INFORMASI DATA REKAM MEDIS PASIEN DI RS BEDAH MITRA KABUPATEN LAMONGAN DENGAN METODE NAIVE BAYES DAN CLUSTERING DALAM PENENTUAN PENYAKIT HYPERTENSI

Kemal Farouq Mauladi

Sari


Medical records have a very broad sense, not only as a recording activity, but has a notion as a system of medical record recordings that start recording during the patient get medical service, followed by handling medical records file that includes the storage and the release of files from the storage for Serve requests or loans if from patients or for other purposes.
Documents of patient medical record data from patient card data, especially patients with hypertension who at the time of control to the partner surgery hospital will from the medical record card document will be scanned or scanned into computer data base as data base storage efficiently and regularly , To then be tested with data mining by using clustering and naive baiyes to determine the number of patients based on the place or area of patients who are frequently treated at the partner surgical hospital.

Kata Kunci


Patient Medical Documents, Clustering, Naive bayes

Teks Lengkap:

PDF

Referensi


Abidi. 2001. Manajemen Pengetahuan dalam Perawatan Kesehatan. Bandung.

Destuardi. Klasifikasi Emosi Untuk teks Bahasa Indonesia Menggunakan Metode Naive Bayes. Surabaya 13/Agustus/2009.

Irwan Budiman, Toni Prahasto, dan Yuli Christyono. Data Clustering Menggunakan Metodologi Crisp-Dm untuk Pengenalan Pola Proporsi Pelaksanaan Tridharma. Seminar Nasional Aplikasi Teknologi Informasi 2012 (SNATI 2012). Yogyakarta.

Prasetyo, Eko. 2012. Data Mining Konsep dan Aplikasi menggunakan MATLAB. Andi. Yogyakarta.

Nugroho, Bunafit. 2014. Aplikasi Sistem Pakar Dengan PHP Dan Editor Dreamweaver. Gava Media. Yogyakarta.

Sharon Gondo Diputro. 2007. Rekam Medis dan Sistem Informasi Kesehatan di Pelayanan Kesehatan Primer. Bandung.




DOI: https://doi.org/10.30736/jti.v2i1.24