Diagnostic performance of classification trees and hematological functions in hematologic disorders: an application of multidimensional scaling and cluster analysis

Rahim, Fakher; Kazemnejad, Anoshirvan; Jahangiri, Mina; Malehi, Amal Saki; Gohari, Kimiya

doi:10.1186/s12911-021-01678-5

BMC Medical Informatics and Decision Making

Table 2 F-measure and AUC of each hematological index and classification tree algorithm for differentiation between iron deficiency anemia (IDA) and β‐thalassemia trait (βTT) with their 95% confidence interval

From: Diagnostic performance of classification trees and hematological functions in hematologic disorders: an application of multidimensional scaling and cluster analysis

Discriminant method	F-measure (%)	AUC	Standard Error	95% CI	P–value
CART/GUIDE	93.04	0.908	0.009	0.891–0.925	< 0.001
J48	94.61	0.926	0.008	0.909–0.942	< 0.001
QUEST	92.12	0.889	0.009	0.882–0.918	< 0.001
CRUISE	95.54	0.940	0.007	0.926–0.955	< 0.001
Ctree	92.80	0.906	0.009	0.889–0.924	< 0.001
Evtree	93.99	0.918	0.009	0.901–0.934	< 0.001
C50	95.64	0.939	0.007	0.924–0.954	< 0.001
LOTUS	75.85	0.697	0.016	0.666–0.729	< 0.001
SVM	86.88	0.840	0.013	0.815–0.865	< 0.001
England and Fraser (E&F)	72.03	0.744	0.012	0.721–0.767	< 0.001
RBC	83.02	0.774	0.013	0.749–0.799	< 0.001
Mentzer	88.69	0.856	0.011	0.836–0.877	< 0.001
Srivastava	80.61	0.794	0.012	0.771–0.817	< 0.001
Shine and Lal (S&L)	78.06	0.577	0.008	0.560–0.593	< 0.001
Bessman (RDW)	6.76	0.421	0.009	0.401–0.440	< 0.001
Ricerca	74.89	0.519	0.007	0.505–0.532	0.281
Green and King (G&K)	83.84	0.811	0.012	0.788–0.834	< 0.001
Das Gupta	79.39	0.664	0.013	0.639–0.689	< 0.001
Jayabose (RDWI)	84.62	0.786	0.012	0.762–0.811	< 0.001
Telmissani—MCHD	74.76	0.514	0.006	0.502–0.526	0.419
Telmissani—MDHL	65.67	0.704	0.012	0.679–0.727	< 0.001
Huber—Herklotz	29.52	0.530	0.011	0.509–0.551	0.080
Kerman I	87.22	0.803	0.012	0.780–0.826	< 0.001
Kerman II	89.08	0.865	0.010	0.845–0.885	< 0.001
Sirdah	86.06	0.854	0.010	0.835–0.874	< 0.001
Ehsani	89.31	0.867	0.010	0.847–0.887	< 0.001
Keikhaei	83.49	0.797	0.012	0.773–0.820	< 0.001
Nishad	85.93	0.819	0.012	0.797–0.843	< 0.001
Wongprachum	81.83	0.777	0.013	0.752–0.801	< 0.001
Sehgal	88.72	0.824	0.011	0.801–0.846	< 0.001
Pornprasert (MCHC)	27.57	0.337	0.014	0.305–0.370	< 0.001
Sirachainan	41.07	0.547	0.013	0.523–0.572	0.006
Bordbar	86.43	0.775	0.012	0.752–0.798	< 0.001
Matos and Carvalho	80.36	0.786	0.012	0.763–0.809	< 0.001
Janel (11 T)	83.76	0.838	0.010	0.818–0.858	< 0.001
CRUISE	77.02	0.709	0.014	0.683–0.736	< 0.001
Index26	86.63	0.855	0.010	0.835–0.875	< 0.001
Hisham	81.39	0.759	0.013	0.733–0.784	< 0.001
Hameed	33.07	0.558	0.010	0.538–0.578	0.001
Ravanbakhsh-F1	82.77	0.771	0.013	0.746–0.795	< 0.001
Ravanbakhsh-F2	75.12	0.661	0.014	0.634–0.689	< 0.001
Ravanbakhsh-F3	82.42	0.755	0.013	0.729–0.779	< 0.001
Ravanbakhsh-F4	83.49	0.732	0.012	0.708–0.756	< 0.001
Zaghloul1	42.01	0.522	0.014	0.495–0.548	0.207
Zaghloul2	41.81	0.516	0.014	0.489–0.543	0.341
Kandhrol1	56.06	0.475	0.015	0.447–0.504	0.153
Kandhrol2	75.88	0.671	0.014	0.644–0.697	< 0.001
Alparslan	79.04	0.694	0.013	0.668–0.719	< 0.001
Merdin1	81.99	0.793	0.012	0.769–0.817	< 0.001
Merdin2	72.01	0.732	0.012	0.708–0.756	< 0.001
Roth	77.97	0.574	0.008	0.558–0.591	< 0.001
Sargolzaie	60.42	0.649	0.013	0.623–0.674	< 0.001

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