Analisis Survival Pasien Kanker Payudara di RS Onkologi Surabaya dengan Pendekatan Parametrik

Putri, Anindya Shafira (2019) Analisis Survival Pasien Kanker Payudara di RS Onkologi Surabaya dengan Pendekatan Parametrik. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kanker payudara adalah salah satu kanker ganas di dunia. Setiap tahun 12 juta orang di seluruh dunia menderita kanker dan 7,6 juta di antaranya meninggal dunia, dari jumlah tersebut 506.000 disebabkan oleh kanker payudara. Berdasarkan data WHO, 69% dari kematian kanker payudara didunia terjadi di negara berkembang dan metastasis menjadi penyebab utama. Metastasis merupakan penyebaran sel kanker ke beberapa jaringan disekitarnya maupun ke organ lain melalui pembuluh darah atau pembuluh limfe. Analisis survival adalah analisis mengenai data yang diperoleh dari catatan waktu yang dicapai suatu objek sampai terjadinya suatu peristiwa tertentu yang disebut sebagai failure event. Analisis survival dengan pendekatan parametrik digunakan pada data 198 pasien kanker payudara di RS Onkologi Surabaya dari tahun 2011 hingga 2019. Data survival time pasien berdistribusi log-logistik 2 parameter. Performansi regresi log-logistik 2 parameter lebih baik dan lebih sesuai dengan data waktu survival pasien kanker payudara di RS Onkologi Surabaya. Pada pemodelan regresi log-logistik 2 parameter didapatkan model terbaik yang memiliki nilai AIC terkecil sebesar 178,52 yang terdiri dari faktor usia, riwayat keluarga, grade, riwayat penyakit, status reseptor ER, PR dan HER2, stadium, operasi, kemoterapi, dan terapi radiasi. Faktor-faktor tersebut berpengaruh signifikan terhadap terhadap probabilitas pasien bertahan dari awal terdiagnosis hingga mengalami metastasis.
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Breast cancer is one of the most malignant cancers in the world. Every years about 12 million people in worldwide have this cancer and 7.6 million of them died, 506,000 of them are caused by breast cancer. Based on WHO data, 69% of breast cancer deaths in the world occur in developing countries and metastatic is the main cause. Metastatic is the spreading of cancer cells to several surrounding tissues and organs. others through blood vessels or lymph vessels. Survival analysis or analysis of survival is an analysis of data obtained from the record of time achieved by an object until the occurrence of a certain event is called a failure event. Survival analysis using the parametric was used in the data of 198 breast cancer patients at Surabaya Oncology Hospital from 2011 to 2019. The patient's survival time data have a significant distribution that is log-logistics 2 parameters. Log-logistic 2 parameters regression have a better performance and more suitable with survival time data of breast cancer patients at Surabaya Oncology Hospital. In log-logistic 2 parameters regression modeling obtained the best model which has the smallest AIC value of 178,52. It consists of age, family history, grade, history of breast disease, receptor status of ER, PR and HER2, stage, surgery, chemotherapy, and radiotherapy. These factors have a significant effect on the probability of patients surviving from the initial diagnosis to metastatic.

Item Type: Thesis (Other)
Additional Information: RSSt 519.536 Put a-1 2019
Uncontrolled Keywords: Analisis Survival, Kanker Payudara, Metastasis, Pendekatan Parametrik, Survival time
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics
H Social Sciences > HA Statistics > HA31.3 Regression. Correlation
Divisions: Faculty of Mathematics, Computation, and Data Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Anindya Shafira Putri
Date Deposited: 12 Dec 2023 01:43
Last Modified: 12 Dec 2023 01:43
URI: http://repository.its.ac.id/id/eprint/64115

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