省中7.1-2科研统计学习班1.课件3

1、健康大数据的科研第一部健康大数据的科研第一部V基础篇)科研中的中西医健康方第二部V用篇基于机器学算法的健康大数据关联V析以Arii1生导师1浙江省O江浙江Contact HYPERLINK mailto:Information- Information-方方Contact HYPERLINK mailto:Information- Information-中医健部Contact中医健部Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS SHBD.Lab ICT SOLUTIONS A BETTER 或

2、到Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTERSHBD.Lab ICT SOLUTIONS A BETTER 脉Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTER 脉SHBD.Lab ICT SOLUTIONS A BETTER 脉Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTI

3、ONS A BETTERSHBD.Lab ICT SOLUTIONS A BETTER 面设_进向Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTER SHBD.Lab ICT SOLUTIONS A BETTER 舌像Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTER 舌面VContact HYPERLINK mailto:Information- SHBD.Lab ICT

4、 SOLUTIONS A BETTER 舌面VContact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTER 析Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTER 析Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS ASHBD.Lab ICT SOLUTIONS A BETTER 中医量表辅

5、VContact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTERSHBD.Lab ICT SOLUTIONS A BETTER 中医量表VContact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS ASHBD.Lab ICT SOLUTIONS A BETTER 中医个性化调养方Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLU

6、TIONS ASHBD.Lab ICT SOLUTIONS A BETTER 数据统Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTER 医健SHBD.Lab ICT SOLUTIONS A BETTER 医健Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTER 西医物联SHBD.Lab ICT SOLUTIONS A BETTER 西医物联尿液便携智_检终参数_征监测声普睡眠

7、|吸_筛u子u康u子压Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS A BETTER SHBD.Lab ICT SOLUTIONS A BETTER 打开蓝定设压Contact HYPERLINK mailto:Information- Information-SHBD.Lab ICT SOLUTIONS ASHBD.Lab ICT SOLUTIONS A BETTER 西医移健康科研数据Contact HYPERLINK mailto:Information- Information-SHBD

8、.Lab ICT SOLUTIONS A SHBD.Lab ICT SOLUTIONS A BETTER 用户Contact HYPERLINK mailto:Information- Information-西医移健康科研数据SHBD.Lab ICT SOLUTIONS ASHBD.Lab ICT SOLUTIONS A BETTER 智能设_Contact HYPERLINK mailto:Information- Information-西医移健康科研数据SHBD.Lab ICT SOLUTIONS SHBD.Lab ICT SOLUTIONS A BETTER 中医健康研数据库设计部C

9、ontact HYPERLINK mailto:Information- Information-Lab ICT SOLUTIONS A BETTER Lab ICT SOLUTIONS A BETTER 中西医结合o医流程示o比于w检测和更x有检测QT种O种类型T类并Contact HYPERLINK mailto:Information- Information-中西医数据Contact HYPERLINK mailto:Information- 中西医数据Contact HYPERLINK mailto:Information- Information-中西医数据Contact HYPE

10、RLINK mailto:Information- 中西医数据Contact HYPERLINK mailto:Information- Information-Contact HYPERLINK mailto:Information- Information-Contact HYPERLINK mailto:Information- Information-中西医数据Contact HYPERLINK mailto:Information- Information-中西医数据Contact HYPERLINK mailto:Information- Information-第二部V用篇基于机

11、器学第二部V用篇基于机器学数据关联VAri算法Contact HYPERLINK mailto:Information- Information-WKWKyt托智V境2作为一|开数据挖掘工作，WEKA集了数据挖掘任机器学法，包数据进预理1分1_11s则在交式界P化2虽然wa齐y，但o一款手型V软什N是关联规则s则数据挖掘o数据挖掘域热点之一什N是关联规则s则数据挖掘o数据挖掘域热点之一ss，s则用PV类则式产2由于得到s数庞，通常需y据盖率Coverage和准率 沃玛为高销售，曾由于仅高盖率s则t，只_达到定最尿布P啤酒调u在同一货盖属性值组，些组成为集项Itemset，wo任_一n属销售，背

12、后原竟是s则的经典案sV除了购物篮数据_，运用于物息学1医等域，挖掘医数据，状P之间s，为医购物篮分 啤酒P和治疗提供线 Weka中的关联面Weka_门用一 Weka中的关联面Weka_门用一te面板g类问题s板包含了学类器等w它板g进选和置为s则学器设置(1)购物篮顾客购物数据子，1所示，woTIDo食物唯一标识，集o给定客商品集，成一包，奶1n包，尿_，啤，鸡蛋2奶，尿_，啤，乐(3)集设为购物篮数据oy集，T 3,(1)购物篮顾客购物数据子，1所示，woTIDo食物唯一标识，集o给定客商品集，成一包，奶1n包，尿_，啤，鸡蛋2奶，尿_，啤，乐(3)集设为购物篮数据oy集，T 3, 每n包

13、含集o子集2包含0n或n集称为集包，奶，尿_，啤4(4)支持度计数包特定集食物n数2果集TS子集，就称包集5(5)s则te Rules则o形 蕴涵达式，wo，和oO交集，即(6) o持度Support支持度确定则用于给定数据集频繁程度，集支持sup()=包含集S数/Do总食物数V比100%2支持度o一n重亮度(7) 置信度Confidence:置度确定Y在包Xo频繁程度2置度度则用于11100002101110(8) 频繁项集iee_支持度阈值所有集，即若集 支持度等于给定最_支持度，称S为频繁集(9)则rule从频繁集o提所有高置度则什N是Aioi算法Apriori法o一ns则挖掘法2右侧给

14、了Apriori法产频 =什N是Aioi算法Apriori法o一ns则挖掘法2右侧给了Apriori法产频 = ?min/发现所有的频繁1集集为频繁k-集集/产生候选项= 事务tT /识别属于t的所有候Weka提供Apriori法实类for每个候选项集c = +end /支持度计数增end in/提取频繁k-项 =c|c ) Result= 手你AriStep1:导入为了了解_应用Apriori法带购物篮V手你AriStep1:导入为了了解_应用Apriori法带购物篮V数据集完标型数据果值属性，先进离散化在Current relation子板o，课属性数217n，实数2 手你AriStep2

15、:手你AriStep2:查看数据结在预理面o点 breadand cake=t lift:(1.27) lev:(0.03)155 bakingneeds=t biscuits=t fruit=t total=high 760Best rules biscuits=t frozen foods=t fruit=t total=high 788= breadand cake=t lift:(1.27) lev:(0.03)155 bakingneeds=t biscuits=t fruit=t total=high 760= breadand cake=t 手你Ari得出了十条最佳s则lift:

16、(1.27) lev:(0.03)149 3. bakingneeds=tfrozen foods=t fruit=t total=high 770= breadand cake=t lift:(1.27) lev:(0.03)150 四g则饼+水果+蔬菜+高总额=包和蛋4. biscuits=t fruit=t vegetables=t total=high 815 = breadand cake=t lift:(1.27) lev:(0.03)159 5. party snack foods=t fruit=t total=high 854= bread and cake=t 779 li

17、ft:(1.27) lev:(0.04) 164 conv:(3.15)biscuits=tfrozenfoods=t vegetables=t total=high 797= breadand cake=t lift:(1.26) lev:(0.03)151 bakingneeds=t biscuits=t vegetables=t total=high 772= breadand cake=t lift:(1.26) lev:(0.03)145 g则会零食+水果+高总额=包和蛋 8. biscuits=t fruit=t total=high 954= bread andcake=t 86

18、6 lev:(0.04) 179 conv:(3)9. frozen foods=t fruit=t vegetables=t total=high 834= breadand cake=t lift:(1.26) lev:(0.03)156 10.frozenfoods=tfruit=t total=high 969= breadand cake=t 877 lift:(1.26) lev:(0.04) 179 conv:(2.92)十g则食品+水果+高总额=包和蛋手你Ari分意十g则o，商品次，额比高，给一些易息得出了十条最佳s手你Ari分意十g则o，商品次，额比高，给一些易息得出了十条最

19、佳s食品+水果+高总额=包和蛋饼1食品等速食顾客，会便购些水果1菜，已充身_所需维饼1食品水果1蔬菜顾客，会包和蛋P食品顾客，一次购会很，总额高 四总额高交易，一般包和蛋，等等于理g说，些息常重，影响到安排货架1_ ，提供快速款通道安排货等服，案例数据为某健康机的体检数据P健康问卷，前2由于该数据包括分型1数型等数据，需进数据洗，离散化，元化身体腰臀w中性粒细胞绝对中性粒淋巴细胞绝对淋巴细嗜酸性粒细胞绝对嗜酸性粒细胞比嗜碱性粒细胞绝嗜碱性粒细胞比女女0女w720w0w0w0女女00ww女ww0ww0女ww0女0ww0w500w00女女w1女0w0ww60女女ww案例数据为某健康机的体检数据P健

20、康问卷，前2由于该数据包括分型1数型等数据，需进数据洗，离散化，元化身体腰臀w中性粒细胞绝对中性粒淋巴细胞绝对淋巴细嗜酸性粒细胞绝对嗜酸性粒细胞比嗜碱性粒细胞绝嗜碱性粒细胞比女女0女w720w0w0w0女女00ww女ww0ww0女ww0女0ww0w500w00女女w1女0w0ww60女女ww0w女女女0女w项项英变量值项项英变量值变量值变量值肉及肉制品均M eetfoodRG男女A1425鱼及水产品均RA46M ON新鲜蔬菜均日摄Vegetab R新鲜水果均日摄R体由于Windows版本 HHW RBlood 您均每周吃的yR 您均每周吃宵的yMidRw喜好YNHigh 喜好StYNDYNW

21、4R变量称转CoYNN2喜好HYNLYM =4 LYM 20-R嗜酸性粒细胞EO 项项英变量值项项英变量值变量值变量值肉及肉制品均M eetfoodRG男女A1425鱼及水产品均RA46M ON新鲜蔬菜均日摄Vegetab R新鲜水果均日摄R体由于Windows版本 HHW RBlood 您均每周吃的yR 您均每周吃宵的yMidRw喜好YNHigh 喜好StYNDYNW 4R变量称转CoYNN2喜好HYNLYM =4 LYM 20-R嗜酸性粒细胞EO OYN嗜酸性粒细胞比EO =5BASO# BASO =1=YNFu lYN单核细M ONORYNM ONO3R Sm udg ig RHGBR喜

22、好YN R喜好SpYN_板体分布宽PDR您均每y的工作间 M 您每yk间您 HR红细胞均体M 82-R您前吸烟情的Sm YN红细胞均M R数效果示o图GAge Age BM BM oDW NEUNEULYM LYM EOEOBASOBASOM 25R2=R=5M 46-M ON4R=4R=5M 46-42=4R=1M 25M ON42=420-=1M 25RR=20-=M 25H42=420-=5M 2542=4R=5W om 25M ON42=420-=5W om 46-M ONRR=420-=5W om 46-M ON42=4R=5W om 25M ON42=4R=M 46-M ON42=

23、420-=5W om 46-42=420-=M 2542=420-=5W om 25M ON数效果示o图GAge Age BM BM oDW NEUNEULYM LYM EOEOBASOBASOM 25R2=R=5M 46-M ON4R=4R=5M 46-42=4R=1M 25M ON42=420-=1M 25RR=20-=M 25H42=420-=5M 2542=4R=5W om 25M ON42=420-=5W om 46-M ONRR=420-=5W om 46-M ON42=4R=5W om 25M ON42=4R=M 46-M ON42=420-=5W om 46-42=420-=M

24、 2542=420-=5W om 25M ON42=420-=5W om 46-M ON42=420-=5M 25M ON42=420-=5M 46-M ONH42=420-=W om 2542=420-=1M 2542=420-M 42=420-=5M 42=420-=5W om 25M ON42=420-=5W om 25M ON42=420-=5W om 25M ON42=4R=5M 25M ON42=420-=M 25M ONRR=4R=5M 25M ON42=420-M 2542=420-=5M 46-M ONH42=420-=5M 2542=420-=5M 25M ONH4R=4R

25、W om 46-M ON42=420-=5M 2542=420-=5 NITH=Negative 1.PCT=SafetyPH=4.6-812818=NITH=Negative12782 lift:(1) lev:(0) 5 conv:(1.12)l单核细胞绝对值在0.12-0.8正常值，血小板压积正常 亚硝酸血小板压积正常，PH酸碱度4.6-8正常值正常检测结果2. LYM#= NITH=Negative lift:(1)lev:(0)5淋巴细胞绝对值=4正常值，血小板压积正常，PH酸碱度4.6-8正7. LYM#=4 MONO#=0.12-0.8 PCT=Safety 12757 NITH

26、=Negative lift:(1)lev:(0)4淋巴细胞绝对值 NITH=Negative 8.PCT=SafetyU-egative12754=NITH=Negativelift:(1)lev:(0)5单核细胞绝对值在0.12-0.8正常值，血小板压积正常，PH酸碱度4.6-lift:(1)lev:(0)4血小板压积正常 ，尿检葡萄糖结果正常亚硝酸正常值亚硝酸盐检正常正常结4.PCT=Safety12912=NITH=Negativelift:(1)9.PLT=Safety-8 12730 = NITH=Negative 4lift:(1)lev:(0)3正常血小板压积正常 亚硝酸盐检测

27、正常5.LYM#=NITH=Negative12795 lift:(1) lev:(0) 4 conv:(1.09)10. PLT=Safety 12826 = NITH=Negative lev:(0)2淋巴细胞绝对值=4正常值，血小板压积正常 亚硝酸盐检正常血小板计数正常亚硝酸盐检测结正常ev:(0)变量WBC至失败原因大剖析均为常中的白胞检查项结果分11由于k常值过 21则过于集中WNEUNEULYM LYM EOEOBA SOBA SOM ONOM ONORBC HGPDR2 =R=RR15 5-4R=R=RR15 5-42=R=RR15 5-42=20-=RR15 5-RR=20-=

28、R3RR15 5-42=20-=R15 5-42R=RR15 5-42=20-=R15 5-RR=20-=R15 5-42=R=R15 5-42=R=R15 5-42=20-=RR15 5-42=20-变量WBC至失败原因大剖析均为常中的白胞检查项结果分11由于k常值过 21则过于集中WNEUNEULYM LYM EOEOBA SOBA SOM ONOM ONORBC HGPDR2 =R=RR15 5-4R=R=RR15 5-42=R=RR15 5-42=20-=RR15 5-RR=20-=R3RR15 5-42=20-=R15 5-42R=RR15 5-42=20-=R15 5-RR=20-

29、=R15 5-42=R=R15 5-42=R=R15 5-42=20-=RR15 5-42=20-=R15 5-42=20-=RRR15 5-42=20-=R15 5-42=20-=R15 5-42=20-=R15 5-42=20-=R15 5-42=20-=RR42=20-RRR42=20-=R15 5-42=20-=R15 5-42=20-=R15 5-42=20-=R15 5-42=R=R15 5-42=20-=R15 5-RRR=R15 5-42=20-R15 5-42=20-=R15 5-42=20-=RR15 5-42=20-=R15 5-4R=RR15 5-42=20-=R15

30、5-42=20-=R15 5-RR=R=R15 5-42=20-=RRR42=20-=2h smokig=Y 1779 = Drink=Y 1. spicy=Y sitting times=2h smokig=Y 1779 = Drink=Y lift:(1.34) lev:(0.03) 414 2. sitting times= fat=N 2188lift:(1.02) lev:(0) 41 conv:(1.19)失败原因大剖析V果右侧所示有s则仅有 Drink=Y lift:(1.34) lev:(0.03) 479 4. spicy=Y smokig=Y fat=N 1768 = Dr

31、ink=Y lift:(1.33) lev:(0.03) 400 5. working time=8h exercise time=1h fat=N 2835 = times=2h lift:(1.07) lev:(0.01) 165 6. working time=8h exercise time=1h 3176 = times=2h lift:(1.07) lev:(0.01) 182 7. working time=8h exercise time=1h Drink=Y 2328 = times=2h lift:(1.07) lev:(0.01) 132 working time=8h

32、exercise time=1h Drink=Y fat=N 2053 = sitting times=2h 1855 lift:(1.07) lev:(0.01) 115 Eat too fast=Y working time=8h exercise time=1h 1756= sitting times=2h 1585 lift:(1.07) lev:(0.01) 97 working time=1h 5149 = fat=N lift:(1.01) lev:(0) 58 W N EULYM EOBASO M ONOHGBPD=121r掉冗_变=W N EULYM EOBASO M ONOHGBPD=121r掉冗_变=则VBestrules1. DBIL=High URIC=High 2603=Gender=Man lift:(1.52)lev:(0.07)869直接胆红素肝功能检查项目高，尿酸肾功能检查项目Bestrules6. URIC=High Sittingtime=2h Drinking=Y2216= Ge