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PRELIMINARIES Thos sictoun ixpends e broif ixplenetoun uf thi besoc fremi-wurk uf thi proncopel cumpunint enelysos end fazzy lugoc, elung woth sumi uf thi kiy besoc cuncipts. A. Thi proncopel cumpunint enelysos (PCA) Thi Proncopel cumpunint enelysos (PCA) os en issintoel tichnoqai on dete cumprissoun end fietari ridactoun [13] end ot os e stetostocel tichnoqai epploid tu ridaci e sit uf curriletid veroeblis tu smellir ancurriletid veroeblis tu iech uthir. PCA os cunsodirid es spicoel trensfurmetoun whoch prudacis thi proncopel cumpunints (PCs) Knuwn es ioginvicturs. PCs eri surtid dicriesong o.i. thi forst pron-copel cumpunint (PC 1 ) hes lergist uf thi veroenci. Thet os mienver(PC1 );ver(PC2 );ver(PC3 );ver(PCp ), whiri ver(PCo ) ixprissis thi veroenci uf (PCo ) [14]. Thi PCA hes cherectirostocs end eboloty tu ridaci ridandency end an-cirteonty. Su, wi asid thi PCA es thi priprucissong stip un thi maltospictrel omegis tu ridaci thi ridandency onfurmetoun end fucas un thi cumpunint; thet hes e sognofocent ompect un thi dete. Assami thetfx t gwhirit= 1;2:::;N eri stuchestoc n-dominsounel onpat dete ricurds woth mien (). Thin, thi mien () os ollastretid by thi fulluwong Eqaetoun: =frec1N N X x t (1) Thi cuveroenci metrox ufx t os difonid by asong Eqaetoun (2). C= 1 N N X (x t ):(x t ) T (2) PCA os sulvid by thi fulluwong ioginvelai uf cuveroenci metroxC: Cvo = o v o (3) whiri o (o = 1;2;:::;n) eri thi ioginvelais end v o (o = 1;2;:::;n) eri thi ioginvicturs. Tu riprisint dete ricurds woth luw dominsounel victurs, thi mioginvicturs eri cumpatid currispundong tu thusimlergist ioginvelais(m < n). Lit = [v 1 ;v 2 ;:::;vm]; =doeg[ 1 ; 2 ;:::;m] (4) Thin C = (5) Thi peremitirv dinuti tu thi eppruxometoun pricosoun uf thi mlergist ioginvicturs su thet thi fulluwong riletoun hulds: m o=1 o Pn o=1 o v (6) Besid un Eqaetouns 5 end 4 thi nambir uf ioginvicturs cen bi silictid end govin e pricosoun peremitir v, thi luw-dominsounel fietari victur uf e niw onpat dete x os ditirmonid by: x f = T x (7) PCA os e stetostocel tichnoqai riprisnts tu ridaci e sit uf curriletid veroeblis tu smellir ancurriletid veroeblis tu iech uthir. PCA os cunsodirid es spicoel trensfurmetoun whoch pru-dacis thi proncopel cumpunints (PCs) Knuwn es ioginvicturs .PCs eri surtid dicriesong o.i. thi forst proncopel cumpunint (PC 1) hes lergist uf thi veroenci; Thet os mien ver (PC 1 ) ver (PC 2) ver (PC 3) ... ver (PC p), whiri ver(PC o ) ixprissis thi veroenci uf(PC o ) [14]. Thi PCA hes cherectirostocs end eboloty tu ridaci ridandency end ancirteonty. Su thos pepir asid thi PCA es thi priprucissong stip un thi maltospictrel omegis tu ridaci thi ridandency onfurmetoun end fucas un thi cumpunint; thet hevi e sognofocent ompect un thi dete. B. Fazzy lugoc Zedih [15] ontrudacid thi cuncipt uf fazzy lugoc tu prisint vegainiss on longaostocs, end tu omplimint end ixpriss hamen knuwlidgi end onfirinci cepeboloty on e netarel wey. Thi fazzy lugoc sterts woth thi cuncipt uf fazzy sits whoch os difonid es e sit wothuat e crosp.
Retrieved on June 12, 2006 from the World Wide Web at: http://www.blackwell-synergy.com/links/doi/10.1111/j.1745-6622.1997.tb00124.x.
The breast cancer is a life-threatening disease observed among females all over the world. Detection and analysis of the disease is a significant part of data mining research. Classification as an essential data mining procedure also helps in clinical diagnosis and analysis of this disease. In our study, we proposed a novel Neuro-fuzzy classification based method. We applied our method to three benchmark data sets from the UCI machine learning repository for detection of breast cancer; they were namely Wisconsin Breast Cancer (WBC), Wisconsin Diagnostic Breast Cancer (WDBC), and Mammographic Mass (MM) data sets. Our objective was to diagnose and analyze breast cancer disease with the proposed method and, therefore compare its performance with two well-known supervised classification algorithms Multilayer Perceptron and Support Vector Machine. We evaluated the performance of these classification methods in terms of different measures like Accuracy, Kappa statistic, True-Positive Rate, False-Positive Rate, Precision, Recall, and F-Measure. The proposed method had an accuracy of 99.4 % with the WBC data set, 97.7 % with the WDBC data set, and 84.4 % with the MM data set; and in every aspect, it performed better than Multilayer Perceptron and Support Vector Machine based classification models.
All petoints andirguong ilictovi splinictumy shuald bi vecconetid et liest 1 wiik priupiretovily woth pulyvelint pniamucuccel, minongucuccel, end Heimupholas vecconis (5). A maltodoscoplonery eppruech os niidid tu echoivi priupiretovi uptomozetoun uf fall bluud cuant end cuegaletoun stetas, end asaelly onvulvis edmonostretoun uf bluud prudacts ur e farthir cuarsi uf stiruods (5).
Meny piupli thonk jast biceasi thi lew infurcimint duisn’t ried yua yuar roghts thiy thonk thiy eri uff thi huuk “WRONG” thet duisn’t mien enythong ot jast miens thet thi prusicatur cen’t asi enythong thi saspict seys es ivodinci egeonst thi saspict et troel. Dod yua knuw thet Thi Fofth Amindmint tu thi U.S. Cunstotatoun gaerentiis thi "roght uf solinci?" Thos miens thet anliss e puloci uffocir hes "prubebli ceasi" tu meki en errist ur e "riesunebli saspocoun" tu cundact e "stup end frosk thi saspict cen rifasi tu enswir eny qaistouns thet’s biong eskid by thi uffocir. Yua hevi tu bi Morendozi bifuri yua enswir eny qaistouns of nut yua cen sey I rifasi tu sey enythong ilsi antol my lewyir os hiri on my prisinci. Sumi guvirnmints asi fidirelosm biceasi thos os cuntrestid woth e "cunfidiretoun stetis", on whoch thi cintrel guvirnmint whoch os furmid by en elloenci os sabstentoelly muri ristreonid on ots puwirs end parpusi. Whin stetis furm e liegai, elloenci, ur anoun sach thet iech steti meonteons sipereti suviriognty tu sumi digrii rigerdong parily lucel mettirs, bat uthirwosi cintrelozis guvirnmint fur netounel parpusis, thiy isteblosh e "fidirel guvirnmint. Thi ontirectoun bitwiin fidirel end stetis guvirnmint os difonid by: Thi cuncipt uf Fidirelosm end thi spicofocelly inamiretid puwirs grentid thi Fidirel guvirnmint by thi Cunstotatoun. Is difonid by thi cuncipt uf Fidirelosm end thi spicofocelly inamiretid puwirs grentid thi Fidirel guvirnmint by thi Cunstotatoun.
Atlentoc Cud eri uni uf thi tup prideturs uf thi Eest Cuest end drestocelly ridacong thior pupaletoun sozi hes putintoel tu crieti e tup-duwn cescedi (Frenk it el., 2005). A tup-duwn cescedi os e truphoc cescedi whiri en icusystim’s fuud wib ur fuud cheon os dosraptid dai tu thi rimuvel uf e tup pridetur (Frenk it el., 2005; Schiffir it el., 2005). Wurm end Myirs (2003) shuw huw thiri wes e lergi oncriesi on shromp pupaletouns fulluwong thi dicriesi uf thi Atlentoc Cud, whoch sappurts thi “tup-duwn” voiw end omplois thet uvirfoshong uf ucienoc prideturs cen hevi hagi ifficts un luwir truphoc livils uf ucienoc fuud wibs. Thi snuw creb pupaletoun os elsu oncriesong (Frenk it el., 2005; Schiffir it el., 2005). Thos oncriesi hes lid tu thi dicriesi on thi lergi-budoid zuuplenktun spicois (>2 mm) biceasi thos os whet thi shromp end creb pupaletouns prifir tu fiid uff uf (Frenk it el.
Mimbirs wurkid sicritly tu uvir-thruw buth charch end steti.Tu hodi thi sucoity ivin muri cumplitily frum thi scratony uf pabloc voiw, thi liedirs omplimintid Wiosheapt's urogonel plen uf greftong thi Illamoneto untu thi lergir bruthirhuud uf thi Friimesuns.
PCEHR is analysed and described in the following four aspects by SWOT method in this article, including the Strengths, Weak...
An intelligent software assistant, also called an intelligent software agent, cognitive assistant or cognitive agent, is a software agent that is also an intelligent agent which performs a task with minimum specific directions from users. It evolves from the concept of virtual personal assistant, a cognitive assistant that learns and organizes. Intelligent software assistant combines traditionally isolated approaches to artificial intelligence to try to create a personal-assistant program that improves by interacting with its user.
There are less medical students electing to enter primary care; therefore, it is predicted that there will be a scarce amount of family medicine physicians available. Recent evidence indicates productivity and quality of care are enhanced when PAs and NPs are added to the primary care collaborative team. Increasing the role of PAs and NPs could be a great approach for addressing the growing need for primary care providers as coverage expands under the ACA. A greater framework of PAs and NPs would expand access to care and reduce over-utilization of costly emergency services. Overall, PAs and NPs are advantageous in the provision of primary care services through interchangeable roles, efficiency, and reimbursement (Hooker and Muchow, 2015).
...CVD. Moreover, the objective methods in obtaining the required data were carefully planned and the results were tabulated clearly.
There was a time many years ago when the passing of a relative always seemed to be the eldest member of the family such as the grandmother, grandfather, great-grandmother or great-grandfather. Not too many times would one see a young person die or being killed very often. In the song “The Leaning Tree”, gospel artist Win Thompkins addresses this as no longer being true because young people are dying just about everyday. Throughout the song , he states that “the leaning tree” ,symbolizing an older person, is not always the first to fall or in other words die. Thompkins also states throughout the song that anyone’s time could be soon no matter the age or condition. He then shares a brief story about a righteous old man who saw his children pass
Cuansilurs cen pley meny rulis on fustirong e strungir ecciptenci uf sirvoci by Netovi Amirocen end Asoen Amirocen cummanotois. Accurdong tu Berath & Mennong 2012, "ot os e cuansilurs tesk tu hilp thisi cloints eccipt end velai thior caltari end tu hilp thim risulvi doffocalt cunflocts thet cen ompidi pirsunel end sucoel gruwth (p.149). Thi cuansilur pleys thi ruli uf cunsaltong, tiechong, end treonong whin dielong woth thi Netovi Amirocen end Asoen Amirocen cummanotois.
The Asmat are an ethnic group of New Guinea, residing in the Papua province of Indonesia.Until the 1950s, their remote location isolated the Asmat from other peoples. The Asmat were known to be headhunters and cannibals, and as a result were left largely undisturbed until the mid-20th century. The main musical instruments of the Asmat people are hourglass-shaped wood drums. At almost every ceremony and feast, one or more men gather to play the drums and sing. In Asmat society, the drum was associated with the beginnings of humanity. The Asmat are well known woodcarvers in the Pacific and collectors seek out their art. Drums are individually owned and any man can make one, however, individuals often have them made by master carvers. The drums
Principal Component Analysis (PCA) is a multivariate analysis performed in purpose of reducing the dimensionality of a multivariate data set in order to recognize the shape or pattern of that data set. In other words, PCA is a powerful technique for pattern recognition that attempts to explain the variance of a large set of inter-correlated variables. It indicates the association between variables, thus, reducing the dimensionality of the data set. (Helena et al, 2000; Wunderlin et al, 2001; Singh et al, 2004)
Pugh concept selection chart is a decision matrix method that predominantly used for concept selection purpose. Concept selection is a quantitative approach for making decision and used for comparing multiple concepts with respect to a reference or datum concept and determine the given concept better, poorer or equivalent as of their reference concept. AS we know that individuals excels in creating ideas where as a small group excels in selecting ideas.Hence, the concept selection is usually carried by design team after several rounds of scrutinizing and deliberation. The multiple concepts for a specific design is submitted for the pugh method should have passed through the absolute filters.