Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities

Parsapoor (Parsa), Mahboobeh (Mah); Alam, Muhammad Raisul; Mihailidis, Alex

doi:10.1186/s12911-023-02122-6

BMC Medical Informatics and Decision Making

Table 5 F1 (micro) scores obtained by applying ML algorithms on linguistic features

From: Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities

Features	Algorithms	PDT	SRT	Web	Phone
Lexical	DT	0.63 (± 0.07)	0.71 (± 0.00)	0.42 (± 0.17)	0.92 (± 0.17)
	ET	0.73 (± 0.13)	0.57 (± 0.57)	0.83 (± 0.00)	0.92 (± 0.17)
	kNN	0.52 (± 0.29)	0.42 (± 0.00)	0.45 (± 0.00)	0.45 (± 0.00)
	LDA	0.63 (± 0.07)	0.63 (± 0.07)	0.75 (± 0.17)	0.92 (± 0.17)
	R_SVM	0.63 (± 0.07)	0.71 (± 0.00)	0.83 (± 0.00)	0.83 (± 0.00)
	L_SVM	0.63 (± 0.07)	0.71 (± 0.00)	0.83 (± 0.00)	1.00 (± 0.00)
	LR	0.63 (± 0.07)	0.63 (± 0.07)	0.83 (± 0.00)	1.00 (± 0.00)
	RF	0.47 (± 0.27)	0.71 (± 0.00)	0.83 (± 0.00)	0.92 (± 0.17)
Syntactic	DT	0.73 (± 0.13)	0.57 (± 0.00)	0.83 (± 0.00)	0.83 (± 0.00)
	ET	0.80 (± 0.40)	0.64 (± 0.14)	0.83 (± 0.00)	0.83 (± 0.00)
	kNN	0.69 (± 0.63)	0.53 (± 0.23)	0.45 (± 0.00)	0.45 (± 0.00)
	LDA	0.37 (± 0.07)	0.50 (± 0.43)	0.75 (± 0.17)	0.75 (± 0.50)
	R_SVM	0.63 (± 0.07)	0.71 (± 0.00)	0.83 (± 0.00)	0.83 (± 0.00)
	L_SVM	0.63 (± 0.07)	0.71 (± 0.00)	0.83 (± 0.00)	0.67 (± 0.33)
	LR	0.80 (± 0.40)	0.71 (± 0.00)	0.83 (± 0.00)	0.75 (± 0.17)
	RF	0.47 (± 0.27)	0.57 (± 0.00)	0.75 (± 0.17)	0.92 (± 0.17)
Semantic	DT	0.53 (± 0.27)	0.64 (± 0.14)	0.83 (± 0.00)	0.83 (± 0.33)
	ET	0.57 (± 0.47)	0.71 (± 0.29)	0.83 (± 0.00)	0.83 (± 0.00)
	kNN	0.69 (± 0.63)	0.53 (± 0.23)	0.45 (± 0.00)	0.45 (± 0.00)
	LDA	0.63 (± 0.07)	0.71 (± 0.00)	0.83 (± 0.00)	0.58 (± 0.50)
	R_SVM	0.63 (± 0.07)	0.71 (± 0.00)	0.83 (± 0.00)	0.83 (± 0.00)
	L_SVM	0.63 (± 0.07)	0.71 (± 0.00)	0.83 (± 0.00)	0.83 (± 0.00)
	LR	0.63 (± 0.07)	0.50 (± 0.43)	0.83 (± 0.00)	0.83 (± 0.00)
	RF	0.73 (± 0.13)	0.57 (± 0.00)	0.83 (± 0.00)	0.83 (± 0.00)
All	DT	0.73 (± 0.13)	0.64 (± 0.14)	0.75 (± 0.17)	1.00 (± 0.00
	ET	0.63 (± 0.07)	0.79 (± 0.14)	0.83 (± 0.00)	0.75 (± 0.50)
	kNN	0.52 (± 0.29)	0.39 (± 0.05)	0.45 (± 0.00)	0.45 (± 0.00)
	LDA	0.63 (± 0.07)	0.64 (± 0.14)	0.75 (± 0.17)	0.75 (± 0.50
	R_SVM	0.63 (± 0.07)	0.71 (± 0.00)	0.83 (± 0.00)	0.83 (± 0.00)
	L_SVM	0.63 (± 0.07)	0.64 (± 0.14)	0.75 (± 0.17)	1.00 (± 0.00)
	LR	0.70 (± 0.60)	0.64 (± 0.14)	0.83 (± 0.00	0.75 (± 0.17)
	RF	0.63 (± 0.07)	0.71 (± 0.00)	0.83 (± 0.00)	1.00 (± 0.00)

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