关于糖尿病症状的研究——基于贝叶斯统计方法

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

压缩包中有论文、代码、数据，该论文为统计学院《贝叶斯统计》的结课论文，论文为全英文，以下为论文摘要：
Abstract:
Studies have shown that diabetes is becoming one of the major risk factors to people’s health.
Diabetes involve problems with the serum levels of glucose and insulin, but its inception could
be reflected by a series of other symptoms. This case aims at applying some Bayesian methods
to construct a Bayesian logistic regression model and a naive Bayes model. We want to classify
samples with and without diagnosed diabetes from predictive variables. Also, we compare their
performance of different models including traditional logistic regression model. Three models’ hit
rates are more than 0.7, and the hit rate of the naive Bayes model is less than the other models.
These classifiers may classify some healthy people as diabetes patients, but some patients might
be misdiagnosed as normal person.

Keywords: diabetes, logistic regression, Bayesian regression, naive Bayes
贝叶斯统计论文.rar (204.49 KB, 需要: RMB 10 元)

2022-10-30 17:16:24 上传

贝叶斯统计案例分析
需要: RMB 10 元  [购买]

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：贝叶斯统计 糖尿病症状 统计方法 贝叶斯 糖尿病

感谢分享，点赞支持