Multi-granularity spark super trust fuzzy method applied to large-scale brain medical record segmentation

Multi-granularity spark super trust fuzzy method applied to large-scale brain medical record segmentation

(12) M J 4M 9W*#TrI Vf EP $il (19) P d PIT, R. ~(10) M WA/ NV4:Y (43) d VTWO 2021/082444 A1 2021 4 5 ) 6 (06.05.2021) WIPO T PWC0T (5 1) og-- J J(DING, Jialu); +l1 TA NMM 1 P G16H 10/60 (2018.01) 9 , Jiangsu 226019 (CN)o .E It' (WANG, (21) IgTh$-$ : PCT/CN2020/094104 Jiehua); + l I N d 1il ) N...

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Hauptverfasser: DING, Weiping, FENG, Zhihao, WANG, Jiehua, DING, Jialu, HU, Bin, DING, Shuairong, CHEN, Senbo, REN, Longjie, LI, Ming, WAN, Jie, ZHAO, Lili, SUN, Ying
Format: Patent
Sprache:eng
Schlagworte:
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Zusammenfassung:(12) M J 4M 9W*#TrI Vf EP $il (19) P d PIT, R. ~(10) M WA/ NV4:Y (43) d VTWO 2021/082444 A1 2021 4 5 ) 6 (06.05.2021) WIPO T PWC0T (5 1) og-- J J(DING, Jialu); +l1 TA NMM 1 P G16H 10/60 (2018.01) 9 , Jiangsu 226019 (CN)o .E It' (WANG, (21) IgTh$-$ : PCT/CN2020/094104 Jiehua); + l I N d 1il ) N M 9 , Jiangsu 226019 (CN) o tf]l(HU,Bin); +[ (22) Ml8 i H: 2020 6 )] 3 H (03.06.2020) fl T @ M LM ) I I E N YG 9 l, Jiangsu 226019 (25) $ iFi : (CN)o 0tt* (CHEN, Senbo); + flV$l4 _,_J)Ia ns 22N 60, Jiangsu 226019 (CN)o 7TA (26)Qflii f : (WAN, Jie); + Il9dt) X N M 9 (30)VLR$R : Jiangsu226019 (CN)o kXITi(ZiAO,Lii); +[ 201911030948.0 2019 4 10)28H (28.10.2019) CN fl inMdI u 2 2 609 , Jiangsu 226019 (71) $i :l5Mt4 (NANTONG UNIVERSITY) [CN/ (CN) o IJ (SUN,Ying); + Il W M T CN]; + l T I N M d i )Il X IA N M )IZ X A N M 9 9, Jiangsu 226019 (CN)o 3 t 99, Jiangsu 226019 (CN)o (FENG, Zhihao); + [I M iliM ) IIEX N 9t, Jiangsu 226019 (CN)o kt(LI,Ming); +P (72) &R ,: T -|V-7(DING, Weiping); + PId V$T IIMdTlTffIMid )l9 t N M9 Jiangsu 226019 i11)IlZAN M99,Jiangsu226019 (CN)o T (CN)o fiA (REN,Longjie); +[I3lW% Md (54) Title: MULTI-GRANULATION SPARK-BASED SUPER-TRUST FUZZY METHOD FOR LARGE-SCALE BRAIN MEDI CAL RECORD SEGMENTATION -=(54)&TP t rrZr Fti n fl !-+tiSpark ~fl JMftM)t4 AA BB CC DD AA Divide a large-scale brain medical record data attribute set into multi-granulation evolutionary SBB Design a multi-granulation Spark-based super-trust model to construct trust relations between Ittt~9 - - l1F7& U i~~uq~ vFl jJ~Tsuper elitists CC Adjustiamulti-granulation Spark-based super-trust center threshold H DID Execute supe elitist balance dynamicadustment strategytoenhance the optimal balanced ~k~] cnsistencofmulti-granulationsubopulaions t~i~san. t~ F Store abrain medical recorddiagnosis caracteristic set on aSpark cloud platform Tonassess the brainmeica record attriutecharacteristic segmentation precision or not? EE FF GG GG Obtain the optimal large-scale brain medical record characteristic set HH Yes 11 No 1I) (57) Abstract: A multi-granulation Spark-based super-trust fuzzy method for large-scale brain medical record segmentation, compris ing: first, segmenting a large-scale brain medical record data attribute set into different multi-granulation evolutionary subpopulations (Granu-populationi) on a Spark cloud platform; designing a multi-granulation Spark-based super-trust model to construct trust between different super elitists in multi-granulation populations; adjusting a multi-gr