{"id":9319,"date":"2026-10-19T16:45:00","date_gmt":"2026-10-19T07:45:00","guid":{"rendered":"https:\/\/aizoth.com\/?p=9319"},"modified":"2026-10-19T16:45:00","modified_gmt":"2026-10-19T07:45:00","slug":"bia_dnn_hipfracture_2026","status":"publish","type":"post","link":"https:\/\/aizoth.com\/en\/2026\/10\/bia_dnn_hipfracture_2026\/","title":{"rendered":"Research on Predicting Walking Independence After Hip Fracture Surgery Using Multi-Sigma\u00ae Published in Journal of Orthopaedic Science"},"content":{"rendered":"\n<p class=\"has-medium-font-size wp-block-paragraph\">A research group led by Assistant Professor Keisuke Nakamura of Shinshu University used <a href=\"https:\/\/aizoth.com\/en\/service\/multi-sigma\/\" target=\"_blank\" rel=\"noopener\">Multi-Sigma\u00ae<\/a> to build a deep neural network (DNN) model and analyze walking independence after hip fracture surgery. Their study was published under the title \u201c<em>Deep neural network\u2013based prediction of walking independence after hip fracture surgery and analysis of contributing factors<\/em>.\u201d<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">The study included 368 patients aged 65 or older who underwent surgery for femoral neck or trochanteric fractures. The researchers developed models to predict walking independence at one and four weeks after surgery. Predictors included age, pre-injury living arrangements and walking status, cognitive function, comorbidities, fracture type, waiting times for surgery and rehabilitation to begin, and whether walking started within two days after surgery.<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">The researchers compared the DNN developed using <a href=\"https:\/\/aizoth.com\/en\/service\/multi-sigma\/\" target=\"_blank\" rel=\"noopener\">Multi-Sigma\u00ae<\/a> with logistic regression and support vector machines. At one week after surgery, the DNN showed the highest sensitivity among the three methods. At four weeks, it showed the most balanced classification performance in terms of precision, sensitivity, and specificity.<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">The researchers also used <a href=\"https:\/\/aizoth.com\/en\/service\/multi-sigma\/\" target=\"_blank\" rel=\"noopener\">Multi-Sigma\u00ae<\/a>\u2019s Contribution Analysis (sensitivity analysis) feature to quantify how each variable contributed to the predictions.<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\">For further details, please refer to the paper below.<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Publication Details<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Title: <\/strong><em>Deep neural network\u2013based prediction of walking independence after hip fracture surgery and analysis of contributing factors<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Authors: <\/strong>Keisuke Nakamura<em> et al.<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Journal:<\/strong> <em>Journal of Orthopaedic Science<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Publication Year:<\/strong> 2026<\/p>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>DOI:<\/strong> <a href=\"https:\/\/doi.org\/10.1016\/j.jos.2026.07.010\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.jos.2026.07.010<\/a><\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex\">\n<div style=\"--wp--block-button--width: 50;\" class=\"wp-block-button is-style-outline has-custom-width wp-block-button__width wp-block-button__width-50 is-style-outline--1\"><a class=\"wp-block-button__link has-black-color 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class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex\">\n<div style=\"--wp--block-button--width: 50;\" class=\"wp-block-button is-style-outline has-custom-width wp-block-button__width wp-block-button__width-50 is-style-outline--4\"><a class=\"wp-block-button__link has-black-color has-text-color has-background has-link-color has-medium-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/aizoth.com\/en\/consulting\/\" style=\"border-radius:100px;background-color:#ffe200\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Consulting<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"A research group led by Assistant Professor Keisuke Nakamura of Shinshu University used Multi-Sigma\u00ae to build  <a href=\"https:\/\/aizoth.com\/en\/2026\/10\/bia_dnn_hipfracture_2026\/\" class=\"more-link\">&#8230;<span class=\"screen-reader-text\">  Research on Predicting Walking Independence After Hip Fracture Surgery Using Multi-Sigma\u00ae Published in Journal of Orthopaedic Science<\/span><\/a>","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_locale":"en_US","footnotes":""},"categories":[17],"tags":[],"class_list":["post-9319","post","type-post","status-publish","format-standard","hentry","category-news","en-US"],"acf":[],"_links":{"self":[{"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts\/9319","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Fcomments&post=9319"}],"version-history":[{"count":2,"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts\/9319\/revisions"}],"predecessor-version":[{"id":9321,"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts\/9319\/revisions\/9321"}],"wp:attachment":[{"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9319"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Fcategories&post=9319"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Ftags&post=9319"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}