019-nCoV. Methods: A total of 81 suspected cases and 87 confirmed cases of moderate 2019-nCoV diagnosed initially in the isolation wards of the First People’s Hospital of Wuhu and the People’s Hospital of Wuwei and Wuhan Caidian Module Hospital with the help of our hospital doctors were gathered, and retrospectively analyzed. Results: The most common symptoms were fever (76.79%) and cough (64.29%) in the total of 168 cases. The median age was 45 (35 - 56) years old in the 87 confirmed cases of moderate 2019-nCoV, older than the median age 36 (29 - 50) in the 81 suspected cases. There were significant more in the former than in the latter in the incidence of myalgia, ground-glass opacity (GGO), invasions of lesion in the peripheral lobes, vascular thickening and bronchial wall thickening, interlobular septal thicking, and small pulmonary nodules. On the contrary, there were less in the former than in the latter in the total number of leukocytes and neutrophils in blood routine examination and the levels of procalcitonin (PCT). Two groups were statistically significantly different (P P = ex/(1 + ex), x =

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*** database of clinical data and biological material for research on uveal melanoma

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Annals of Eye Science 2018年第1期 453-453页

作者： Solange Landreville Frédéric Mouriaux Patrick J.Rochette Christian Salesse Mohib W.Morcos Claudine Bellerive Sylvain Guérin Centre de recherche du CHU de Québec-UniversitéLaval Hôpital du Saint-SacrementQuébecQCCanada Département d’ophtalmologie et d’ORL-CCF Facultéde médecineUniversitéLavalQuébecQCCanada Centre de recherche en organogénèse expérimentale de l’UniversitéLaval/LOEX QuébecQCCanada Département d'ophtalmologie Facultéde médecineUniversitéde Rennes 1RennesFrance Service d’ophtalmologie CHU de RennesRennesFrance

Background:Sharing biological material and clinical data from patients with uveal ***:Uveal melanoma is the most common intraocular malignancy in the adult *** uveal melanoma is primarily a sporadic cancer and familial cases are rare,it is difficult to prevent or detect *** effective treatment of ocular tumors,more than 50%of patients develop incurable liver metastases mainly in the 5-10 years following the detection of the primary *** cancer is relatively rare and the obtained biopsies are very *** 20 samples are taken each year in *** provincial infrastructure is made of biological material from donors with uveal melanoma and a large clinical *** tumor biopsies are used for culturing cell lines and the creation of a DNA/RNA library used for genomic and genetic ***:This infrastructure plays an important role in the achievement of various research programs for a better understanding of genetic and environmental factors involved in the development of melanoma and the spread of *** allows collaboration with other researchers at a provincial,national and international level in order to make progress in basic and clinical research on uveal ***:The biological material and clinical data of this infrastructure are available upon request to VHRN members whose research project was approved by the ethics committee of the institution.

关键词： Uveal melanoma tumor biopsies blood clinical data

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Building on the backbone of CD47-based therapy in cancer:Combination strategies,mechanisms,and future perspectives

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Acta Pharmaceutica Sinica B 2023年第4期13卷 1467-1487页

作者： Zi-Han Ye Wei-Bang Yu Mu-Yang Huang Jun Chen Jin-Jian Lu State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoMacao 999078China Zhongshan School of Medicine Sun Yat-sen UniversityGuangzhou 510080China Department of Pharmaceutical Sciences Faculty of Health SciencesUniversity of MacaoMacao 999078China MoE Frontiers Science Center for Precision Oncology University of MacaoMacao 999078China Guangdong-Hong Kong-Macao Joint Lab on Chinese Medicine and Immune Disease Research University of MacaoMacao 999078China

Described as a“don't eat me”signal,CD47 becomes a vital immune checkpoint in *** interaction with signal regulatory protein alpha(SIRPa)prevents macrophage *** recent years,a growing body of evidences have unveiled that CD47-based combination therapy exhibits a superior anti-cancer *** clinical trials about CD47 have adopted the regimen of collaborating with other therapies or developing CD47-directed bispecific antibodies,indicating the combination strategy as a general trend of the *** this review,clinical and preclinical cases about the current combination strategies targeting CD47 are collected,their underlying mechanisms of action are discussed,and ideas from future perspectives are shared.

关键词： CD47 Combination strategies Bispecific antibodies clinical data Preclinical data Cancer Mechanisms Future perspectives

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Research TH17 function in severe asthma based ABM

Research TH17 function in severe asthma based ABM

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第四届全国生物信息学与系统生物学学术大会

作者：宋丽艳邓亲恺广州医学院物理学教研室南方医科大学生物信息系

In order to explore the TH17 function in severe asthma,this paper uses the BIS platform,according to the DCS models simulated by BIS,TH17 models(ABM) has been simulated,researches interaction caused by TH17 cells betw... 详细信息

关键词： BIS simulation TH17 severe asthma function immune system innate immunity acquired immunity interaction IL23 DCS clinical data cigarette smoke clinical treatment

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This work was supported in part by US Department of Energy Los Alamos National Laboratory contract 47145 and UT-Battelle LLC contract 4000159447 program manager Laura Biven.

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Visual Informatics 2020年第2期4卷 122-131页

作者： Yiran Li Takanori Fujiwara Yong K.Choi Katherine K.Kim Kwan-Liu Ma Department of Computer Science University of CaliforniaDavisUnited States Betty Irene Moore School of Nursing University of CaliforniaDavisUnited States School of Medicine University of CaliforniaDavisUnited States

There is a growing trend of applying machine learning methods to medical datasets in order to predict patients’future *** some of these methods achieve high performance,challenges still exist in comparing and evaluating different models through their interpretable *** analytics can help clinicians improve evidence-based medical decision *** this work,we develop a visual analytics system that compares multiple models’prediction criteria and evaluates their *** our system,users can generate knowledge on different models’inner criteria and how confidently we can rely on each model’s prediction for a certain *** a case study of a publicly available clinical dataset,we demonstrate the effectiveness of our visual analytics system to assist clinicians and researchers in comparing and quantitatively evaluating different machine learning methods.

关键词： clinical data XAI Tree-based machine learning models Model consistency Measures of dependence Visual analytics

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