{"id":9822,"date":"2023-10-19T07:49:00","date_gmt":"2023-10-19T06:49:00","guid":{"rendered":"https:\/\/alzheimer.noemiconcept.com\/?p=9822"},"modified":"2024-06-04T10:48:11","modified_gmt":"2024-06-04T09:48:11","slug":"identification-of-preclinical-dementia-according-to-atnclassification-for-stratified-trial-recruitment-a-machinelearning-approach","status":"publish","type":"post","link":"https:\/\/ep-ad.org\/index.php\/2023\/10\/19\/identification-of-preclinical-dementia-according-to-atnclassification-for-stratified-trial-recruitment-a-machinelearning-approach\/","title":{"rendered":"PlosOne"},"content":{"rendered":"\n<p><strong>&#8220;Identification of preclinical dementia according to ATN classification for stratified trial recruitment A machine learning approach<\/strong>&#8220;<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"450\" height=\"200\" src=\"https:\/\/ep-ad.org\/wp-content\/uploads\/2015\/05\/Logo-EPAD-e1442819956731-1.png\" alt=\"\" class=\"wp-image-9683\" srcset=\"https:\/\/ep-ad.org\/wp-content\/uploads\/2015\/05\/Logo-EPAD-e1442819956731-1.png 450w, https:\/\/ep-ad.org\/wp-content\/uploads\/2015\/05\/Logo-EPAD-e1442819956731-1-300x133.png 300w\" sizes=\"(max-width: 450px) 100vw, 450px\" \/><\/figure>\n\n\n\n<p><strong>Authors:<\/strong> Ivan Koychev, Evgeniy Marinov, Simon Young, Sophia Lazarova, Denitsa Grigorova, Dean Palejev<\/p>\n\n\n\n<p><strong>Abstract: <\/strong><\/p>\n\n\n\n<p>Introduction: The Amyloid\/Tau\/Neurodegeneration (ATN) framework was proposed to identify the preclinical biological state of Alzheimer&#8217;s disease (AD). We investigated whether ATN phenotype can be predicted using routinely collected research cohort data.<\/p>\n\n\n\n<p>Methods: 927 EPAD LCS cohort participants free of dementia or Mild Cognitive Impairment were separated into 5 ATN categories. We used machine learning (ML) methods to identify a set of significant features separating each neurodegeneration-related group from controls (A-T-(N)-). Random Forest and linear-kernel SVM with stratified 5-fold cross validations were used to optimize model whose performance was then tested in the ADNI database.<\/p>\n\n\n\n<p>Results: Our optimal results outperformed ATN cross-validated logistic regression models by between 2.2% and 8.3%. The optimal feature sets were not consistent across the 4 models with the AD pathologic change vs controls set differing the most from the rest. Because of that we have identified a subset of 10 features that yield results very close or identical to the optimal.<\/p>\n\n\n\n<p>Discussion: Our study demonstrates the gains offered by ML in generating ATN risk prediction over logistic regression models among pre-dementia individuals.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>DOI:<\/strong> <a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0288039\" target=\"_blank\" rel=\"noreferrer noopener\">10.1371\/journal.pone.0288039<\/a><\/p>\n\n\n\n<p>Published online:\u00a019 October 2023 in the Journal PlosOne<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;Identification of preclinical dementia according to ATN classification for stratified trial recruitment A machine learning approach&#8220; Authors: Ivan Koychev, Evgeniy Marinov, Simon Young, Sophia Lazarova, Denitsa Grigorova, Dean Palejev Abstract: Introduction: The Amyloid\/Tau\/Neurodegeneration (ATN) framework was proposed to identify the preclinical biological state of Alzheimer&#8217;s disease (AD). We investigated whether ATN phenotype can be predicted [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-9822","post","type-post","status-publish","format-standard","hentry","category-publications"],"_links":{"self":[{"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/posts\/9822","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/comments?post=9822"}],"version-history":[{"count":5,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/posts\/9822\/revisions"}],"predecessor-version":[{"id":10297,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/posts\/9822\/revisions\/10297"}],"wp:attachment":[{"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/media?parent=9822"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/categories?post=9822"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ep-ad.org\/index.php\/wp-json\/wp\/v2\/tags?post=9822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}