Table 7.
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.