Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus

Pencarian berdasarkan :

SEMUA Pengarang Subjek ISBN/ISSN Pencarian Spesifik

Pencarian terakhir:

e-journal

Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus

György J. Simon[et.al.] - Nama Orang;

Early detection of patients with elevated risk of developing diabetes mellitus is critical to the improved prevention and overall clinical management of these patients. We aim to apply association rule mining to electronic medical records (EMR) to discover sets of risk factors and their corresponding subpopulations that represent patients at particularly high risk of developing diabetes.
Given the high dimensionality of EMRs, association rule mining generates a very large set of rules which we need to summarize for easy clinical use. We reviewed four association rule set summarization techniques and conducted a comparative evaluation to provide guidance regarding their applicability, strengths and weaknesses. We proposed extensions to incorporate risk of diabetes into the process of finding an optimal summary. We evaluated these modified techniques on a real-world prediabetic patient cohort. We found that all four methods produced summaries that described subpopulations at high risk of diabetes with each method having its clear strength. For our purpose, our extension to the Buttom-Up Summarization (BUS) algorithm produced the most suitable summary. The subpopulations identified by this summary covered most high-risk patients, had low overlap and were at very high risk of diabetes.
Index Terms—Data mining, association rules, survival analysis, association rule summarization

Ketersediaan

Tidak ada salinan data

Informasi Detail

Judul Seri: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
No. Panggil: -
Penerbit: New York : IEEE., 2015
Deskripsi Fisik: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 27, NO. 1, JANUARY 2015
Bahasa: English
ISBN/ISSN: -
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: VOL. 27, NO. 1
Subjek: TEKNIK
Info Detail Spesifik: -
Pernyataan Tanggungjawab: yuli/agus

Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas

FULL TEXT. Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus

Komentar

Anda harus masuk sebelum memberikan komentar