Table 6b.

Comparative analysis.

Patient ID	DROM	DRPS	${\mathit{e}}_{\mathit{i}}$	(1$-{\mathit{e}}_{\mathit{i}}$)	Disease status
41	0.7560	0.7157	0.0403	0.9597	typhoid
42	0.8692	0.7841	0.0851	0.9149	malaria
43	0.8110	0.7981	0.0129	0.9871	malaria typhoid
44	0.8419	0.7898	0.0521	0.9479	malaria typhoid
45	0.8154	0.7628	0.0526	0.9474	malaria
46	0.8641	0.8124	0.0517	0.9483	typhoid
47	0.7765	0.7283	0.0482	0.9518	malaria
48	0.8477	0.7768	0.0709	0.9291	malaria
49	0.8585	0.8161	0.0424	0.9576	typhoid
50	0.8395	0.7827	0.0568	0.9432	malaria
51	0.7357	0.6742	0.0615	0.9385	neither
52	0.8660	0.8098	0.0562	0.9438	malaria
53	0.7165	0.6731	0.0434	0.9566	neither
54	0.8125	0.7815	0.031	0.969	malaria typhoid
55	0.8614	0.8198	0.0416	0.9584	malaria typhoid
56	0.8524	0.8354	0.017	0.983	malaria
57	0.7407	0.7297	0.011	0.989	malaria
58	0.8498	0.8192	0.0306	0.9694	malaria
59	0.7322	0.7157	0.0165	0.9835	typhoid
60	0.8082	0.7977	0.0105	0.9895	malaria typhoid
61	0.8734	0.8671	0.0063	0.9937	typhoid
62	0.7345	0.6924	0.0421	0.9579	neither
63	0.8548	0.8486	0.0062	0.9938	malaria typhoid
64	0.8101	0.7948	0.0153	0.9847	malaria
65	0.8277	0.8042	0.0235	0.9765	malaria
66	0.8415	0.8171	0.0244	0.9756	typhoid
67	0.8613	0.8537	0.0076	0.9924	malaria
68	0.7109	0.6898	0.0211	0.9789	neither
69	0.7645	0.7571	0.0074	0.9926	malaria
70	0.8051	0.7732	0.0319	0.9681	malaria
71	0.9189	0.8848	0.0341	0.9659	typhoid
72	0.9334	0.8928	0.0406	0.9594	typhoid
73	0.7635	0.7423	0.0212	0.9788	malaria
74	0.8903	0.8644	0.0259	0.9741	malaria
75	0.8384	0.8192	0.0192	0.9808	typhoid
76	0.7217	0.6911	0.0306	0.9694	neither
77	0.7979	0.7533	0.0446	0.9554	malaria
78	0.8142	0.7864	0.0278	0.9722	malaria
79	0.9125	0.8881	0.0244	0.9756	typhoid
80	0.7058	0.6953	0.0105	0.9895	neither
Total			1.297	38.703

DROM = Diagnosis Results of the Orthodox Method, DRPS = Diagnosis Results of the Proposed.

System, $e_i$ = error in diagnosis, and (1$-e_i$) = accuracy of the proposed system.