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) | ||||||
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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 | ||||||
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Depositing User: | Fahimatun Nafisa Nafisa | ||||||
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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