ABSTRACT
Background:Malnutrition is common in patients with cancer, whichadversely affectsthesurvival and quality of life ofcancer patients.However, there is no national data on the prevalence of malnutrition inChinese cancer patients. Thisstudy aims to evaluate the prevalenceof malnutrition and quality of life(QOL)ofChinese patients with localregional, recurrentor metastatic cancer,to address the prognostic value of nutritional status and QOLon the survival of cancer patients in China and to validate the patient-generated subjective global assessment (PG-SGA) questionnaire in Chinese cancer patients.Methods:Thisisanobservational,multi-centered,and hospital-based prospective cohort study.We aimed to recruit 50,000 cancer patients (age 18and above)overan 8-year period.Data collection will occur within 48hrafter patientsare admitted to hospital, 30-days after hospital admission, and the follow-up will be conducted1-8years after enrolment. The primary outcomeisoverall survival, and secondaryoutcomes arelength of hospital stay and hospital costs. Factors measured are demographic characteristics, tumor characteristics, anthropometry measurements,hematological measurement, body composition, PG-SGAscores,Karnofsky performance status scores,and QLQ C30 scores. This protocol wasapproved by local ethical committees of all the participant hospitals.Conclusions: This multi-centered, large-scale, long-time follow-up prospective study will help diagnose malnutrition in cancer patients in China, and identify the related risk factors associated with the negative outcomes. The anticipated results will highlight the need for a truly scientific appraisal of nutrition therapy, and help to improve outcomes among cancer patients in China.Trial Registration: The trial has been registered with the Chinese Clinical Trial Registry, ChiCTR1800020329. Registered on 19 December 2018
ABSTRACT
On the basis of summarizing association rules algorithm and algorithm optimization,the paper explores the rules of prescription compatibility in the scheme for apoplexy diagnosis and treatment through Traditional Chinese Medicine (TCM),establishes the TCM Electronic Medical Records (EMR) database,processes and analyzes the data based on the classical association rule-Apriori algorithm,introduces the parameter optimization mining results of correlated measurement parameters Kulc and IR,eliminates pseudo strong association principle,gets the drug compatibility with strong correlation and theoretical significance,and provides theoretical guidance and reference for apoplexy medication through TCM.
ABSTRACT
The paper introduces relevant concepts of parallelization,including Mapreduce programming frame and distributed document system of Hadoop,optimizes the traditional K-means algorithm,establishes parallel K-means clustering model,explores the medication rules of Traditional Chinese Medicine (TCM) for hypertension treatment,digs into 8 groups of prescriptions for differentiation treatment of hypertension through TCM,verifies authenticity of the conclusion by combining the theories of TCM.