Table 4. Comparison of proposed study and existing works in this domain in terms of target variable, statistical algorithms, level of significance and explaining attributes.

Study	Factors	Dependent variable	Level of significance	Method	Disease stage
[11]	Annualized disease progression	quantitative imaging cognitive scores motor scores	High	Linear regression	Premanifest and early manifest HD
[15]	Dietary, food quantity	Weight gain/loss	High	Student t-test	manifest
[23]	CAG repeats	Weight loss	High	Mixed effects model analysis	manifest
[25]	Weight loss, Non-motor features (sleep, apathy)	Progression over time	N/A	Review of literature	Manifest
[53]	Psychiatric symptoms	Progression over time	High	Linear mixed effect regression models	Premanifest and manifest
[54]	Depression, Irritability, Apathy	Progression over time	Mild-High	Multivariate linear regression analysis	Mutation carriers/premanifest
[55]	Neuropsychiatric scale (PBA)	Comparison of Neuropsychiatric symptoms between different groups	Moderate-High	Odds ratio calculation-logistic regression analysis	Premanifest
Our work	Cognitive scales, functional score, psychiatric assessments	Weight loss	Moderate-High	Self-Organising Maps, Class Rule Mining, Chi-square test, mutual information	Premanifest