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bohung 2020-02-27 16:04:44 +08:00
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app/models/cancerpredictfields.rb
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@ -7,18 +7,9 @@ class Cancerpredictfields
include OrbitTag::Taggable
include OrbitCategory::Categorizable
field :title ,type:String ,default:""
field :form_show , :type=> Hash ,default:{0=>{:variable=>"age",:name=>{"zh_tw"=>"年齡<br/>(Age)","en"=>"Age"},:is_num=>1, :hint=>{'zh_tw'=>'從 18 歲(含)開始至 93 歲','en'=>'Age must be between 18 and 93'} , :comment_text=>{'zh_tw'=>'年齡為該婦女於確診罹患乳癌時之年齡','en'=>'Age at diagnosis'}, :choice_fields=> {"zh_tw"=>[],"en"=>[]},:range=>[18,93],:right=>0,:is_float=>0},
1=>{:variable=>"size",:name=>{"zh_tw"=>"腫瘤大小<br/>(Tumor size)","en"=>"Tumor size"},:is_num=>1,:hint=>{'zh_tw'=>'','en'=>'The unit of tumor size is millimeter (mm)'}, :comment_text=>{'zh_tw'=>'若有多個原發腫瘤，請輸入最大尺寸之原發腫瘤','en'=>'If there was more than one primary tumor, please enter the size of the largest one.'}, :choice_fields=> {"zh_tw"=>[],"en"=>[]},:range=>[1,230],:right=>0,:is_float=>0},
2=>{:variable=>"lymph_nodes_examined",:name=>{"zh_tw"=>"區域淋巴結檢查數目<br/>(Regional lymph nodes examined)","en"=>"Regional lymph nodes examined"},:is_num=>1,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'','en'=>''}, :choice_fields=> {"zh_tw"=>['未知'],"en"=>['unknown']},:range=>[0,90],:right=>0,:is_float=>0},
3=>{:variable=>"lymph_nodes_positive",:name=>{"zh_tw"=>"區域淋巴結侵犯數目<br/>(Regional lymph nodes positive)","en"=>"Regional lymph nodes positive"},:is_num=>1,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'此變項為預測重要變數，若無此資訊預測容易失真。','en'=>'Regional lymph nodes positive is a key predictive variable. If this information is omitted, the prediction result would be biased.'}, :choice_fields=> {"zh_tw"=>['未知'],"en"=>['unknown']},:range=>[0,90],:right=>0,:is_float=>0},
4=>{:variable=>"grade",:name=>{"zh_tw"=>"腫瘤分化程度<br/>(Tumor grade)","en"=>"Tumor grade"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'腫瘤級數代表腫瘤組織與正常組織間的分化程度，若無分化級數資訊，請選擇“未知”選項，將以級數 2 進行預測。','en'=>'The grade refers to how different the cancer cells are from normal cells. Please select “unknown” if there is no information about grade. The prediction model would use “grade 2” as the alternative variable.'}, :choice_fields=> {"zh_tw"=>['1','2','3','未知'],"en"=>['1','2','3','unknown']},:range=>[],:right=>0,:is_float=>0},
5=>{:variable=>"ER_status",:name=>{"zh_tw"=>"ER 狀態<br/>(ER status)","en"=>"ER status"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'ER:雌激素受體，若無 ER 資訊請選擇未知，將以佔多數比例陽性作為後續預測。','en'=>'ER status describes the status of estrogen receptor. Please select “unknown” if there is no information about ER status. The prediction model would use “Positive” (the majority class) as the alternative variable.'}, :choice_fields=> {"zh_tw"=>['陽性','陰性','未知'],"en"=>['positive','negative','unknown']},:range=>[],:right=>0,:is_float=>0},
6=>{:variable=>"PR_status",:name=>{"zh_tw"=>"PR 狀態<br/>(PR status)","en"=>"PR status"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'PR:黃體素受體，若無 PR 資訊請選擇未知，將以佔多數比例陽性作為後續預測。','en'=>'PR status describes the status of progesterone receptor. Please select “unknown” if there is no information about PR status. The prediction model would use “Positive” (the majority class) as the alternative variable.'}, :choice_fields=> {"zh_tw"=>['陽性','陰性','未知'],"en"=>['positive','negative','unknown']},:range=>[],:right=>1,:is_float=>0},
7=>{:variable=>"HER2_status",:name=>{"zh_tw"=>"HER2 狀態<br/>(HER2 status)","en"=>"HER2 status"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'HER2:第二型人類上皮成長因子接受器蛋白，若無 HER2 資訊請選擇未知，將以佔多數比例陰性作為後續預測。','en'=>'HER2 status describes the status of human epidermal growth factor receptor 2. Please select “unknown” if there is no information about HER2 status. The prediction model would use “Negative” (the majority class) as the alternative variable.'}, :choice_fields=> {"zh_tw"=>['陽性','陰性','未知'],"en"=>['positive','negative','unknown']},:range=>[],:right=>1,:is_float=>0},
8=>{:variable=>"Distant_Metastasis",:name=>{"zh_tw"=>"遠端轉移<br/>(Distant Metastasis)","en"=>"Distant Metastasis"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'若無遠轉移資訊請選擇未知，將以佔多數比例未遠端轉移作為後續預測。','en'=>'Please select “unknown” if there is no information about distant Metastasis. The prediction model would use “No” (the majority class) as the alternative variable.'}, :choice_fields=> {"zh_tw"=>['是','否','未知'],"en"=>['yes','no','unknown']},:range=>[],:right=>1,:is_float=>0},
9=>{:variable=>"micrometastasis",:name=>{"zh_tw"=>"淋巴結顯微轉移<br/>(Lymph nodes micrometastasis)","en"=>"Micrometastasis"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'若無顯微移資訊請選擇未知，將以無顯微轉移作為後續預測。','en'=>'Please select “unknown” if there is no information about lymph nodes micrometastasis. The prediction model would use “No” as the alternative variable.'}, :choice_fields=> {"zh_tw"=>['是','否','未知'],"en"=>['yes','no','unknown']},:range=>[],:right=>1,:is_float=>0},
10=>{:variable=>"tumor_direct_extension",:name=>{"zh_tw"=>"腫瘤浸潤至胸壁和/或皮膚<br/>(Tumor direct extension to the chest wall and/or to the skin)","en"=>"Tumor direct extension to the chest wall and/or to the skin"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'若無腫瘤浸潤至胸壁或皮膚資訊請選擇未知，將以佔多數比例無腫瘤浸潤至胸壁作為後續預測。','en'=>'Please select “unknown” if there is no information about tumor direct extension to the chest wall and/or to the skin. The prediction model would use “No” (the majority class) as the alternative variable'}, :choice_fields=> {"zh_tw"=>['是','否','未知'],"en"=>['yes','no','unknown']},:range=>[],:right=>1,:is_float=>0},
11=>{:variable=>"lvi",:name=>{"zh_tw"=>"淋巴管或血管侵犯<br/>(Lymph vessel or vascular invasion, LVI)","en"=>"Lymph vessel or vascular invasion, LVI"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>'Lymph vessel or vascular invasion'}, :comment_text=>{'zh_tw'=>'若無淋巴管或血管侵犯資訊，請選擇“未知”選項，將以佔多數比例的淋巴管或血管未侵犯進行預測','en'=>'Please select “unknown” if there is no information about Lymph vessel or vascular invasion. The prediction model would use “No” (the majority class) as the alternative variable.'}, :choice_fields=> {"zh_tw"=>['是','否','未知'],"en"=>['yes','no','unknown']},:range=>[],:right=>1,:is_float=>0}
field :form_show , :type=> Hash ,default:{0=>{:variable=>"sex",:name=>{"zh_tw"=>"性別<br/>(Sex)","en"=>"Sex"},:is_num=>1, :hint=>{'zh_tw'=>'從 18 歲(含)開始至 93 歲','en'=>'Age must be between 18 and 93'} , :comment_text=>{'zh_tw'=>'','en'=>''}, :choice_fields=> {"zh_tw"=>['男','女'],"en"=>['Male','Female']},:range=>[],:right=>0,:is_float=>0},
0=>{:variable=>"age",:name=>{"zh_tw"=>"年齡<br/>(Age)","en"=>"Age"},:is_num=>1, :hint=>{'zh_tw'=>'從 18 歲(含)開始至 93 歲','en'=>'Age must be between 18 and 93'} , :comment_text=>{'zh_tw'=>'年齡為該婦女於確診罹患乳癌時之年齡','en'=>'Age at diagnosis'}, :choice_fields=> {"zh_tw"=>[],"en"=>[]},:range=>[18,93],:right=>0,:is_float=>0},
1=>{:variable=>"calcification_score",:name=>{"zh_tw"=>"鈣化指數<br/>(Calcification score)","en"=>"Calcification score"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>''}, :choice_fields=> {"zh_tw"=>[],"en"=>[]},:range=>[],:right=>0,:is_float=>0},
}
field :form_show_in_result , :type=> Hash ,default:{0=>{:variable=>"hormone_therapy",:name=>{"zh_tw"=>"賀爾蒙治療","en"=>"Hormone/Steroid therapy"},:is_num=>0, :hint=>{'zh_tw'=>'適用賀爾蒙受體陽性病人','en'=>'Hormone/ steroid therapy is available when ER status is positive'} , :comment_text=>{'zh_tw'=>'','en'=>''}, :choice_fields=> {"zh_tw"=>['否','是'],"en"=>['No','Yes']},:range=>[]},
1=>{:variable=>"Chemotherapy",:name=>{"zh_tw"=>"化學治療","en"=>"Chemotherapy"},:is_num=>0,:hint=>{'zh_tw'=>'','en'=>''}, :comment_text=>{'zh_tw'=>'','en'=>''}, :choice_fields=> {"zh_tw"=>['否','是'],"en"=>['No','Yes']},:range=>[]},
@ -26,7 +17,7 @@ class Cancerpredictfields
3=>{:variable=>"Targeted_therapy",:name=>{"zh_tw"=>"標靶治療","en"=>"Targeted therapy"},:is_num=>0,:hint=>{'zh_tw'=>'抗HER2治療','en'=>''}, :comment_text=>{'zh_tw'=>'','en'=>''}, :choice_fields=> {"zh_tw"=>['否','是'],"en"=>['No','Yes']},:range=>[]}
}
field :form_result_is_right , :type=> Integer ,default: 0
field :text_descibe ,type:Hash ,default:{"zh_tw"=>"歡迎使用台灣準備乳癌預後系統！<br/>本預測系統由台灣癌症登記資料庫2011至2015年間共90,841位乳癌病人所建立 <br/>若要開始 請在下方輸入相關資訊","en"=>"Welcome to the Taiwan Breast Cancer Prediction System!<br/>The prediction system is constructed using clinical data from 90,841 breast cancer patients in the Taiwan Cancer Registry database between 2011 to 2015, and validated using clinical data from 49,374 breast cancer patients in the U.S.-based Surveillance, Epidemiology and End Results (SEER) database. <br/>To start, please select the information below."}
field :text_descibe ,type:Hash ,default:{"zh_tw"=>"歡迎使用台灣心血管疾病預後預測系統<br />本預測系統由全民健保資料庫2017年~2019年間共1964位病人電腦斷層影像所建立之預測模型<br />請在下方填入相關資訊","en"=>"Welcome to the Taiwan Breast Cancer Prediction System!<br/>The prediction system is constructed using clinical data from 90,841 breast cancer patients in the Taiwan Cancer Registry database between 2011 to 2015, and validated using clinical data from 49,374 breast cancer patients in the U.S.-based Surveillance, Epidemiology and End Results (SEER) database. <br/>To start, please select the information below."}
field :small ,type:Hash ,default:{'font_size'=>"0.825em",'active'=>0}
field :medium ,type:Hash ,default:{'font_size'=>"1em",'active'=>1}
field :large ,type:Hash ,default:{'font_size'=>"1.25em",'active'=>0}