Comparison of two data mining techniques in labeling diagnosis to Iranian Pharmacy Claim Dataset: Artificial Neural Network (ANN) versus decision tree model

Rezaei-Darzi, E; Farzadfar, F; Hashemi-Meshkini, A; Navidi, I; Mahmoudi, M; Varmaghani, M; Mehdipour, P; Alamdari, MS; Tayefi, B; Naderimagham, S; Soleymani, F; Mesdaghinia, A; Delavari, A; Mohammad, K

Comparison of two data mining techniques in labeling diagnosis to Iranian Pharmacy Claim Dataset: Artificial Neural Network (ANN) versus decision tree model

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posted on 2024-11-20, 03:20 authored by E Rezaei-Darzi, F Farzadfar, A Hashemi-Meshkini, I Navidi, M Mahmoudi, M Varmaghani, P Mehdipour, MS Alamdari, B Tayefi, S Naderimagham, F Soleymani, A Mesdaghinia, A Delavari, K Mohammad

Comparison of two data mining techniques in labeling diagnosis to Iranian Pharmacy Claim Dataset: Artificial Neural Network (ANN) versus decision tree model

History

Journal

Archives of Iranian Medicine

Volume

17

Pagination

837-843

Location

Tehran, Iran

Open access

No

ISSN

1029-2977

eISSN

1735-3947

Language

eng

Issue

12

Publisher

Academy of Medical Sciences of I.R. Iran

Publication URL

https://research-ebsco-com.ezproxy-f.deakin.edu.au/linkprocessor/plink?id=97d734d0-f75c-33d0-8780-d88e5b962a70

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Keywords

ACCURACY Artificial neural networks BURDEN CANCER decision tree DISEASE PREVALENCE General & Internal Medicine insurance prescriptions Life Sciences & Biomedicine Medicine, General & Internal PHYSICIAN CLAIMS POPULATION Science & Technology SENSITIVITY

Comparison of two data mining techniques in labeling diagnosis to Iranian Pharmacy Claim Dataset: Artificial Neural Network (ANN) versus decision tree model

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Volume

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Location

Open access

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Publication URL

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