دورية أكاديمية
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study
| العنوان: | Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study |
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| المؤلفون: | Faghri F., Brunn F., Dadu A., Chio A., Calvo A., Moglia C., Canosa A., Manera U., Vasta R., Palumbo F., Bombaci A., Grassano M., Brunetti M., Casale F., Fuda G., Salamone P., Iazzolino B., Peotta L., Cugnasco P., De Marco G., Torrieri M. C., Gallone S., Barberis M., Sbaiz L., Gentile S., Mauro A., Mazzini L., De Marchi F., Corrado L., D'Alfonso S., Bertolotto A., Imperiale D., De Mattei M., Amaru S., Comi C., Labate C., Poglio F., Ruiz L., Testa L., Rota E., Ghiglione P., Launaro N., Di Sapio A., Mandrioli J., Fini N., Martinelli I., Zucchi E., Gianferrari G., Simonini C., Meletti S., Liguori R., Vacchiano V., Salvi F., Bartolomei I., Michelucci R., Cortelli P., Rinaldi R., Borghi A. M., Zini A., Sette E., Tugnoli V., Pugliatti M., Canali E., Codeluppi L., Valzania F., Zinno L., Pavesi G., Medici D., Pilurzi G., Terlizzi E., Guidetti D., De Pasqua S., Santangelo M., De Massis P., Bracaglia M., Casmiro M., Querzani P., Morresi S., Longoni M., Patuelli A., Malagu S., Curro Dossi M., Vidale S., Ferro S., Nalls M. A., Campbell R. H., Traynor B. J. |
| المساهمون: | Faghri F., Brunn F., Dadu A., Chio A., Calvo A., Moglia C., Canosa A., Manera U., Vasta R., Palumbo F., Bombaci A., Grassano M., Brunetti M., Casale F., Fuda G., Salamone P., Iazzolino B., Peotta L., Cugnasco P., De Marco G., Torrieri M.C., Gallone S., Barberis M., Sbaiz L., Gentile S., Mauro A., Mazzini L., De Marchi F., Corrado L., D'Alfonso S., Bertolotto A., Imperiale D., De Mattei M., Amaru S., Comi C., Labate C., Poglio F., Ruiz L., Testa L., Rota E., Ghiglione P., Launaro N., Di Sapio A., Mandrioli J., Fini N., Martinelli I., Zucchi E., Gianferrari G., Simonini C., Meletti S., Liguori R., Vacchiano V., Salvi F., Bartolomei I., Michelucci R., Cortelli P., Rinaldi R., Borghi A.M., Zini A., Sette E., Tugnoli V., Pugliatti M., Canali E., Codeluppi L., Valzania F., Zinno L., Pavesi G., Medici D., Pilurzi G., Terlizzi E., Guidetti D., De Pasqua S., Santangelo M., De Massis P., Bracaglia M., Casmiro M., Querzani P., Morresi S., Longoni M., Patuelli A., Malagu S., Curro Dossi M., Vidale S., Ferro S., Nalls M.A., Campbell R.H., Traynor B.J. |
| سنة النشر: | 2022 |
| المجموعة: | IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
| مصطلحات موضوعية: | ALS, population based study |
| الوصف: | Background: Amyotrophic lateral sclerosis (ALS) is known to represent a collection of overlapping syndromes. Various classification systems based on empirical observations have been proposed, but it is unclear to what extent they reflect ALS population substructures. We aimed to use machine-learning techniques to identify the number and nature of ALS subtypes to obtain a better understanding of this heterogeneity, enhance our understanding of the disease, and improve clinical care. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | ELETTRONICO |
| اللغة: | English |
| ردمك: | 978-2-589-75002-6 2-589-75002-1 |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/35341712; info:eu-repo/semantics/altIdentifier/wos/WOS:000821560800014; volume:4; issue:5; firstpage:e359; lastpage:e369; numberofpages:11; journal:THE LANCET. DIGITAL HEALTH; info:eu-repo/grantAgreement/EC/FP7/259867; https://hdl.handle.net/11585/889271Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85128785021; https://www.sciencedirect.com/science/article/pii/S2589750021002740?via=ihubTest |
| DOI: | 10.1016/S2589-7500(21)00274-0 |
| الإتاحة: | https://doi.org/10.1016/S2589-7500Test(21)00274-0 https://hdl.handle.net/11585/889271Test https://www.sciencedirect.com/science/article/pii/S2589750021002740?via=ihubTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.27EE58B5 |
| قاعدة البيانات: | BASE |
| ردمك: | 9782589750026 2589750021 |
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| DOI: | 10.1016/S2589-7500(21)00274-0 |