Zobrazeno 1 - 10
of 70
pro vyhledávání: '"CDISC"'
Autor:
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh, Coalition Against Major Diseases, Abbott, Alliance for Aging Research, Alzheimer’s Association, Alzheimer’s Foundation of America, AstraZeneca Pharmaceuticals LP, Bristol-Myers Squibb Company, Critical Path Institute, CHDI Foundation, Inc., Eli Lilly and Company, F. Hoffmann-La Roche Ltd, Forest Research Institute, Genentech, Inc., GlaxoSmithKline, Johnson & Johnson, National Health Council, Novartis Pharmaceuticals Corporation, Parkinson’s Action Network, Parkinson’s Disease Foundation, Pfizer, Inc., sanofi-aventis. Collaborating Organizations: Clinical Data Interchange Standards Consortium (CDISC), Ephibian, Metrum Institute.
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-14 (2019)
Scientific Reports
Scientific Reports
Most approaches to machine learning from electronic health data can only predict a single endpoint. The ability to simultaneously simulate dozens of patient characteristics is a crucial step towards personalized medicine for Alzheimer’s Disease. He
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c101fc21a20ed8ce94b12dcb5a5ec42a
https://doi.org/10.1038/s41598-019-49656-2
https://doi.org/10.1038/s41598-019-49656-2
Autor:
Fisher, Charles K, Smith, Aaron M, Walsh, Jonathan R, Coalition Against Major Diseases, Abbott, Alliance for Aging Research, Alzheimer’s Association, Alzheimer’s Foundation of America, AstraZeneca Pharmaceuticals LP, Bristol-Myers Squibb Company, Critical Path Institute, CHDI Foundation, Inc., Eli Lilly and Company, F. Hoffmann-La Roche Ltd, Forest Research Institute, Genentech, Inc., GlaxoSmithKline, Johnson & Johnson, National Health Council, Novartis Pharmaceuticals Corporation, Parkinson’s Action Network, Parkinson’s Disease Foundation, Pfizer, Inc., sanofi-aventis. Collaborating Organizations: Clinical Data Interchange Standards Consortium (CDISC), Ephibian, Metrum Institute.
Publikováno v:
Scientific reports, vol 9, iss 1
Most approaches to machine learning from electronic health data can only predict a single endpoint. The ability to simultaneously simulate dozens of patient characteristics is a crucial step towards personalized medicine for Alzheimer's Disease. Here
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::b741e1b4d91874089ef97d675f158f16
https://escholarship.org/uc/item/9gr9344s
https://escholarship.org/uc/item/9gr9344s
Publikováno v:
Business Wire (English). 01/22/2024.