Perbandingan Ketepatan Klasifikasi Kasus Kanker Serviks Menggunakan Regresi Logistik Biner Dan Support Vector Machine (SVM) (Studi di Yayasan Kanker Wisnuwardhana Surabaya)

Febbi Yustitia Aksari (2015) Perbandingan Ketepatan Klasifikasi Kasus Kanker Serviks Menggunakan Regresi Logistik Biner Dan Support Vector Machine (SVM) (Studi di Yayasan Kanker Wisnuwardhana Surabaya). Skripsi thesis, UNIVERSITAS AIRLANGGA.

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Abstract

Klasifikasi berfungsi mengelompokkan suatu objek ke dalam dua atau lebih kelompok berdasarkan pada faktor yang dapat mengidentifikasinya. Pada dasarnya setiap kasus penyakit ditemukan melalui hasil pemeriksaan tenaga medis yang membutuhkan waktu cukup

Item Type: Thesis (Skripsi)
Additional Information: KKC KK FKM. 85-15 Aks p
Uncontrolled Keywords: CANCER SERVIC
Subjects: R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Divisions: 10. Fakultas Kesehatan Masyarakat
Creators:
CreatorsNIM
Febbi Yustitia AksariNIM101111048
Contributors:
ContributionNameNIDN / NIDK
Thesis advisorHari Basuki NotobrotoNIDN0025066504
Depositing User: Unnamed user with email nafisa@lib.unair.ac.id
Date Deposited: 07 Sep 2015 12:00
Last Modified: 21 May 2020 12:29
URI: http://repository.unair.ac.id/id/eprint/23903
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