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1.
Iran J Public Health ; 51(5): 999-1009, 2022 May.
Artigo em Inglês | MEDLINE | ID: mdl-36407747

RESUMO

Background: We aimed to investigate the high-risk factors of stroke through logistic regressive analysis and using LightGBM algorithm separately. The results of the two models were compared for instructing the prevention of stroke. Methods: Samples of residents older than 40 years of age were collected from two medical examination centers in Jiaxing, China from 2018 to 2019. Among the total 2124 subjects, 1059 subjects were middle-aged people (40-59 years old) and 1065 subjects were elder-aged people (≥60 years old). Their demographic characteristics, medical history, family history, eating habits etc. were recorded and separately input into logistic regressive analysis and LightGBM algorithm to build the prediction models of high-risk population of stroke. Four values including F1 score, accuracy, recall rate and AUROC were compared between the two models. Results: The risk factors of stroke were positively correlated with age, while negatively correlated with the frequency of fruit consumption and taste preference. People with low-salt diet were associated with less risk of stroke than those with high-salt diet, and male had higher stroke risk than female. Meanwhile, the risk factors were positively correlated with the frequency of alcohol consumption in the middle-aged group, and negatively correlated with the education level in the elder-aged group. Furthermore, the four values from LightGBM were higher than those from logistic regression, except for the recall value of the middle-aged group. Conclusion: Age, gender, family history of hypertension and diabetes, the frequency of fruit consumption, alcohol and dairy products, taste preference, and education level could as the risk predictive factors of stroke. The Model of using LightGBM algorithm is more accurate than that using logistic regressive analysis.

2.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-427897

RESUMO

Objective To investigate the related risk factors of prognosis in patients with systemic lupus erythematosus (SLE) complicated with lung infection.Methods The clinical data of 84 cases with SLE complicated with lung infection were analyzed retrospectively.Multivariate Logistic regressive analysis was made with death and survival as the independent variable.Results There were 23 out of 84 patients dead,and fatality rate was 27.38%.Multivariate Logistic regressive analysis showed that the urine volume,immune globulin treatment,cyclophosphamide pulse therapy,plasma albumin and SLE disease activity (SLEDAI) score were the risk factors that influenced the prognosis (OR =0.53,0.72,4.29,0.94,1.58,respectively,P<0.0l or <0.05).Conclusions The prognosis of patients with SLE complicated with lung infection is the result of the joint action of many factors.The higher SLEDAI score and cyclophosphamide pulse therapy are the independent risk factors of the prognosis.The increase of plasma albumin level and urine production and immune globulin treatment are helpful to decrease the fatality rate.

3.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-535167

RESUMO

Two times epidemiological investigation were made to acquire the rules and characters of the incidence and morbidity of rickets and the epidemical factors of rickets in spring and autumn 1987 in Dali county. The result showed that there were 930 parents with rickets in 1988 children aged 0~3 years. the morbidity rate was 46.8% and the incidence rate was 69.6% in the infants aged 0~1 years. The morbidity rate showd a tendency to decrease according as the age in creased. The differences of the morbidity rate among age brackets were very significant (P

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