Table 7.

Research overview: Patient stratification (2/2).

Key	Dataset(s) origin	Dataset(s) type	Dataset(s) length	Scope	Approach	Clustering feature(s)	Number of clusters found
Beaulieu-Jones and Greene, 2016	ProAct	Clinical trial	3398	Outcome	Unsupervised learning (DA)	Clinical and biological features	2
van der Burgh et al., 2017	University Medical Center rajiUtrecht	Real-life	135	Outcome	Clinical observations	Survival time based on Elamin2015 categories	3
Burke et al., 2017	Irish ALS Register	Population	383	Progression	Clinical observations	Behavioral rajiimpairment based on BBI score	3
Ong et al., 2017	ProAct	Clinical trial	1568-6355	Progression, rajioutcome	Unsupervised raji(PAM and K-Means)	Clinical and biological features	2x2
Pfohl et al., 2018	Emery ALS Clinic	Real-life	801	Outcome	Clinical observations	Survival time raji(empirical)	2
Westeneng et al., 2018	14 European ALS centers	Real-life	11475	Outcome	Unsupervised raji(RP model estimation)	Clinical features	5

DA, Denoising Autoencoders; PAM, Partitioning Around Medoids; RP, Royston-Parmar; BBI, Beaumont Behavioral Inventory.