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ҽѧʶͼ׹

ʱ䣺2019-06-28 05:57:48  Դ  ߣ

 ժҪҽѧʶͼʵִҽƵĻʯ,Ч׼ҽƷȻ,ʶͼ ׹ҽѧͨЧʵ,ƶ,չԲҽݿ,רҵǿ,ṹӵص,Թҽѧʶͼ׵ĹؼԵϵȫ,ҽѧʶʾȡںϺԼ岿,ҽѧʶͼϢʶʴϵҽƷеӦ״,ϵǰҽѧ ʶͼ׹ٵĸս͹ؼ,䷢չǰչ

 

ؼʣʶͼףʶȡʶںϣʶȻԴ

 

 

 

1998 ά֮ Tim Berners-Lee DzȵϱԿ͹⣬γ һ׼Ḷ́ͬʱӿ (Linked Open Data)ĹģɢԽԽʶԪݡ

 

ʶͼ׾Ĵݱ²һʶʾķʽǿ˹ܵչ£ʶͼ漰ʶȡʾںϡʴȹؼһ̶ȵĽͻƣʶͼ׳Ϊʶһȵ㣬ѧߺ͹ҵ㷺ע

 

ʶͼ׵ǰȡʶ֯ͱ﷽ʹʶ֮֮佻ͨͼӹ˵һʶͼģʽͼͼ֮Ĺϵɣģʽͼʶĸǿϵʽģ ʽͼнڵǸʵ壬Ǹϵ part-ofͼǿһϵп͹ʵͼеĽڵ࣬һģʽͼеĸʵ壬ַͼеıǾʵģʽͼͼ֮Ĺϵָͼʵģʽͼĸ֮ĶӦ˵ģʽͼͼģߡ

 

    ͨʶͼУȸ“Knowledge Graph”ѹ“”YAGODBpediaȣǾйģʶص㡣ĿǰҽѧʶͼӦ Ĵֱ֮һϺҽԺҽҩʶͼסҽʶ SNOMED-CTIBM Watson HealthӦýҲʼߡ 

 

    ʶͼܴݵǰо⣬Զеļ˳ӦϢʱķչ罥ʽģʽƣݼɣ RDFOWLȱ׼֧֣ʶȡҽѧϢҽϢϵͳķչ˺ҽѧݡδЩϢӦãƽҽѧܻĹؼ⣬ҽѧʶٴϡҽӲ ܻĻ 
 

   ĵһҽѧʶͼ׵ĹҪ漰ҽѧʶʾҽѧʶȡʵ塢ϵԵijȡҽѧʶںϣҽѧʶ֡Ȼ˻ҽѧʶͼ׵İʴ𡢾ߵȵӦ״ҽѧʶͼ׵оӦø㣬ٵսԼδ ķչƽչ 

 

1 ҽѧʶͼ׹ 

 

    Ľҽѧʶͼ׹Ϊ岿֣ҽѧʶıʾȡںϡԼͨӴĽṹǽṹҽѧȡʵ塢ϵԵʶͼ׵ԪأѡЧķʽʶ⡣ҽѧʶں϶ҽѧʶݽӣǿʶڲ߼Ժͱͨ˹ԶķʽΪҽѧʶͼ׸¾ʶ򲹳ʶʶƳȱʧʵԶɼơDZ֤ݵĸҪֶΣҽѧʶͼ׵ĿŶȺ׼ȷȡ

 

11 ҽѧʶʾ 

 

ʶʾΪһԼʶŻ ʽģʽḶ́Ҫоʶķ ʾʽӰϵͳʶȡõЧʡȻҽѧӣʽһӲʽͱ׼ͬ漰ص㣬ҽѧʶʾ죬ͬʱҲҽѧʶʾս

 

    ҽʶõʶʾУν߼ʾʽʾܱʾʾȵȡ磬 SNOMED-CTڵ MYCIN ϵͳ󳦸˾ݿ EcoCycȡʶͼʶϵӻЩڱʾȱԣΪҪʶʾΪҽѧʶʾĸ򲹳䡣

 

    ʾʽʾʶԣʵ 1ϵ ʵ 2Ԫʾڵ㣨ʵ壩ʶͼ֮𲽵Ͽɡʾ𣺱עʵص㣬Ⱥ߸۽룬ҲиķչDZҲֶ ҪRDFRDF-SDAMLOWLȡʹñʾҽѧǿ󡢿ɻҽϢϵͳ㸴ùҽݵṩڲͬ׼ͳƾۺϡҽѧĹҪҽѧĽṹ͸ܽɬǿԵҽѧʶЧرĿǰҽѧʶУҽѧʶLinkBaseTAMBIS(TaO)ȵȡ

 
    
ʶͼ׵ĽڵӰĽṹӶȼЧʺѶȡʶʾѧϰѧϰоϢʾΪܵάЧϡ⣬ӶʶںϺ[άʾһֲַʽʾ distributed representationʹöԪĹƣʹöάʾϢʶʾѧϰеĴģУṹʾStructure EmbeddingSEģͣsingle layer modelSLMģͣlatent factor modelLFMTransEķģ͵ȵȡЩģͿʵЭͬԺ㿪ʾʵ壬ٶԱʾʵϵӦľ任кʵԣΪ ֮ʶȫṩҪοKleyko ֤˷ֲʽʾʾҽѧͼзྫܹѾ䷽ͬHenriksson ˶Աʹöʶʾʾ EHR 4 ¼ϼ¼ҩʹü¼ƷͲ̼¼ȻʶʾѧϰΪҽѧʶͼ׵ʶʾ ˼·

 

12 ҽѧʶȡ 

 

    ҽѧʶͼ׵ĹҪǴӷǽṹ˹Զȡʵ塢ϵԡ˹ȡͨרһռϢȡʶĿǰͨ˹ҽѧʶٴҽѧʶ⡢SNOMED-CTICD-10 ȡԶȡûѧϰ˹ܡھϢȡԴԶȡʶͼ׵ĻԪءԶҽ ѧʶĵһ廯ҽѧϵͳ UMLS˹ȡĴ̫ʶԶȡĿǰоҲǽʶͼ׵ơҪԶԴгȡʶϢʵ塢ϵԳȡ

 

1.2.1 ʵȡ 

 

    ʶıеҽѧʵ壬ĿͨʶؼһȡϵϢʶĸԱ׼ʽʾҽѧʵȡǴҽѧԴȡض͵ʵ塣ڽҽѧʵijȡΪࣺҽѧʵ估ķҽѧԴͳѧͻѧϰԼѧϰ

 

1ҽѧʵ估ķ 

 

    ÷ͨ˹ģʽƥɴʵʹҽѧʵгȡҽѧʵ壬÷ǾսԵġһĿǰûֵ͵ʵ壬Լ򵥵ıƥ㷨DzӦʵʶġΣͬĵʻɸĵĸıָͬ壨磬
׿ʻʵҲԷٴΣ ҩʵͬʱӵжƣ PTEN MMACָͬĻ򣩡ˣҽѧʵ估ֻڱ㷺ʹá FriedmanͨԶģʽ﷨ʶӲеҽѧϢWuʹ CHV SNOMED-CTҽѧʵ˲ʵȻ÷ܴܸߵ׼ȷȣ޷׽⣬ҲרұдĴʵ͹޷Ӧҽѧʻ㲻ӿֵʵ

 

2ҽѧԴѧģ͵Ļѧϰ 

 

    ÷ͨʹͳѧͻѧϰҽѧԴصѵģͣʵʶӢҽѧʵȡ棬 ߴԵıע I2B2 2010ӢĵӲעϡ⣬ SemEvalNTCIR⣬Լ NCBIϿȣṩӢҽѧʵעݡ

 

    Ŀǰ÷ɷģͣHMMģ ͣCRF֧ģͣSVMȡKazama ʹ SVMģͽҽѧʵʶ POSʻ棬޼ලѵ HMM״̬ص㡣÷ GENIA Ͽ׼ȷʸرǷܽϸЧӦڴģϼZhouͨһϵصѵ HMM ģͣʵĹص㣬̬ص㣬POS崥Ʊȡʶ׼ȷʴ665% GENIAϿеٻʴ66.6 ۺϷChen FriedmanMEDLEEϵͳʶҽѧıϢӦĶϵͳʹȻԼʶڿժҪдڵıͶҽѧʵʶ𳣳ʹýСıʶ⡣Chen FriedmanԶصǧ UMLS ϸ幦ܺϸϰԼ鶯ﱾеļٸֶ˼ٸʵʵʶ׼ ȷʴ 64.0ٻʴ 771ȻߣΪ֮оԱṩһе˼· 

 

    ҽѧʵʶʹݬԼ˹ערҵҪߡĿǰרоνͶݱעоԭҪúδעģܣСнѧϰ̽ѧϰʶγһѧϰ̡

 

3ѧϰ 

 

    ѧϰʼ㷺ӦʵʶߴԵģ2011CollobertһģͣЧܳ˴ͳ㷨Sahu CNN RNN ķɴǶص㣬Ŀǰõ㷨ҲҪص㹤̡ ҽѧWe ˻CRF˫RNNص㣬 ʹSVM мʵʶĿǰҽѧϢʵʶѧϰģ BiLSTM-CRF ģͣJagannatha˶Ա CRFBiLSTMBiLSTM-CRF ģͣԼһЩǵĸĽģͣӢĵӲʵʶЧʵл LSTM ģͶ CRFЧã BiLSTM CRF ģܹһ 2%-5%׼ȷʡ

 

1.2.2 ʵȡ 

 

    ĽҽѧʵϵȡؽΪࣺ aͬҽѧʵ㼶ϵȡ缲“θ-θ”ȣbͬ͹ϵȡ“-֢״”ȡ

 

1ͬҽѧʵ㼶ϵȡ

 

    ͬҽѧʵ㼶ϵԽΪһҪ is-a part-ofϵҽѧϽѧϵҵ淶˴ϵҽѧʵ䡢ٿơϢ׼нС ICD-10SNOMEDҽƴʵҽݿ⸴עҽѧרҵ޴ʻķ͸׼ȨҺǷ㣬϶֤ҽҵ㷺Ͽɣdzȡ㼶ʵϵѡԴԾҽƴʵ䡢ʶṩݸʽͿ API ӿڣͨ桢ʽD2RӳȼгȡֲṹȡԪƥ䡢 λϵ

 

2ͬҽѧʵϵȡ 

 

    ͬҽѧʵϵʶ»ͬԴʵ֡һǰٿƻṹԴ MedlineUMLS ȣǰṹĵӲ 

 

    ҽѧʵޣҪǼ֢״ơҩƷȣĿǰͨʵԤҪȡĹϵͣٽȡתΪԤʵϵĿǰδͳһı׼ȡҽѧʶͼ׹ģʽͼáʵʶԴĿļӦóȣ I2B2 2010 УӲеʵϵֳҽҽ⡢ҽơҽࡣ

 

    Uzuner ŶھӲȡҽʵϵʹʵ˳;롢﷨ʹʻصѵ 6 SVM ͨԱʵ飬ָʻصʵϵʶ ĸҪáڴ˻ϣMedline ժҪFrunza ȳȡ˼Ƽֹϵ UMLS ҽʵص㣬ȡ˲ʵ Abacha ͬ ʹ˹ģ SVM Ļģͣȡ 9407%ƽ Fֵоָʱģƥ䷽Ҫãʱ SVM Ҫá

    

⣬ڹϵʶķ෽ԱоУBruijn I2B2 2010 жԱомලͻ Self-training İලı֣UMLS䷨δݶԹϵʶӰ졣ԤϵȻתΪķоժģƥ䡢ͳƹֵȷȡϵ Medline ժҪͨͳƻĹȡϵݹ־˹ϵͼ Medline ժҪͨ﷨ͼģʽƥ䣬ȡϵ

 

123 Գȡ

 

    ԳȡָԺֵԣattribute-value pair AVPijȡԵijȡָΪҽѧʵ幹бҩƷ԰Ӧ֢֢ȡֵijȡָΪʵ帽Ӿֵ簢Īùع߽áijȡӿȡӽṹݿȡӰٿվȡӴֱվаװɡԼģʽƥӲѯ־ȡȡҽѧʶͼ˵ҪͨἰҽѧʵҽѧվСֵһǣǰ߹ԺֵԵԱȽϡ裨ر򣩣ҽѧվһȡϡ

 

     AVP ṹ̶ȱȽϸߵվάٿơA+ҽ ѧٿ6ȣйϢInfoBoxԷȡʶInfoBox ֱ֣ȡʵӦֵŶȸߣģСڸʽ졢ṹҽҩվʹֱı˵ͨǹվİװӴȡ վժע͵ϸҳ(Detailed Pages)ЩҳͨģʽѧϰԶһ Xpath ʾģʽȻӦڸվϸҳдӶʵԶ AVP ȡ

 

13 ҽѧʶں

 

    ʶںǸ߲εʶ֯ʹͬԴʶͬһܹ淶½ϡ硢ӹ֤µ 7Ŀǽʶõ⣬ǿʶڲ߼Ժͱʶͼвͬȵʶʶں ϸΪʵ롢ʶںϵȡ

 

1.3.1 ʵ 

 

ҽʶͼʶԴĶԵʶʶݬ롢ʶȷ⡣ ҽѧʵڲͬԴдϸĶԪָ⣬簢ùڰٶȰٿбΪϣ A+ҽѧٿбаùءùءùصȣƷ̩ءϣصȡ ʵҽѧʶںзdzҪһʵжԴ칹еʵǷָʵͬһĹ̡

 
    
еĶ㷨гɶʵ뼯ʵࡣɶʵ뷽ֻʵƶȣڴͳģ͵ʵ뷽ͻڻѧϰʵ뷽ǰFellegi˽ֵʵתΪĹΪӦںܶʵ빤У߳õĶ뷽з㷨ID3 SVM ෽ѧϰܵȻмලѧϰķ޼ලѧϰµIJͼģ͵Ȼ޼ලѧϰķ 

 

    ʵڳɶʵĻʵƶʱʵ໥ϵΪֲʵȫּʵ롣ǰߵ㷨ʹռģͺƶʵԣ׼ȷʲߣٻʺٶȱȽϿɹۡͨͬƥ֮໥ӰʵƶȣַΪԴͻڸģ͵ļʵ뷽Դķͨʼƥ“bootstrapping” ʽزµƥ[Lacoste-Julien ڴ˻ SiGMa 㷨ʺϴģʶ⣬Ҫһ˹Ԥڸģ͵ķͨΪʵƥϵ;߽ӵĸģͣϵҶ˹ģ͡LDA ģ͡CRF ģͺ Markov߼ģ͵ȣƥЧЧʻдߡ 

 

    ԲͬʶԴݳݳͻʱҪʶԴĿɿԼͬϢڸʶԴгֵƵȵءͮ]ڹҽҩʶͼʱԴĿŶȽ֣ڲͬԴгֵĴ ӦֵֶС 

 

    ʶģʵ,ʶеʵԽԽ,׼ȷЧʵδʶ ϵо֮һ

 

132 ʶں 

 

    ʶʱͬᵼʶݵĶԺ칹ԡӵҽʶ˵ǰʶⶼijһij༲ҩģƢθ ʶ[60]ҽҩʶͼ׵ȣҪƵҽʶͼףҪԲͬҽʶںԼδǵʶͲϲʶںеʶͼСҽʶͼ׵ĹһϵµĹ̡ 

 

    ʶںϵоʼ“ƥ”ԱԽƥ䡣ʶģͽṹӻԼʵ֮໥ϵҲΪǵءSuchanek Ļڸʵʶں㷨PAIRSʶΪ룬ܹЧؿ籾ͬʱʵԺ͹ϵ PARIS Ҫһ˹롣ľޣԶش Web лȡʶںʮֱҪDong ˽ųԪʽȡʵʹ PRA ģַ Freebase ͼʶںһʶںϷ ɴԶ Web ģĸʶˮ׼Чʡ

 

    ҽDieng-Kuntz ˽ҽݿתΪҽƱ壬ȻıʹðԶԹ߽ȡ˹¶ԱչͲȫʽԶʶĸΡBaorto ˽ԴٴϢϵͳʱȷݵĿǷѾڣȻ MED( Medical Entities Dictionary)ͬʱԱ֤ݵһԡ 

 

    Ŀǰҽʶͼ׵ںϼһЩij,Ҫ˹Ԥ,Чʶں㷨дһоҽʶͼҲԿժڰķʽʶں

 

1.4 ҽѧʶ 

 

    ǴʶھϢʶעʶ뷽ѡã˹룬Ƴȱʧʵ⡣ҽѧʶͼУʶҽɲѼƣҽƲʡȻʹͬļҽҲݲ״ͬϣ
ҽѧʶͼױ봦ìܵϢ˹ҽѧģ͵ĸԡ ͳʶл߼Description Logic DLڹRule-based ReasoningCBRڰCase-based ReasoningCBRȵȡBousquet C ʹû DAML+OIL ߼ִĽҩ 䱸ϵͳźż⣻Chen R ժ RBR ϵͳṩҩ飻CARE-PARNER ϵͳǻCBRϽƷȵȡ 

 

    ͳʶһ̶ƶҽԶ̣Ҳѧϰ㣬ʲߣ׼ȷʴȱݣԶδʵӦõҪҽݣʱɱػϢ©ʱӳ ⡣˹ܣر˹磨Artificial Neural NetworksANNsӵдӺھϢȻơ ART-KNNART-Kohonen neural network CBR ϿߺЧʺ׼ȷȡģͣneural tensor networks FreeBase ȿű϶δϵ׼ȷʿɴ 90.0%Karegowda A G Pima ӡڰʶ⣨PIDDʹŴ㷨 Genetic AlgorithmGAͷ򴫲磨Back Propatation NetworkBPNĻģͣ׼ȷ 7%ҡ

 

    ѧϰʶͼΪԴͬͼʶͼΪͼʵΪڵ㣬ԹϵΪߣùϵ·ڵĶಽ·Path Ranking PTransEԭƶʵϵͼݿʹʶͼͼݽṹд봫ͳݿȣǰڸάȹѯЧߡȻͼݿδ죬޷̫ӵʶΪеͼ ݿ Neo4jTitanOrientDB ArangoDBȡ껷ܵҽ뻼߰ȫϵͳУͽҽƱݴ AllegroGraph ͼݿС

 

    ͨʶͼƣҽѧʶͼҲжԿʶʶģʶо

 

1.5  

 

    ݵֱӰݵãDZ֤ݵĸҪֶΣѡŶȸߵݡҽѧ϶ݺҽѧʶͼ׵ĿŶȺ׼ȷ˸ߵҪǹҽʶͼ׵һǹᴩ ʶͼ׵ڣ 2013 걾ᣨOntology Summit2013ͶԱڵĸ׶Ҫеص˵

 

    Ŀǰʶͼ/ɷΪĴࣺڻƽ ׼ķڱ/Ӧõķķͻָķ 1 Ա⼸ֱ

 

    ҽѧ򣬱Ӧó죺Clarke ʹûĴ 2004 2012 ܣBright ʹñԭר Ϊָڿؾ֧ϵͳеЧGordon ͨӲϰٴʵ“ ׼”ĽȾ BCIDOȡΪûбͼӿ챾Զ̣߷װͬĹߴӲͬӽǶԱIJָͬIJิ㣬ѡʵĹ߲ܶԱ ӦҪ

 

    ȽϳõıУODEvalOOPSOntoManagerCoreȡҽѧ壬ҽѧʶͼ׻ӶϢˣ רϢʶȷ 

 

    ͨʶͼףҽѧʶͼرԣaҽѧϽԣۺ϶ַжǶȵ Bright ñԭרеȼ bõȼϸߵľ棨alerts봦صľ-΢ﲻƥ侯ҩ ǾټԿƾƷ-֢״䲻ƥ侯ȣc˴ʽʶͼ⣬Ҳעڼʶ࣬ΪʶȫԺ׼ȷԽֱӰٴֵ֧Ŷȡ⣬ҽѧʶͼںѧڶѧƵĽѧƣָ겻ܼ򵥵ijѧƵָ꣬ӦۺϿڶءʶͼ/±ʾ

 

IMG_256

  

ˣ˽ͨʶͼAmmenwerth E ˽ҽѧص㣬ҽѧʶͼʱٵжĸӶȣָߵĹϵж ֱ

 
    
ѿҽѧʶͼоҪڷԼݵо档ȻеȱϵͳдҽѧԵĽǶȶʶͼ׽ۺǽͨõ΢ȥijһָ꣬зɢԣƬԡ 

 

2 ҽѧʶͼӦ

 
    
ǶԽ,ҽƱáҽԴ֮ìؽԴ,ڽ˹ܵķٷչԼ׼ҽơҽƵ,ҽѧʶͼӦҵѧĹ㷺ע,ۡЧ׼ҽƽĿԴеҽѧʶͼ׵Ӧһ޴DZ

 

21 ҽϢ 

 

    ͳҽҪ԰ڼƵҽҳмûѯҽѧʶͼ׵ṩûҳ䳬ӵĵϵ ͬʵḻϵ 

 

    ʶͼ׶ڴͳϢŻҪڲѯչʶͼгȡѯصʵ弰ʵϵԽչѯԸõûIJѯAronso ˽罫Ϣ UMLS вѯչӦҽѧ׼ Díazgaliano ҽѧϢмҽѧ MeSHвѯչͬ塢ͬ ظʵ͹ϵĽϢЧHuang ҽѧĻϣʹ LSA Զھʵϵҩյϵҩ໥ùϵȣʵϵʵ-ʵIJѯչйҽѧԺļ 2002 꿪ʼҽҩѧϵͳ˰1260Լ127ϵҽҩʶͼסͨڼϵͳǶ“ʶƬ”Լһ“ʶͼ”չϵͳҽӻûѡ ĸʼѯ

 

    Ŀǰ͵ҽר WebMd8 OmniMedicalSearch 9 Healthline10 WebMd OmniMedicalSearch ֱȫĿ¼͵Ĵͳ 棬Healthline һʶҽѧϢ棬 ʶ⺭dz 850000 ҽԪݺ 50,000 ໥ ĸGoogle ʶͼӦҽ Ӧϣû֢״ʱGoogle 400 ֽ״ݣͨһϢƬ֢״ԼǷϸǷдȾԡӰЩε˵ϸϢҽѹҽ360ҽ߶ǽԪʽʶ棬ۺȨʶҽơѧվΪûṩάٿơʴ𡢹 ǰѧĵȨʵݡ

 
    
ʶͼ׵ѳΪֽҪʽ似ҲڲϸĽơĿǰҽҪҽѧʶͼ׵ʶ걸ҽѧ ʶͼؼ

 

22 ҽʴϵͳ 

 

    ʴϵͳҲʶͼ׵ĵӦóĿǰڻʶͼ׵ʴϵͳժõķҪϢȡķʾϢʶԴȡѡ𰸣ķȻʾһ߼ʽֽͨṹʶҴ𰸣ռ佨ģķʹռȻʾԼʶͼеʵ͹ϵͨѧϰѧϰȷʴģͽлش 

 

    ڵҽʴϵͳоҪϢȡժҪʶͼ׸ʹʴϵͳоȵתʶͼ׵ʴϵͳоTerolʹ UMLS Լ WordNet ʶ⣬ 10 ҽѧͣȻԴӦɺʹ߼ʽ ʶȡ𰸡Abacha ˶Ա˻ҽѧ ҽʴϵͳҽѧ塢ʶNLP ؼϵʵһҽԶʴϵͳѧͮ 껷ܵϺҽԺ˰⡢֤⡢
֢״⡢вҩͷҽҩʶͼףڸʶͼ׽ҽҩʴ͸ҩϵͳͨʶͼ׵ķִʡģƥ䡢ģķִشʵ塢ԡֵģ⣬ͼдԶתõٽҽվIJʵݣҽ 

 

    ҽƴֱʴϵͳоУҽѧʶͼ׵Լҽѧʶʾĸԣδָͻơۿ򣬶ضרҵʶҪ󲻸ߵ £IBM Watson ϵͳ΢Сںϴͳʴϵͳʶͼ׵ijɹ

 

2.3 ҽƾ֧ϵͳ 

 

    ҽʶͼףҽƾ֧ϵͳԸݻ֢״ݣϡƷټתָϣҽƷз©ȱ

 

    Ángel һģ߼͸ ͳŻҽѧϵͳ ODDINϵͳʶܰһ߼ʶһҽѧʶ⣬߼ʶУ߼򣬶ҽѧʶۺ ҽѧԴֱֶ֧ʾʽ RDFRDFS OWL SPARQLϷĺǻڱҶ˹۽и Martnez-Romero [106]Ƶ iOSC3 ϵͳһڱԼಡܼغϵϵͳϵͳ ߵ״ṩƷĽ飬ʶ OWL ͱʾרʶһ SWRL ɡ껷ܡŽ𿵵ͨѼĿеҽϢICD9ICD10 ȣҽѧվеҽʶ39 ҽҩȣҽʶͼףӦϺֿҽϢ޹˾ҽ뻼߰ȫϵͳʹϵͳУǰ߻ʶͼпزʹõļءΣ
ֵ²⣬߿жΪƲͲ淶 Ӷٽҩĺԡ 

 

    ʶͼӦҽƾĿǰоȵ㡣ǣʵӦУҪ⣺һȱ걸ȫҽѧʶͼףҽƾߵĿɿԡǰߣĿǰʶͼʵӦõҽƾϵͳҪض͵ľߣ޷㷺Ӧã IBM Watson Health ҪͰ֢ľ֧֣ھ޴ʶǿΪٴҽʦṩٵġԻѭ֤Ʒںߣҽƾֱӹϵʹߵ彡⣬˹ܽҽƾ߶Խ׼ȷԺͿɿиߵҪֽ׶Σʶͼ׵ҽƾֻǰֺ֧͸Ľɫ 

 

3 սоչ 


    
ʶͼʶںʶͼ׵Ǿ߱ǿ崦뿪Żҽѧԣרҵԡ淶ԡԵص㣬Դҽѧʵ䡢ҽѧ׼ӲԴȡݣڿƽҵУʶҵֵ֧
ҽѧʶͼ׵оƽݵܴϲҽѧӦáҽѧʶͼǴҽѧĽϣ Ϊʶͼ׺ʹܵǰ⡣

 

1˹ 

 

    ˹,رѧϰѾӾʶ𡢻Խ˴ͳ㷨,ҽѧеʶںȷоDZдھӵǿѧϰѧϰŷḻݴʶ,չ ,ΪģʶͼӦó

 

2ӶԴԣ 

 

    ͵ӲҽݵıըȻЩ֡⡢ȷ涼ڽϴ졣еоɹ༯ضݼϣͨ㷨׼ȷʵ͡ࡢչԲ⣬ͬʱʶáʵҲдһоҽѧʶͼ׳Ϊǰоȵ㣬 ҹо߸ӦϢơ

 

3ڰ

 

    ڰƲЧΪĸҪ䡣ڰƽ̨ʶлϣܹ ޷ʶĴʶͼ׵ܡ39 ҽҩʴרҵʿ߽⣻A+ҽٿеҩϢҽѧо߹ͬ༭ɡһ棬ͱ֤ύҲʼѧߵĹ ע

 

4ӻ 

 

    ʶͼ׿ӻֱ۵˽Ĺҽѧʶͼ׿ӻվҽ˵ѵʶչַܹϽҽܹ ʶͼ׵Ķ̬ϡ 

 

4  

 

    ҽϢķչҽѧһĻ档ҽʶͼףԴӺҽʶЧضӦãԵҽҵŸҪ壬ҲǺܶҵооȵ㡣Ĵҽʶͼ׵ĹӦýǶȣҽʶͼ׵
мӦãܽĿǰҽʶͼٵҪ սδоչ 

 

    ҽѧʶͼ׽ʶͼҽѧʶнϣƽҽѧݵԶܻΪҽҵµķչȻĿǰҽʶͼ׵о˺ܶijԣܵ˵ƺ룬ҪһоܹΪҽʶͼڹڵоṩһЩ

΢ɨһɨ˽ࣺ 

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