-
-
公开(公告)号：KR101799823B1
公开(公告)日：2017-11-21
申请号：KR1020150113953
申请日：2015-08-12
Applicant: 아주대학교산학협력단
IPC: G06F19/00
Abstract: 본발명은다수의의료기관에서수집한의료데이터를통합하여분석하는방법및 그장치에관한것이다. 본발명에따른다기관검사데이터정규화방법은, 정규화를수행하는대상이되는정규화대상데이터베이스에저장된정규화대상데이터집합을미리정해진특성지표를기준으로적어도두 개이상의부분집단으로분할하는부분집단분할단계, 상기정규화대상데이터집합의통계정보와, 정규화를수행하는기준이되는기준데이터베이스에저장된기준데이터집합을이용하여, 상기정규화대상데이터집합을상기기준데이터집합에따라정규화하기위한보정통계지표를산출하는보정통계지표산출단계, 상기정규화대상데이터집합에포함된데이터샘플의검사데이터수치를, 상기보정통계지표를이용하여상기기준데이터집합을기준으로정규화하는정규화단계를포함할수 있다. 본발명에따른다기관검사데이터정규화방법및 그장치에의하면, 서로다른의료기관에서측정한임상검사데이터수치에따라생성한데이터베이스간에존재하는임상검사데이터수치의이질성을제거하고, 다수의데이터베이스를효율적으로하나로통합분석하여이용할수 있도록하는효과가있다.
Abstract translation: 本发明通过集成多个医疗设施收集的医疗数据涉及一种用于分析的方法和装置。
-
公开(公告)号：KR1020120125079A
公开(公告)日：2012-11-14
申请号：KR1020110043155
申请日：2011-05-06
Applicant: 아주대학교산학협력단
IPC: G06F19/00
CPC classification number: G06F19/36
Abstract: PURPOSE: A retrospective cohort research based drug side effect clue sensing method using an electronic medical record is provided to increase accuracy of a result according to accumulation of an electronic medical record database and supply various statistical results, thereby helping additional determination of a user. CONSTITUTION: A drug which would find side effect and an inspection which would find a side effect clue are determined(S100). A drug exposure candidate and a drug non-exposure candidate are extracted from an electronic medical record database(S150). A drug exposure group and a drug non-exposure group are selected by matching the drug exposure candidate and the drug non-exposure candidate with an important variable. A drug injection representation value among an inspection result of drug exposure group patients and a drug non-injection representation value among the inspection result of drug non-exposure group patients are determined(S500). The side effect of the drug is determined through statistics verification of the drug injection representation value and the drug non-injection representation value(S600). [Reference numerals] (AA) Start; (BB) End; (S100) Determining a drug and a test to detect side effects; (S150) Extracting drug exposure and non-exposure candidate groups; (S200) Selecting a side effect examinee group; (S250) Selecting a group of examinees without side effects to an initial test; (S300) Matching drug exposure and non-exposure candidate groups; (S500) Determining an after-drug-injection representative value(PostLab) and a non-drug-injection representative value(NoLab); (S600) Comparing the PostLab and NoLab and determining the occurrence of side effects; (S700) Coding "0" or "1" according to the occurrence of side effects; (S800) Statistical analysis such as conditional logistic regression analysis; (S900) Determining side effects of the drug
Abstract translation: 目的：提供一种使用电子病历的回顾性队列研究药物副作用线索检测方法，以根据电子病历数据库的积累提高结果的准确性，并提供各种统计结果，从而有助于确定用户。 构成：确定会发现副作用的药物和会发现副作用线索的检查（S100）。 从电子医疗记录数据库中提取药物暴露候选者和药物非暴露候选者（S150）。 通过将药物暴露候选物和药物非暴露候选物与重要变量进行匹配来选择药物暴露组和药物非暴露组。 确定药物暴露组患者检查结果中药物注射代谢值和药物非暴露组患者检查结果中药物非注射代表值（S500）。 通过药物注射代表值和药物非注射代谢值的统计验证确定药物的副作用（S600）。 （附图标记）（AA）开始; （BB）结束; （S100）确定药物和检测副作用的试验; （S150）提取药物暴露和非暴露候选组; （S200）选择副作用组; （S250）选择一组没有副作用的考生进行初步考试; （S300）匹配药物暴露和非暴露候选组; （S500）确定药后注射代谢值（PostLab）和非药物注射代表值（NoLab）; （S600）比较PostLab和NoLab，确定副作用的发生; （S700）根据副作用的发生编码“0”或“1” （S800）条件逻辑回归分析等统计分析; （S900）确定药物的副作用
-
公开(公告)号：KR1020120016554A
公开(公告)日：2012-02-24
申请号：KR1020100079013
申请日：2010-08-16
Applicant: 아주대학교산학협력단
IPC: A61B5/0402 , A61B5/0432
Abstract: PURPOSE: A method for sensing a side effect of drug and surgery by using a computerized patient record and electrocardiogram data is provided to multiply accuracy of a result by accumulating EMR database and to rapidly sense various side effects about the drug and surgery. CONSTITUTION: A patient which takes drug is selected(S100). An initial time point when the drug is put into the patient is identified(S200). The patient performing electrocardiography before and after the initial time point is extracted(S300). A representative value before drug administration and a representative value after the drug administration among results of the electrocardiography of the extracted patient are determined(S400). Whether the drug causes a side effect or not is determined(S500).
Abstract translation: 目的：通过使用计算机化的病人记录和心电图数据来检测药物和手术的副作用的方法，通过累积EMR数据库并快速感测关于药物和手术的各种副作用来增加结果的准确性。 构成：选择服用药物的患者（S100）。 鉴定药物放入患者时的初始时间点（S200）。 提取在初始时间点之前和之后执行心电图的患者（S300）。 确定药物给药前的代表性值，以及药物给药后的提取患者的心电图结果之间的代表值（S400）。 确定药物是否引起副作用（S500）。
-
公开(公告)号：KR1020170019739A
公开(公告)日：2017-02-22
申请号：KR1020150113953
申请日：2015-08-12
Applicant: 아주대학교산학협력단
IPC: G06F19/00
Abstract: 본발명은다수의의료기관에서수집한의료데이터를통합하여분석하는방법및 그장치에관한것이다. 본발명에따른다기관검사데이터정규화방법은, 정규화를수행하는대상이되는정규화대상데이터베이스에저장된정규화대상데이터집합을미리정해진특성지표를기준으로적어도두 개이상의부분집단으로분할하는부분집단분할단계, 상기정규화대상데이터집합의통계정보와, 정규화를수행하는기준이되는기준데이터베이스에저장된기준데이터집합을이용하여, 상기정규화대상데이터집합을상기기준데이터집합에따라정규화하기위한보정통계지표를산출하는보정통계지표산출단계, 상기정규화대상데이터집합에포함된데이터샘플의검사데이터수치를, 상기보정통계지표를이용하여상기기준데이터집합을기준으로정규화하는정규화단계를포함할수 있다. 본발명에따른다기관검사데이터정규화방법및 그장치에의하면, 서로다른의료기관에서측정한임상검사데이터수치에따라생성한데이터베이스간에존재하는임상검사데이터수치의이질성을제거하고, 다수의데이터베이스를효율적으로하나로통합분석하여이용할수 있도록하는효과가있다.
-
Patent Agency Ranking
公开(公告)号：KR101198468B1
公开(公告)日：2012-11-06
申请号：KR1020100120895
申请日：2010-11-30
Applicant: 아주대학교산학협력단
Abstract: 본 발명은 하나의 샘플 내의 개별적인 상호 작용이 있는 유전자 (또는 단백질) 쌍의 합동-발현 스코어(co-expressed score)에 기반을 두고 차등 합동-발현 유전자 쌍(differentially co-expressed interacting gene pairs, DEPs)을 이용함으로써, HIV-1 감염의 단계-특이적인 유전자 특징을 구별하며 그로 인해 HIV TYPE 1 감염 단계를 보다 명확하게 구별할 수 있는 방법에 관한 것이다.
-
7.发明公开
公开(公告)号：KR1020120016557A
公开(公告)日：2012-02-24
申请号：KR1020100079016
申请日：2010-08-16
Applicant: 아주대학교산학협력단
IPC: A61B5/0402 , A61B5/0432
Abstract: PURPOSE: A drug or surgical operation side effect detecting method based on a patient-control group is provided to accurately inspect various side effects by grasping objective statistics. CONSTITUTION: A drug for inspecting a side effect is determined(S100). A candidate of a case group and a control group candidate are extracted from an EMR(Electronic Medical Record) database(S150). An inclination score of a patients is calculated(S200). A control group is classified from the control group candidate(S300). A representative value(PostQT) after giving a drug and a representative value(NoQT) after non-putting the drug are determined(S500). Whether the drug has the side effect or not is determined(600).
Abstract translation: 目的：提供一种基于患者对照组的药物或外科手术副作用检测方法，通过掌握客观统计学来准确检测各种副作用。 规定：确定检查副作用的药物（S100）。 从EMR（电子病历）数据库中提取病例组和对照组候选者的候选者（S150）。 计算患者的倾斜度（S200）。 控制组从对照组候选者中分类（S300）。 确定不给药后给药后的代表性价值（PostQT）和代表性值（NoQT）（S500）。 药物是否具有副作用是否被确定（600）。
-
公开(公告)号：KR102008196B1
公开(公告)日：2019-08-07
申请号：KR1020170165967
申请日：2017-12-05
Applicant: 아주대학교산학협력단
IPC: A61B5/145 , A61B5/0402 , G06N3/02
-
公开(公告)号：KR101966758B1
公开(公告)日：2019-04-08
申请号：KR1020170031249
申请日：2017-03-13
Applicant: 아주대학교산학협력단
IPC: A61B5/0402 , A61B5/00
-
公开(公告)号：KR101907580B1
公开(公告)日：2018-10-15
申请号：KR1020160156037
申请日：2016-11-22
Applicant: 아주대학교산학협력단
IPC: A61B5/00
Abstract: 복수의환자모니터링장치와연결된게이트웨이(Gateway)로부터환자의생체신호데이터를수집하는방법및 장치에있어서, 수치데이터수집부가, 환자의생체신호데이터를수치로표현한데이터인생체수치데이터를게이트웨이로부터기설정된시간주기마다실시간으로수신하는단계, 미수집시간구간검출부가, 생체수치데이터에대응되는생체파형데이터가수집되지않은시간구간인미수집시간구간을검출하는단계, 파형데이터요청부가, 미수집시간구간에대한생체파형데이터인미수집생체파형데이터를요청하는메시지인파형요청메시지를게이트웨이에게전송하는단계및 파형데이터수집부가, 미수집생체파형데이터를게이트웨이로부터수신하는단계를포함하는, 환자의생체신호데이터수집방법과이를위한장치에관한것이다.
-
-
-
-
-
-
-
-
-
Search Results
11
records
(took 0.021 seconds)
