E. De Brouwer Et Al. , "Introducing Machine Learning for full MS patient trajectories improves predictions for disability score progression," 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS , vol.25, Stockholm, Sweden, pp.63-65, 2019
De Brouwer, E. Et Al. 2019. Introducing Machine Learning for full MS patient trajectories improves predictions for disability score progression. 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS , (Stockholm, Sweden), 63-65.
De Brouwer, E., Peeters, L., Becker, T., Altintas, A., Soysal, A., Van Wijmeersch, B., ... Boz, C.(2019). Introducing Machine Learning for full MS patient trajectories improves predictions for disability score progression . 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS (pp.63-65). Stockholm, Sweden
De Brouwer, E. Et Al. "Introducing Machine Learning for full MS patient trajectories improves predictions for disability score progression," 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS, Stockholm, Sweden, 2019
De Brouwer, E. D. Et Al. "Introducing Machine Learning for full MS patient trajectories improves predictions for disability score progression." 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS , Stockholm, Sweden, pp.63-65, 2019
De Brouwer, E. Et Al. (2019) . "Introducing Machine Learning for full MS patient trajectories improves predictions for disability score progression." 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS , Stockholm, Sweden, pp.63-65.
@conferencepaper{conferencepaper, author={E. De Brouwer Et Al. }, title={Introducing Machine Learning for full MS patient trajectories improves predictions for disability score progression}, congress name={35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS}, city={Stockholm}, country={Sweden}, year={2019}, pages={63-65} }