ࡱ> FIRoot Entry.JFileHeaderUDocInfoIBodyText ཾG!"#$%&'()*+HTKLMNOPQRSV,eYZ[\]^_`abcdUghijklmnopstuvwxyz{|}~Root Entry6FileHeaderUDocInfoIBodyText mT -!"#$%&'()*+U/0123456789:;<=>?@ABCDEW,qYZ[\]^_`abcdr !"#$%&'()*+,-./0123456789:;<=>?@ACDEFGHJKLMNOPQRSTVWXZ[\]^_`abcdefghijklmnHwpSummaryInformation.BBinData @Y@YPrvImage mPrvTextBIN0001.OLE EBIN0002.WMF ASection0.h9BIN0003.OLE YbI. <X̸ 8 ̬| \ (ƨ\ 0 \ՐŴ  Development of an Ontology-based Controlled Natural Language for Medical Narratives Byung-Hyun Ha, Ph.D.*, Myeng-Ki Kim, D.D.S., Ph.D. , Hong-Gee Kim, Ph.D. , Jae-Il Lee, D.D.S., Ph.D. * Center for Healthcare Ontology Research and Development, Seoul 110-799, pepper@netopia.snu.ac.kr School of Dentistry, Seoul National University, Seoul 110-799, meeree@snu.ac.kr, hgkim@snu.ac.kr, jilee@snu.ac.kr Abstract: In nature, the majority of medical record comprises of free narrative text. However, medical narrative is still significant obstacle to develop effective electronic medical record. Current challenges for computerizing medical narratives are threefold: to fulfill the reusability of structured representation, to preserve the habitual practice of clinicians who have been familiar with paper-based charts, and to minimize the burden of data entry within acceptable range. Dealing with the above challenges, this study developed an ontology-based controlled natural language whic>GIF89atɻxxxkkk]]]PPPCCC555((( d`LH00`Hذ̘`H0|pdXL@`0H `H0`dHL`H0xp`XH@0d LȰ``HH00dLؘȀ`H0xp`XH@d0L `H0d`LH`H0|pdXL@0`$H`dHL00`HذȘdL0xp`XH@0` HdH0ȳ``HHdL0xp`XH@`0H Ը̰ĠऀؘpȈXxHp@h@d8`8X0xT0pH dxddxd`d`p`|``x`p``x`!,t H*\ȰÇ#JHŋ3jȱǏ CIɓ(S\ɲ˗0cʜIs%83͞?S΢?,tӤD>S(ONjʵץ>F:ԣGz+ְivDKWlݻxիlWMM̸ǐ9&jV/+UJ}[aEnI mdͻwx~k޸GhxU}enet(^ޜ|p]"q{(41Z؋DA&y\w Fz4訆jꊕrNdŪE骼VگvHyjlJ)E>J"g*i߮rץf *fSn2a\*}=ȧnu#Zn{cڷ% ( 'jLz.v})x+R!$j_2L+ [pV9-ǽa 'Ski~u\䓲mUƛΘ&[0)GZK_Ѕ-͒n2Fh4IgjӀo l/Mu&[Ll4Np >h\Wfe4Z{4"޷^Ez¸dO״Ybc\s'Ѝϛ[I(䆛踉"NgkyO{^S #jMKc='pڰ{H ƌU^8wˮUpFg{nvӎħ;%Oʒُ m`d zP> |T:Ro:M TAmP?ϊ7 \TLGFv+^MM,vI KoxB_*X EBe4ko5yӗb:0L@(!˘QK4XVhQ6hFebH̤-L2|#<.l L` @4ӻ'XKd֪|Z>nΈQ+vǡ5q`GFŕEQfN 9i5)B[TDejcvJ„oeK;f2ґ\⥐zDɍYO2䵄4N\RO_.+>gkʧ@7Ї)%G>WbjDc71JҒ(MJWҖ ;;;`a``a`0 h  0 X d p| Y ] 2002D 6 20| | $ 8:08:09  Administrator5, 7, 6, 3020 6@n@m@WMhQL~,V&-6B/${C,jVXڋTO^, mēJ̶$ ")/oyΛ7uVHnj{6K}֌GyJ&j4 cp }p+Xţx<0S K,@d W ܆AFOCpt7K3H<#!r , k^9`"TCDQ|˥xTwm9'.˼IZZ1yu6gNN<O#xÉjD<kP q֛w.l;U:b^S-Ec?R<B)Cw;hW[(AGe9]';ſ(*Kҥ$ھYuk5.?[:䚭k/94>FN{sqH>Vi=oܻ4Mѡ5Z[\=9"aOj#2ő$ = ?~A=uֲ8| 7MH6Iikڼx-Ri{s!-m+:,KGZW[$]eq^Ó; ĝiij0L؞%a!6hnD f.*,}/J0Y~b A nk<ސAw0Ss~/!řÉ(ba8]X&DTHWP Document FileW xTE@ $ B6&H`+$1 !IL8 !*Ȍһ ̮> y8EDEЁ[MYSNsSR>'C[7MgܳhxdvbUhۅ Tu ' ,DǡRX49LRr,['،ƒx],Iv}~)zJA;TbM;˔x])Y56hA\{DXN\'uS퍅8{ ooHA[)Tu_ؖcH=!<.kdѤY*-i>}6YdeԺ4q)&Z6? 6Ǔh.H%a]a1lG(g(; 5`VpaUE]]ߤi6~̓YY^|F|ewl+J_UBmkt ='.tO>;K}gTܓVY2~{h֢ތ  3`hRwpEo6f>(z8>wK ] kÁ'=fq 1CL/S~حE,9Ys#9)ӊWY˷dcy5my;Bz53y1xWf<4`GwJ (s2 `t`0H<:.Qs-s=DdD\7QNYgz _LĔU{"87s|#ٖa"9Q= B~7VYZ *S(ݞGqOk.O6,@3Ҹ2 pFOv0׿@J_8_K6 XdX ޜk?1?M0Z*Ey~}^P*3o9Lx{ y{$wgD(nKA M9L;w2P6 <=?Cه[0+„UQ-D\#8o(rRLˍcS&sR 0'6i}AqPf(;t0rX?>z d%RsA eg tH$1^st',m^{pWD!S}"l^۵<8hu=/>\˹l۷?lY|K eaw?w01,~}7ۥg1 wFD58ۻ8""Ro tjG8eW 0 "&4Rk+Ju1l7Qle@م:8l?yޝ~Am4Es*Rߍ% bP/։t:] K,w~k0XnZe@-Y):;A,:NBi9p;t'j^jAb62u mV>I--4mQ G6fӕjn1v4жͱ緉uO&5>HWuftacqX/Di|wqѸO+t\ԧqa5.D\4+.&Cy7ر`yicqQ*ƫL̗xW/ ";z,5OKrGTWҾ/V9tOG D|N70'ɔ%Y玍>>M>3}B3}*FH &=l;]mWpS(w-\[E 07рZc;`r4ƭ0GC9-9ڎhlh; L~cXZYײ|[hg!Ga5t}kFclshSHmY$(o8CyUĪ< sf1qqNr8h.OatN-owN] nomx/T="@b6ܚ:o%vh͈+G)\+_^wG~h!!zWFC[rSCl/~6&zQtf!&2&QrbUK13b1udn57u]?ds{TYYH,x@L.b++>ё#dT?9Ǔs>)OSvwո#L6jYG+:y6 * ,m76 \^3vqW7fp:nbCE׎XtUE֎03'y@)VnVJEhJ}w>Dr{ruԜLwlу[%ZkҎ\EsZw|yzqػS.#>в|SC7,bgum¾4|^!4oƯ<`$da)K]FN.O}PԛP.G/_CƯJ<6׼:kupts{),VNe݆ͫ8G33h^]iO,7CZf\K݁a~Oz0gw;9'z/;Qq ROv{pc rq4l)&Zt9O6i.H#!Ci,4PkZ2?~lo%AWÂua!s*Q)LߕmPo9Va|TUy"BkZ"d6%cÿ^4w< }վp;AZvg]dƨ =w)-cWdWoGm3w,Zu8f%o-⻇;B ȝo"(-;n2]D=m;7y ] EBQmpuϋAnߗU>{"Ч4}%G<_"VׂW6N!"y6ATЬ9h!4ＵAcQ""9OLx1үPtwpWDdyrg;ez߮xx5~Ac or.(1[2bDۧ޽q˜ ǰ42c∈wVi}#+пz8H'5S#( :oQle NCg 6/[c}76 SՂa L5-XߋY 4p㉴|> o7`q1km'> v}'Bb1Tq=; 2:w>"D<$Elnb&߉=@n@^p;@vT6`O\Z~B:!(555jFƋ8fɐR6&60Z&X;d&Cr,d|]9R* 2_~Nd\#@g)峲|FR@ɠ@? 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However, medical narrative is still significant obstacle to develop effective electronic medical record. Current challenges for computerizing medical narratives are threefold: to fulfill the reusability of structured representation, to preserve the habitual practice of clinicians who have been familiar with paper-based charts, and to minimize the burden of data entry within acceptable range. 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