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    <dcat:Catalog>
        <dcat:dataset>
            <dcat:Dataset>
                <dct:description xml:lang="kr">1. 구분: 건강보험, 의료급여<br/>2. 진료년도: 2020년~2024년<br/>3. 발췌기준<br/> - 진료일 기준<br/> - 2025년 6월 지급분까지 반영<br/> - 진료건수는 연내 중복을 제외한 실제 건수<br/> - 연령은 환자의 진료시점 연도 말 만 나이 기준<br/>4. 주상병코드:  글자 수 제한으로 인해 zip파일 내 데이터설명 참고<br/><br/>※ 개인정보보호를 위해 '5' 미만 값은 비식별화하여 제공합니다. '계' 값으로 유추가 가능한 경우 '계'값을 포함하여 비식별화합니다.<br/>※ 질병통계는 요양기관에서 환자 진료 중 진단명이 확정되지 않은 상태에서의 호소, 증세 등에 따라 일차 진단명을 부여하고 청구한 내역 중 주진단명 기준으로 발췌한 것이므로 최종 확정 된 질병과는 다를 수 있습니다.<br/>※ 민원인의 공공데이터 제공 신청에 따라 발췌 및 구성된 데이터이며 본 데이터와 무관한 건강보험제도, 개인의 자격, 징수, 급여, 장기요양 관련 문의는 공단 대표번호(1577-1000)로 하시기 바랍니다.</dct:description>
                <dct:description xml:lang="en">1. Category: Health Insurance, Medical Aid 2. Treatment Year: 2020-2024 3. Excerpt Criteria - Based on treatment date - Reflects payments made up to June 2025 - The number of treatments is the actual number excluding duplicates within the year - Age is based on the patient's age at the end of the year of treatment 4. Main disease code: Please refer to the data description in the zip file due to character limit ※ To protect personal information, values less than '5' are provided in an anonymized form. If it can be inferred from the 'Total' value, the 'Total' value is included to anonymize. ※ Disease statistics are extracted based on the main diagnosis among the claims made after assigning a primary diagnosis based on complaints, symptoms, etc. when the diagnosis has not been confirmed during patient treatment at a medical institution, so they may differ from the final confirmed disease. ※ This data was extracted and organized based on the public data provision request of the complainant. For inquiries unrelated to this data regarding the health insurance schema, individual qualifications, collection, benefits, and long-term care, please contact the corporation's main number (1577-1000).</dct:description>
                <dct:title xml:lang="kr">국민건강보험공단_특정 신경계질환 관련 상병코드를 진단받은 환자 수</dct:title>
                <dct:title xml:lang="en">National Health Insurance Corporation_Number of patients diagnosed with a specific neurological disease code</dct:title>
                <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-03-10</dct:issued>
                <dct:modified rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-03-10</dct:modified>
                <dct:publisher>
                    <foaf:Organization>
                        <foaf:name>국민건강보험공단</foaf:name>
                        
                    </foaf:Organization>
                </dct:publisher>
                <dcat:contactPoint>
                    <vcard:Organization>
                        <vcard:organization-unit>빅데이터운영실</vcard:organization-unit>
                        <vcard:hasTelephone rdf:resource="033-736-3468"/>
                    </vcard:Organization>
                </dcat:contactPoint>
                <dct:conformsTo ></dct:conformsTo>
                <dcat:theme>사회복지 - 보건의료</dcat:theme>
                <dcat:keyword xml:lang="kr">연도별,성별,연령군별,환자 수,신경계질환</dcat:keyword>
                <dcat:keyword xml:lang="en">By year,gender,By age group,Number of patients,nervous system diseases</dcat:keyword>
                <dct:rights>이용허락범위 제한 없음</dct:rights>
                <dct:accrualPeriodicity>수시</dct:accrualPeriodicity>
                
                <dcat:landingPage rdf:resource="https://www.data.go.kr/data/15157587/fileData.do"/>
                <dcat:distribution>
                    <dcat:Distribution>
                        <dct:accessURL ></dct:accessURL>
                        <dcat:description></dcat:description>
                        <dcat:format>zip</dcat:format>
                        <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-03-10</dct:issued>
                        <dcat:title>국민건강보험공단_특정 신경계질환 관련 상병코드를 진단받은 환자 수_20241231</dcat:title>
                    </dcat:Distribution>
                </dcat:distribution>
                <dct:spatial></dct:spatial>
                <dct:temporal></dct:temporal>
            </dcat:Dataset>
        </dcat:dataset>

        
    </dcat:Catalog>
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