Prediction of hidden patterns in rheumatoid arthritis patients records using data mining

Author:

AlQudah Mohammad M.,Otair Mohammed A.,Alqudah Mohammad A. Y.,AlAzzam Sayer I.,Alqudah Safa’a Ali

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference49 articles.

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2. Akin M, Eyduran E, Reed B (2017) Use of RSM and CHAID data mining algorithm for predicting mineral nutrition of hazelnut. Plant Cell Tissue Organ Cult 128(2):303–316

3. Aletaha D, Smolen J (2005) The simplified disease activity index (SDAI) and the clinical disease activity index (CDAI): a review of their usefulness and validity in rheumatoid arthritis. Clin Exp Rheumatol 23(5 Suppl 39):S100–S108

4. Ali M, Eyduran E, Tariq MM, Tirink C, Abbas F, Bajwa MA, Baloch MH, Nizamani AH, Waheed A, Awan MA, Shah SS, Ahmad Z, Jan S (2015) Comparison of artificial neural network and decision tree algorithms used for predicting live weight at post weaning period from some biometrical characteristics in Harnai sheep. Pak J Zool 47:1579–1585

5. Ali A, Zhu Y, Zakarya M (2021) A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing. Multimed Tools Appl 80(20):31401–31433. https://doi.org/10.1007/s11042-020-10486-4

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