MODELING OF DENGUE HEMORRHAGIC FEVER CASES IN AWS HOSPITAL SAMARINDA USING BI-RESPONSES NONPARAMETRIC REGRESSION WITH ESTIMATOR SPLINE TRUNCATED

被引：0

作者：

Sifriyani ^{[1
,2
]}

Diu, Maria Yasinta ^{[2
]}

Mar'ah, Zakiyah ^{[3
]}

Anggraini, Dewi ^{[4
]}

Jalaluddin, Syatirah ^{[5
]}

机构：

[1] Mulawarman Univ, Fac Math & Nat Sci, Stat Study Program, Samarinda 75119, Indonesia

[2] Mulawarman Univ, Fac Math & Nat Sci, Lab Appl Stat, Samarinda 75119, Indonesia

[3] Univ Negeri Makassar, Fac Math & Nat Sci, Stat Study Program, Makassar 90224, Indonesia

[4] Lambung Mangkurat Univ, Fac Math & Nat Sci, Stat Study Program, Banjarmasin 70123, Indonesia

[5] Univ Islam Negeri Alauddin, Sch Med, Makassar 92118, Indonesia

来源：

COMMUNICATIONS IN MATHEMATICAL BIOLOGY AND NEUROSCIENCE | 2023年

关键词：

nonparametric regression; spline truncated; biresponse; dengue hemorrhagic fever; GCV;

D O I：

10.28919/cmbn/7888

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Research on innovations in the field of statistics implemented in the health sector. This research is the development of birespon nonparametric regression model with spline truncated approach. The purpose of this research is to model and determine the factors affecting the Dengue Hemorrhagic Fever Cases in AWS Hospital Samarinda using Bi-responses Nonparametric Regression with estimator Spline Truncated. The data used in this study were data on the platelet count of dengue fever patients when they first checked blood and after three days of treatment in 2022 as well as factors that were thought to have an effect. From the research results, the best model was biresponse nonparametric regression with three knot points where the minimum GCV value was 97.77 and R-2 value of 89.88%. Based on the test results, the factors affecting the response variable were the number of hematocrit and the level of hemoglobin in DHF patients.

引用

页数：12

共 17 条

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