Table 6a.

Comparative analysis.

Patient ID	DROM	DRPS	${\mathit{e}}_{\mathit{i}}$	(1$-{\mathit{e}}_{\mathit{i}}$)	Disease status
1	0.8128	0.7647	0.0481	0.9519	malaria
2	0.7638	0.7059	0.0579	0.9421	malaria
3	0.7925	0.7647	0.0278	0.9722	typhoid
4	0.8996	0.8824	0.0172	0.9828	malaria typhoid
5	0.9824	0.9412	0.0412	0.9588	typhoid
6	0.9412	0.8745	0.0667	0.9333	malaria
7	0.8235	0.7864	0.0371	0.9629	malaria
8	0.8824	0.8231	0.0593	0.9407	malaria typhoid
9	0.7059	0.6942	0.0117	0.9883	neither
10	0.8235	0.7864	0.0371	0.9629	malaria typhoid
11	0.7059	0.6942	0.0117	0.9883	neither
12	0.8824	0.8231	0.0593	0.9407	malaria
13	0.7059	0.6942	0.0117	0.9883	neither
14	0.8150	0.7833	0.0317	0.9683	typhoid
15	0.8525	0.7814	0.0711	0.9289	typhoid
16	0.8688	0.8134	0.0554	0.9446	malaria typhoid
17	0.8868	0.8113	0.0755	0.9245	malaria typhoid
18	0.7730	0.7025	0.0705	0.9295	malaria
19	0.8753	0.8227	0.0526	0.9474	typhoid
20	0.6731	0.6221	0.051	0.949	neither
21	0.7654	0.7243	0.0411	0.9589	malaria
22	0.9388	0.8267	0.1121	0.8879	typhoid
23	0.9134	0.8544	0.059	0.941	malaria
24	0.7674	0.7215	0.0459	0.9541	malaria
25	0.7445	0.7087	0.0358	0.9642	typhoid
26	0.8653	0.8262	0.0391	0.9609	malaria
27	0.8444	0.8045	0.0399	0.9601	malaria typhoid
28	0.8529	0.8153	0.0376	0.9624	typhoid
29	0.7806	0.7234	0.0572	0.9428	malaria
30	0.7441	0.7167	0.0274	0.9726	malaria
31	0.7402	0.7014	0.0388	0.9612	malaria
32	0.7961	0.7392	0.0569	0.9431	malaria typhoid
33	0.7964	0.7554	0.041	0.959	malaria
34	0.9581	0.9221	0.036	0.964	typhoid
35	0.8298	0.7552	0.0746	0.9254	malaria typhoid
36	0.7515	0.7261	0.0254	0.9746	malaria
37	0.8704	0.8278	0.0426	0.9574	typhoid
38	0.7041	0.6447	0.0594	0.9406	neither
39	0.6762	0.6255	0.0507	0.9493	neither
40	0.7719	0.7435	0.0284	0.9716	malaria
Total			1.8435	38.1565

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.