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Prediction of neuropathologic lesions from clinical data.

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Title: Prediction of neuropathologic lesions from clinical data.
Authors: Phongpreecha T; Department of Pathology, Stanford University, Stanford, California, USA.; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA., Cholerton B; Department of Pathology, Stanford University, Stanford, California, USA., Bukhari S; Department of Pathology, Stanford University, Stanford, California, USA., Chang AL; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., De Francesco D; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., Thuraiappah M; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., Godrich D; Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, Florida, USA., Perna A; Department of Pathology, Stanford University, Stanford, California, USA., Becker MG; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., Ravindra NG; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., Espinosa C; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., Kim Y; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., Berson E; Department of Pathology, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., Mataraso S; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., Sha SJ; Department of Neurology & Neurological Sciences, Stanford University, Stanford, California, USA., Fox EJ; Department of Pathology, Stanford University, Stanford, California, USA., Montine KS; Department of Pathology, Stanford University, Stanford, California, USA., Baker LD; Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, North Carolina, USA., Craft S; Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, North Carolina, USA., White L; Pacific Health Research and Education Institute, Honolulu, Hawaii, USA., Poston KL; Department of Neurology & Neurological Sciences, Stanford University, Stanford, California, USA., Beecham G; Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, Florida, USA., Aghaeepour N; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA., Montine TJ; Department of Pathology, Stanford University, Stanford, California, USA.
Source: Alzheimer's & dementia : the journal of the Alzheimer's Association [Alzheimers Dement] 2023 Jul; Vol. 19 (7), pp. 3005-3018. Date of Electronic Publication: 2023 Jan 21.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: John Wiley & Sons, Ltd Country of Publication: United States NLM ID: 101231978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-5279 (Electronic) Linking ISSN: 15525260 NLM ISO Abbreviation: Alzheimers Dement Subsets: MEDLINE
Database: MEDLINE Ultimate
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Macdonald Foundation Department of Human Genetics, University of Miami, Miami, Florida, USA.<br /><searchLink fieldCode="AU" term="%22Aghaeepour+N%22">Aghaeepour N</searchLink>; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California, USA.; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.; Department of Pediatrics, Stanford University, Stanford, California, USA.<br /><searchLink fieldCode="AU" term="%22Montine+TJ%22">Montine TJ</searchLink>; Department of Pathology, Stanford University, Stanford, California, USA.
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  Data: <searchLink fieldCode="JN" term="%22101231978%22">Alzheimer's & dementia : the journal of the Alzheimer's Association</searchLink> [Alzheimers Dement] 2023 Jul; Vol. 19 (7), pp. 3005-3018. <i>Date of Electronic Publication: </i>2023 Jan 21.
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