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@article{J.Gauss38794, author = {Amirul Ikrom and Tarno Tarno and Tatik Widiharih}, title = {ANALISIS KETAHANAN HIDUP PADA PENDERITA TUBERKULOSIS PARU-PARU MENGGUNAKAN METODE REGRESI COX PROPORTIONAL HAZARD}, journal = {Jurnal Gaussian}, volume = {13}, number = {1}, year = {2024}, keywords = {Tuberculosis; Survival Analysis; Cox Regression.}, abstract = {Lung Tuberculosis is a type of infectious disease caused by the Mycobacterium Tuberculosis bacteria that attacks the lungs. The source of transmission of this disease is a patient with pulmonary tuberculosis. Indonesia has the third highest number of tuberculosis sufferers after India and China. To find out the factors that affect the patient's long survival time, survival analysis can be used. This study uses the Cox Proportional Hazard Regression method because this method can be used to determine the magnitude of the relationship between the dependent and independent variables. The research data was obtained from data on Lung Tuberculosis patients at the Kajen II Public Health Center from January-December 2021. The dependent variable was the length of time they were treated until they experienced an incident (death). The independent variables consisted of age, gender, and history of taking medication (regular or irregular). Based on the results of the analysis, all independent variables had an effect on the dependent variable. The results obtained are that the age category of children is the most at risk of dying, the female sex is the most at risk, and patients with a history of taking irregular medication are the most at risk of dying. }, issn = {2339-2541}, pages = {180--188} doi = {10.14710/j.gauss.13.1.180-188}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/38794} }
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