fix
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parent
81eb26f8fa
commit
a4154b8647
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@ -1328,7 +1328,7 @@ if (typeof Math.imul == "undefined" || (Math.imul(0xffffffff, 5) == 0)) {
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null), new R(null, 2, 5, S, [XE, "Curves"], null), new R(null, 2, 5, S, [$v, "Chart"], null), new R(null, 2, 5, S, [Qp, "Texts"], null), new R(null, 2, 5, S, [ru, "Icons"], null)], null), null, Vr, new Ri(null, new m(null, 1, ["v2.1", null], null), null), NB.c(wL(new m(null, 1, [NB, on], null)))), BL(eo, "Enable bisphosphonates", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [cF, "No"], null), new R(null, 2, 5, S, [Bm, "Yes"], null)], null), null, Vr, new Ri(null, new m(null, 1, ["v2.1", null], null), null), eo.c(wL(new m(null, 1, [eo, Bm], null)))), BL(fF, "Enable 10 year hormone treatment?",
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Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [cF, "No"], null), new R(null, 2, 5, S, [cF, "Not yet implemented"], null)], null), null, Vr, new Ri(null, new m(null, 1, ["v2.1", null], null), null), fF.c(wL(new m(null, 1, [fF, cF], null)))), BL(VA, "Enable disease free survival", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [cF, "No"], null), new R(null, 2, 5, S, [cF, "Not yet implemented"], null)], null), null, Vr, new Ri(null, new m(null, 1, ["v2.1", null], null), null), VA.c(wL(new m(null, 1, [VA, cF], null)))), BL(PF, "Hormone Therapy", Wl, new R(null, 2, 5, S, [new R(null,
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2, 5, S, [null, "No"], null), new R(null, 2, 5, S, [Bm, "Yes"], null)], null), null, Ip, new Ri(null, new m(null, 2, ["v1.2", null, "v2.1", null], null), null), null), BL($m, "Bisphosphonates", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [null, "No"], null), new R(null, 2, 5, S, [Bm, "Yes"], null)], null), null, Ip, new Ri(null, new m(null, 1, ["v2.1", null], null), null), null), BL(up, "Trastuzumab", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [null, "No"], null), new R(null, 2, 5, S, [Bm, "Yes"], null)], null), null, Ip, new Ri(null, new m(null, 2, ["v1.2", null, "v2.1", null],
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null), null), null), BL(BA, "Prior treatments", At, "Surgery is assumed", !1, Bp, new Ri(null, new m(null, 1, ["v2.1", null], null), null), null), BL(fn, "Age at diagnosis", mx, new m(null, 4, [Ll, 25, yx, 85, fD, 1, Qq, 0], null), !0, yr, new Ri(null, new m(null, 4, ["next-gen", null, "v1.2", null, "v2.1", null, "research", null], null), null), ""), BL(Zk, "Post Menopausal?", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [Bz, "Yes"], null), new R(null, 2, 5, S, [Ln, "No"], null)], null), !0, yr, new Ri(null, new m(null, 1, ["v2.1", null], null), null), null), BL(Br, "Detected by",
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null), null), null), BL(BA, "Prior treatments", At, "Surgery is assumed", !1, Bp, new Ri(null, new m(null, 1, ["v2.1", null], null), null), null), BL(fn, <%=t(cancerpredict)%>, mx, new m(null, 4, [Ll, 25, yx, 85, fD, 1, Qq, 0], null), !0, yr, new Ri(null, new m(null, 4, ["next-gen", null, "v1.2", null, "v2.1", null, "research", null], null), null), ""), BL(Zk, "Post Menopausal?", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [Bz, "Yes"], null), new R(null, 2, 5, S, [Ln, "No"], null)], null), !0, yr, new Ri(null, new m(null, 1, ["v2.1", null], null), null), null), BL(Br, "Detected by",
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Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [ln, "Screening"], null), new R(null, 2, 5, S, [uB, "Symptoms"], null)], null), !0, Bp, new Ri(null, new m(null, 4, ["next-gen", null, "v1.2", null, "v2.1", null, "research", null], null), null), null), BL(Qw, "Tumour grade", Wl, new R(null, 3, 5, S, [new R(null, 2, 5, S, [sp, 1], null), new R(null, 2, 5, S, [Ko, 2], null), new R(null, 2, 5, S, [Dx, 3], null)], null), !1, Bp, new Ri(null, new m(null, 4, ["next-gen", null, "v1.2", null, "v2.1", null, "research", null], null), null), null), BL(vu, "Tumour size (mm)", mx, new m(null, 4,
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[Ll, 0, yx, 500, fD, 5, Qq, 0], null), !0, Bp, new Ri(null, new m(null, 2, ["v1.2", null, "v2.1", null], null), null), ""), BL(Pw, "Positive nodes", mx, new m(null, 4, [Ll, 0, yx, 100, fD, 1, Qq, 0], null), !0, kl, new Ri(null, new m(null, 2, ["v1.2", null, "v2.1", null], null), null), ""), BL(tC, "Micrometastases only", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [Bm, "Yes"], null), new R(null, 2, 5, S, [cF, "No"], null)], null), !0, kl, new Ri(null, new m(null, 2, ["v2.1", null, "research", null], null), null), ho), BL(SB, "ER status", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S,
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[Bm, "Positive"], null), new R(null, 2, 5, S, [cF, "Negative"], null)], null), !1, kl, new Ri(null, new m(null, 4, ["next-gen", null, "v1.2", null, "v2.1", null, "research", null], null), null), null), BL(Tp, "HER2 status", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [Bm, "Positive"], null), new R(null, 2, 5, S, [cF, "Negative"], null)], null), !0, kl, new Ri(null, new m(null, 4, ["next-gen", null, "v1.2", null, "v2.1", null, "research", null], null), null), null), BL(Kt, "Ki-67 status", Wl, new R(null, 2, 5, S, [new R(null, 2, 5, S, [Bm, "Positive"], null), new R(null, 2,
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@ -1,7 +1,7 @@
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# encoding: utf-8
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require 'rubyXL'
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class Admin::CancerpredictsController < OrbitAdminController
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include Admin::CancerpredictsHelper
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#include Admin::CancerpredictsHelper
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before_action ->(module_app = @app_title) { set_variables module_app }
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#before_action :load_access_levels
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def initialize
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@ -0,0 +1,27 @@
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# encoding: utf-8
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require 'rubyXL'
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class CancerpredictsController < ApplicationController
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before_filter :set_I18n
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before_action ->(module_app = @app_title) { set_variables module_app }
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#before_action :load_access_levels
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def initialize
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super
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@app_title = "cancerpredict"
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end
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def index
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uid = OrbitHelper.params[:uid] rescue ""
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tags = OrbitHelper.widget_tags
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categories = OrbitHelper.widget_categories || []
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locale = OrbitHelper.get_site_locale.to_s
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end
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def widget
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uid = OrbitHelper.params[:uid] rescue ""
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tags = OrbitHelper.widget_tags
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categories = OrbitHelper.widget_categories || []
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locale = OrbitHelper.get_site_locale.to_s
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end
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def set_I18n
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I18n.locale = params[:lang] if params[:lang].present?
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end
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end
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@ -0,0 +1 @@
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<%= render_view %>
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@ -11,7 +11,7 @@ en:
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HER2: HER2 status
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PR: PR status
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Tumoursize: Tumour size(mm)
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Tumourgrade :Tumour grade
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Tumourgrade: Tumour grade
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lymphnodes: lymph nodes
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positive: positive
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negative: negative
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@ -2,7 +2,7 @@ zh_tw:
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cancerpredict:
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cancerpredict: 乳癌預測
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table:
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welcome:歡迎使用台灣準備乳癌癒後系統!\n若要開始 請在下方輸入相關資訊
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welcome: 歡迎使用台灣準備乳癌癒後系統!\n若要開始 請在下方輸入相關資訊
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Reset: 重置
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Submit: 提交
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age: 確認年齡
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@ -11,7 +11,7 @@ zh_tw:
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HER2: HER2狀態
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PR: PR狀態
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Tumoursize: 腫瘤大小(mm)
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Tumourgrade :腫瘤分級
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Tumourgrade: 腫瘤分級
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lymphnodes: 淋巴結數目
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positive: 陽性
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negative: 陰性
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@ -9,11 +9,12 @@ module Cancerpredict
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authorizable
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widget_methods ["widget"]
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widget_settings [{"data_count"=>1}]
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frontend_enabled
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side_bar do
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head_label_i18n 'cancerpredict.cancerpredict', icon_class: "icons-megaphone"
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available_for "users"
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active_for_controllers (['admin/cancerpredicts'])
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head_link_path "admin_cancerPredicts_path"
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head_link_path "admin_cancerpredicts_path"
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context_link 'cancerpredict.cancerpredict',
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:link_path=>"admin_cancerpredicts_path" ,
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@ -0,0 +1,20 @@
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<div>
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<script src="/assets/react.js"></script>
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<script type="text/javascript" src="/assets/jquery.smartmenus.min.js"></script>
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<script type="text/javascript" src="/assets/jquery.smartmenus.bootstrap.min.js"></script>
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<h3 class="w-cancer-tool__widget-title">
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<span>{{widget-title}}</span>
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</h3>
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<div class="w-cancer-tool widget-cancerpredict-1">
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<div class="w-cancer-tool" data-level="0" data-list="cancerpredict">
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<div class="w-cancer-tool" data-level="1" data-list="cancerpredict">
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<div id="app">
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<div class="loader-overlay">
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<div class="loader" id="loader-1"> </div>
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<div class="loader-text" id="id-loader-text">Loading...</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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@ -0,0 +1,16 @@
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<div>
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<script src="/assets/react.js"></script>
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<script type="text/javascript" src="/assets/jquery.smartmenus.min.js"></script>
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<script type="text/javascript" src="/assets/jquery.smartmenus.bootstrap.min.js"></script>
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<h1 class="i-cancer-title">{{page-title}}</h1>
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<div class="i-cancer-tool widget-announcement-1">
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<div class="i-cancer-tool" data-level="0" data-list="statuses">
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<div id="app">
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<div class="loader-overlay">
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<div class="loader" id="loader-1"> </div>
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<div class="loader-text" id="id-loader-text">Loading...</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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@ -0,0 +1,22 @@
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{
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"frontend": [
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{
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"filename" : "cancer_predict_index",
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"name" : {
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"zh_tw" : "1. 乳癌預測工具",
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"en" : "1. Breast cancer predict tool"
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},
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"thumbnail" : "thumb.png"
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}
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],
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"widgets" : [
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{
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"filename" : "cancer_predict_widget",
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"name" : {
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"zh_tw" : "1. 乳癌預測工具",
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"en" : "1. Breast cancer predict tool"
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},
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"thumbnail" : "thumb.png"
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}
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]
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}
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