Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning.

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Bibliographic Details
Title: Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning.
Authors: Castillo-Barnes D; Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)., Su L; Department of Psychiatry, University of Cambridge, Cambridge (UK)., Ramírez J; Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)., Salas-Gonzalez D; Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)., Martinez-Murcia FJ; Department of Communications Engineering, University of Malaga, Malaga (Spain)., Illan IA; Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)., Segovia F; Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)., Ortiz A; Department of Communications Engineering, University of Malaga, Malaga (Spain)., Cruchaga C; Department of Psychiatry and Neurology, Washington University School of Medicine, St. Louis, Missouri (USA)., Farlow MR; Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana (USA)., Xiong C; Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri (USA)., Graff-Radford NR; Department of Neurology, Mayo Clinic, Jacksonville, Florida (USA)., Schofield PR; Neuroscience Research Australia and School of Medical Sciences, University of New South Wales, Sydney (Australia)., Masters CL; Florey Institute and University of Melbourne, Victoria (Australia)., Salloway S; Butler Hospital, Rhode Island (USA)., Jucker M; Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen (Germany)., Mori H; Department of Clinical Neuroscience, Osaka City University Medical school, Osaka (Japan)., Levin J; Department of Neurology, Ludwig-Maximilians-University of Munich, Munich (Germany)., Gorriz JM; Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain).; Department of Psychiatry, University of Cambridge, Cambridge (UK).
Corporate Authors: Dominantly Inherited Alzheimer Network (DIAN)
Source: An international journal on information fusion [Inf Fusion] 2020 Jun; Vol. 58, pp. 153-167. Date of Electronic Publication: 2020 Jan 07.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101513488 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1566-2535 (Print) Linking ISSN: 15662535 NLM ISO Abbreviation: Inf Fusion Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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