| Style | Citing Format |
|---|---|
| MLA | De Brouwer E, et al.. "Longitudinal Machine Learning Modeling of Ms Patient Trajectories Improves Predictions of Disability Progression." Computer Methods and Programs in Biomedicine, vol. 208, no. , 2021, pp. -. |
| APA | De Brouwer E, Becker T, Moreau Y, Havrdova EK, Trojano M, Eichau S, Ozakbas S, Onofrj M, Grammond P, Kuhle J, Kappos L, Sola P, Cartechini E, Lechnerscott J, Alroughani R, Gerlach O, Kalincik T, Granella F, Grandmaison F, ... Peeters L (2021). Longitudinal Machine Learning Modeling of Ms Patient Trajectories Improves Predictions of Disability Progression. Computer Methods and Programs in Biomedicine, 208(), -. |
| Chicago | De Brouwer E, Becker T, Moreau Y, Havrdova EK, Trojano M, Eichau S, Ozakbas S, et al.. "Longitudinal Machine Learning Modeling of Ms Patient Trajectories Improves Predictions of Disability Progression." Computer Methods and Programs in Biomedicine 208, no. (2021): -. |
| Harvard | De Brouwer E et al. (2021) 'Longitudinal Machine Learning Modeling of Ms Patient Trajectories Improves Predictions of Disability Progression', Computer Methods and Programs in Biomedicine, 208(), pp. -. |
| Vancouver | De Brouwer E, Becker T, Moreau Y, Havrdova EK, Trojano M, Eichau S, et al.. Longitudinal Machine Learning Modeling of Ms Patient Trajectories Improves Predictions of Disability Progression. Computer Methods and Programs in Biomedicine. 2021;208():-. |
| BibTex | @article{ author = {De Brouwer E and Becker T and Moreau Y and Havrdova EK and Trojano M and Eichau S and Ozakbas S and Onofrj M and Grammond P and Kuhle J and Kappos L and Sola P and Cartechini E and Lechnerscott J and Alroughani R and Gerlach O and Kalincik T and Granella F and Grandmaison F and Bergamaschi R and Jose Sa M and Van Wijmeersch B and Soysal A and Sanchezmenoyo JL and Solaro C and Boz C and Iuliano G and Buzzard K and Agueramorales E and Terzi M and Trivio TC and Spitaleri D and Van Pesch V and Shaygannejad V and Moore F and Orejaguevara C and Maimone D and Gouider R and Csepany T and Ramotello C and Peeters L}, title = {Longitudinal Machine Learning Modeling of Ms Patient Trajectories Improves Predictions of Disability Progression}, journal = {Computer Methods and Programs in Biomedicine}, volume = {208}, number = {}, pages = {-}, year = {2021} } |
| RIS | TY - JOUR AU - De Brouwer E AU - Becker T AU - Moreau Y AU - Havrdova EK AU - Trojano M AU - Eichau S AU - Ozakbas S AU - Onofrj M AU - Grammond P AU - Kuhle J AU - Kappos L AU - Sola P AU - Cartechini E AU - Lechnerscott J AU - Alroughani R AU - Gerlach O AU - Kalincik T AU - Granella F AU - Grandmaison F AU - Bergamaschi R AU - Jose Sa M AU - Van Wijmeersch B AU - Soysal A AU - Sanchezmenoyo JL AU - Solaro C AU - Boz C AU - Iuliano G AU - Buzzard K AU - Agueramorales E AU - Terzi M AU - Trivio TC AU - Spitaleri D AU - Van Pesch V AU - Shaygannejad V AU - Moore F AU - Orejaguevara C AU - Maimone D AU - Gouider R AU - Csepany T AU - Ramotello C AU - Peeters L TI - Longitudinal Machine Learning Modeling of Ms Patient Trajectories Improves Predictions of Disability Progression JO - Computer Methods and Programs in Biomedicine VL - 208 IS - SP - EP - PY - 2021 ER - |