Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study

Kohli, Manu; Kar, Arpan Kumar; Bangalore, Anjali; AP, Prathosh

doi:10.1186/s40708-022-00164-6

Brain Informatics

Table 9 Month-wise recommendations accuracy of mastered domains and targets on effectiveness measure

From: Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study

Participant	Age in months	Gender	Similarity model						Collaborative filtering model
			Months 1–3		Months 4–6		Months 1–6		Months 1–3		Months 4–6		Months 1–6
			Domain code	Target code	Domain code	Target code	Domain code	Target code	Domain code	Target code	Domain code	Target code	Domain code	Target code
Participant 1	50.4	Male	88	98	94	91	82	93	80	40	80	50	80	80
Participant 2	60	Male	88	87	94	89	82	84	60	60	60	60	80	60
Participant 3	60	Male	71	96	94	92	76	92	60	40	100	60	80	40
Participant 4	72	Male	71	90	94	96	76	90	60	60	80	40	80	80
Participant 5	48	Male	100	78	94	90	94	91	100	100	60	80	60	50
Participant 6	57.6	Male	100	99	94	96	94	89	80	50	80	60	60	50
Participant 7	66	Female	88	87	94	93	100	91	60	60	60	40	80	40
Participant 8	55.2	Female	88	97	94	91	100	92	100	100	100	80	100	80
Participant 9	31.2	Male	65	98	71	96	53	99	80	80	80	60	100	80
Participant 10	57.6	Male	65	89	71	90	53	60	80	60	100	100	60	60
Participant 11	45.6	Male	94	92	53	99	82	82	80	80	60	80	80	40
Participant 12	50.4	Male	94	96	53	60	82	92	100	40	40	40	80	40
Participant 13	54	Male	71	99	94	87	94	93	60	60	50	50	60	40
Participant 14	46.8	Male	71	60	94	99	94	91	40	40	40	60	40	40
Participant 15	49.2	Male	94	93	88	87	88	92	70	60	40	40	80	50
Participant 16	49.3	Male	94	95	88	91	88	90	100	100	80	60	100	50
Participant 17	33.6	Male	71	91	65	98	88	87	100	100	40	50	40	60
Participant 18	62.4	Male	71	91	65	89	88	91	60	60	60	50	100	60
Participant 19	45.6	Female	88	87	94	85	76	99	80	40	40	40	50	50
Participant 20	37.2	Male	88	91	94	88	88	90	60	80	80	60	80	60
Participant 21	40.8	Male	76	92	88	83	94	92	60	60	60	40	40	40
Participant 22	48	Male	76	90	88	93	94	96	100	100	60	40	100	80
Participant 23	27.6	Male	76	88	88	93	82	97	60	50	40	40	100	80
Participant 24	55.2	Male	76	92	88	81	82	87	80	50	100	60	80	40
Participant 25	54	Male	94	87	100	91	94	90	80	40	40	60	80	60
Participant 26	62.4	Male	94	99	100	92	94	96	80	50	40	50	80	60
Participant 27	48	Male	82	93	82	93	71	91	60	100	40	60	100	100
Participant 28	26.4	Male	82	84	82	84	76	91	80	100	40	40	100	40
Participant 29	56.4	Male	65	91	76	92	71	92	60	40	50	60	60	80
Avg. Score	50.3	26M,3F	82.1	90.68	85.31	89.96	84	90.34	74.82	65.51	62.06	55.51	76.89	58.27

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