• 제목/요약/키워드: reading diagnosis tool

검색결과 11건 처리시간 0.024초

장애 아동·청소년 독서역량 강화를 위한 진단 프로그램 개발 기초 연구 (A Pilot Study on Developing a Reading Competency Diagnosis Program to Strengthen the Reading Abilities of Disabled Children and Adolescents)

  • 황금숙;배희숙;윤성은;황정현
    • 정보관리학회지
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    • 제41권1호
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    • pp.1-30
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    • 2024
  • 본 연구의 목적은 장애 아동·청소년의 독서역량을 강화하기 위하여 진단도구 프로토타입을 개발하고 그 타당도 및 신뢰도를 분석함으로써 독서역량 진단프로그램 개발의 기초 자료를 제시하는 데에 있다. 본 연구는 문헌 및 사례 연구를 바탕으로 문항을 개발하고, 델파이 조사 및 실제 장애 아동·청소년을 대상으로 한 예비조사를 실시하고 분석하였다. 연구 결과, 표본 수가 적어 타당도와 신뢰도 분석에 한계는 있었으나 장애 아동·청소년의 독서역량 진단도구 프로토타입 개발과 함께 기초 데이터를 확보하였다. 향후 개발될 독서역량 진단프로그램은 장애유형별 특성, 빅데이터를 통한 데이터 수집 및 활용 방안, 진단 절차 및 진단 시 유의사항을 다양한 변인을 고려하여 웹·모바일로 확장하여 개발할 것을 제안하였다.

Diagnosing Reading Disorders based on Eye Movements during Natural Reading

  • Yongseok Yoo
    • Journal of information and communication convergence engineering
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    • 제21권4호
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    • pp.281-286
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    • 2023
  • Diagnosing reading disorders involves complex procedures to evaluate complex cognitive processes. For an accurate diagnosis, a series of tests and evaluations by human experts are required. In this study, we propose a quantitative tool to diagnose reading disorders based on natural reading behaviors using minimal human input. The eye movements of the third- and fourth-grade students were recorded while they read a text at their own pace. Seven machine learning models were used to evaluate the gaze patterns of the words in the presented text and classify the students as normal or having a reading disorder. The accuracy of the machine learning-based diagnosis was measured using the diagnosis by human experts as the ground truth. The highest accuracy of 0.8 was achieved by the support vector machine and random forest classifiers. This result demonstrated that machine learning-based automated diagnosis could substitute for the traditional diagnosis of reading disorders and enable large-scale screening for students at an early age.

국내 아동 및 청소년 난독증 진단을 위한 종합학습능력평가도구-읽기의 표준화 연구 (Standardization of the Comprehensive Learning Test-Reading for the Diagnosis of Dyslexia in Korean Children and Adolescents)

  • 유한익;정재석;이은경;강성희;박은희;최인욱
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제27권2호
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    • pp.109-118
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    • 2016
  • Objectives: The aim of this study was to develop the computerized Comprehensive Learning Test-Reading (CLT-R) to evaluate the cognitive processes and achievements related to their basic reading ability and identify dyslexia in children and adolescents in South Korea. We also obtained the normative data and evaluated the reliability and validity of the test. Methods: We developed the CLT-R, including the word attack/nonword decoding, paragraph reading, sound blending, nonword repetition, rapid automatized naming, letter-sound matching, visual attention, orthography awareness, and digit span tests, for the purpose of diagnosing dyslexia. We investigated the reliability and validity of the tests and gathered the normative data from 399 subjects (male 48.9%), aged 5-14 years, from the last grade in kindergarten to middle school, dwelling in Seoul and Gyeonggi Province, South Korea. Results: No statistical differences were observed between the means of the tests and retests of the CAT. The mean of the correlation coefficient of the test-retest scores was 0.85. According to the construct validity test calculated by principal constant analysis using the oblique rotation method, 4 factors explained 70.0% of the cumulative variances. In addition, the normative data were obtained for all of the CLT-R subtests. Conclusion: The computerized CLT-R can be used as a reliable and valid tool to evaluate the reading achievement and reading related cognitive process in Korean children and adolescents in schools, clinics, and research institutes.

PACS환경에서 디지털유방엑스선 영상 화질에 관한 연구 (The research on Full Field Digital Mammography Image Quality in PACS Environment)

  • 정재호
    • 대한디지털의료영상학회논문지
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    • 제16권2호
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    • pp.25-29
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    • 2014
  • The full-field digital mammography (FFDM), which has been known as a digital breast imaging system, carries out more outstanding performance than the screen-film mammography in overall image quality, skin & nipple, description of pectoral muscle and expression of micro-calcification. Thus, in this thesis, I perform experiments for both the enhancement of image quality and accurate estimation of the result in question, when detecting the very tiny-sized lesions in mammography. The image of digital breast X-rays is the important diagnostic tool for detecting early breast cancer and micro calcification lesion. The experiment of how much compression rate has an effect on the result of diagnosis in the case of microcalcification lesion, with JPEG2000 40:1 compression and over 50% enlargement led to obscure or definitely unacceptable diagnostic results is performed. And in another study of assessment of PSNR degree. I recognized the importance of standardized management system in mammography, where not to mention the accurate reading of the image has the most crucial role in diagnosis

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질감분석을 이용한 폐결핵의 자동진단 (Computer-Aided Diagnosis for Pulmonary Tuberculosis using Texture Features Analysis in Digital Chest Radiography)

  • 김대훈;고성진;강세식;김정훈;김창수
    • 한국콘텐츠학회논문지
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    • 제11권11호
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    • pp.185-193
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    • 2011
  • 결핵은 환자를 미리 발견하여 치료함으로서, 질병의 전파를 차단하여 새로운 감염자가 발생을 최소화하고, 결핵을 조기에 예방 및 진단하는 것이 중요하다. 그러므로 현재 의학에서는 디지털 의료영상을 활용하여 질병진단의 보조 수단으로서 컴퓨터자동진단시스템이 응용되고 있다. 본 연구에서 주성분 분석(PCA)과 질감분석(Texture features)의 알고리즘을 이용하여 결핵의 질병을 자동으로 판별 및 인식하였으며, 그 기준에 따라 디지털 흉부 방사선영상에서 컴퓨터자동진단의 실용화를 위한 선행연구를 하였다. 실험결과는 주성분분석을 이용한 병변 인식률은 전문의의 질병에 대한 판독률보다 낮게 나타났지만, 질감분석의 인식률은 전문의 판독결과보다 높은 병변 인식률을 나타내었다. 그러므로 제안하는 알고리즘을 활용한 컴퓨터자동진단시스템은 임상의사에게 부가적인 보조 수단으로서 예비판독 단계의 정보를 제공하여 질병의 조기진단 및 예방이 가능할 것으로 사료된다.

일측성 성대마비 환자 평가에서 Cepstral Peak Prominence의 유용성 (Usefulness of Cepstral Peak Prominence (CPP) in Unilateral Vocal Fold Paralysis Dysphonia Evaluation)

  • 이창윤;정희석;손희영
    • 대한후두음성언어의학회지
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    • 제28권2호
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    • pp.84-88
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    • 2017
  • Background and Objectives : The purpose of this study was to compare the usefulness of Cepstral peak prominence (CPP) with parameter of Multiple Dimensional Voice Program (MDVP) in evaluating unilateral vocal fold paraylsis patients with subjective voice impairment. Materials and Methods : From July 2014 to August 2016, 37 patients with unilateral vocal fold paralysis who had been diagnosed with unilateral vocal fold paralysis and had received two or more voice tests before and after the diagnosis were evaluated for maximum phonation time (MPT), MDVP and CPP. Respectively. Voice tests were performed with short vowel /a/ and paragraph reading. Results : The CPP-a (CPP with vowel /a/) and CPP-s (CPP with paragraph reading) of the Cepstrum were statistically negatively correlated with G, R, B, and A before the voice therapy. Jitter, Shimmer, and NHR of MDVP were positively correlated with G, R, B. Jitter, Shimmer, and NHR of the MDVP were significantly correlated with the Cepstrum index. G, B, A and CPP-a and CPP-s showed a statistically significant negative correlation and a somewhat higher correlation coefficient between 0.5 and 0.78. On the other hand, in MDVP index, there was a positive correlation with G and B only with Jitter of 0.4. Conclusion : CPP can be an important evaluation tool in the evaluation of speech in the unilateral vocal cord paralysis when speech energy changes or the cycle is not constant during speech.

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Watch Out for the Early Killers: Imaging Diagnosis of Thoracic Trauma

  • Yon-Cheong Wong;Li-Jen Wang;Rathachai Kaewlai;Cheng-Hsien Wu
    • Korean Journal of Radiology
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    • 제24권8호
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    • pp.752-760
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    • 2023
  • Radiologists and trauma surgeons should monitor for early killers among patients with thoracic trauma, such as tension pneumothorax, tracheobronchial injuries, flail chest, aortic injury, mediastinal hematomas, and severe pulmonary parenchymal injury. With the advent of cutting-edge technology, rapid volumetric computed tomography of the chest has become the most definitive diagnostic tool for establishing or excluding thoracic trauma. With the notion of "time is life" at emergency settings, radiologists must find ways to shorten the turnaround time of reports. One way to interpret chest findings is to use a systemic approach, as advocated in this study. Our interpretation of chest findings for thoracic trauma follows the acronym "ABC-Please" in which "A" stands for abnormal air, "B" stands for abnormal bones, "C" stands for abnormal cardiovascular system, and "P" in "Please" stands for abnormal pulmonary parenchyma and vessels. In the future, utilizing an artificial intelligence software can be an alternative, which can highlight significant findings as "warm zones" on the heatmap and can re-prioritize important examinations at the top of the reading list for radiologists to expedite the final reports.

Incidence and management of condylar resorption after orthognathic surgery: An overview

  • Barone, Selene;Cosentini, Giorgio;Bennardo, Francesco;Antonelli, Alessandro;Giudice, Amerigo
    • 대한치과교정학회지
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    • 제52권1호
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    • pp.29-41
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    • 2022
  • Objective: Condylar resorption (CR) is one of the major post-surgical complications of orthognathic surgery. This systematic review (SR) aimed to evaluate epidemiological data, risk factors, and therapeutical management of CR. Methods: Six databases were screened by two investigators until September 2020 to obtain all SRs. After reading the titles and abstracts, eligible SRs were determined and data extraction was performed. Using the latest version of A Measurement Tool to Assess Systematic Reviews, the methodological quality of the included SRs was determined. Results: Ten SRs with low or critically-low methodological quality were included in this review. Mandibular hypoplasia on the sagittal plane and hyperdivergent growth pattern on the vertical plane were the most common skeletal alterations in which CR could occur after orthognathic surgery. Post-operative condylar changes were analyzed both on two-dimensional and three-dimensional (3D) radiographic examinations. The incidence of CR was not related to the fixation method. Based on the severity of the pathological conditions, management of CR can include conservative or surgical therapy. Conclusions: Despite the limited evidence in literature, CR is considered a consequence of orthognathic surgery. However, an accurate diagnosis of CR and a better orthognathic surgical planning must include 3D radiographic examinations to improve pre- and post-surgical comparison. Well-designed studies with long-term follow-up and 3D data are needed to clarify the findings of this analysis..

MIM 소프트웨어를 이용한 3-D PET/CT 영상의 방사선치료 평가를 위한 임상적용에 관한 연구 (Using MIM Software 3-D PET / CT imaging for the evaluation of radiation therapy on the clinical application of research)

  • 이상호
    • 한국방사선학회논문지
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    • 제9권4호
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    • pp.249-255
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    • 2015
  • 본 연구는 PET/CT의 이미지 추가 정보를 통해 이미지 재형성과 합성기능을 바탕으로 TPS 임상 적용과 기초 자료 활용 및 지속적인 연구 개발을 위하여 True-D 기법과 MIM 소프트웨어를 접목하여 각각의 영상 간 합성 작업을 기반으로 이미지의 폭 넓은 활용으로 임상에서 판독에 소용되는 시간 및 비용을 줄이고 효율적 진단 및 방사선치료 시 종양 표적 결정에 유효한 도구로 사용하고자 함이며 정밀한 치료효과 판정에 활용하여 임상에서 판독에 소요되는 시간과 불필요한 추가 검사를 줄일 수 있을 것으로 기대하며 종양환자 판독 보고서 작성 및 PACS 등 타 소프트웨어와의 호환성 개발로 PET/CT 기기의 성능평가에 활용 될 것으로 기대한다.

인공 지능을 이용한 흉부 엑스레이 이미지에서의 이물질 검출 (Detecting Foreign Objects in Chest X-Ray Images using Artificial Intelligence)

  • 한창화
    • 한국방사선학회논문지
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    • 제17권6호
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    • pp.873-879
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    • 2023
  • 본 연구는 인공지능(AI)을 사용하여 흉부 엑스레이 이미지에서 이물질을 탐지하는 방법을 탐구하였다. 의료영상학, 특히 흉부 엑스레이는 폐렴이나 폐암과 같은 질병을 진단하는 데 매우 중요한 역할을 한다. 영상의학 검사가 증가함에 따라 AI는 효율적이고 빠른 진단을 위한 중요한 도구가 되었다. 하지만 이미지에는 단추나 브래지어 와이어와 같은 일상적인 장신구를 포함한 이물질이 포함될 수 있어 정확한 판독을 방해할 수 있다. 본 연구에서는 이러한 이물질을 정확하게 식별하는 AI 알고리즘을 개발하였고, 미국 국립보건원 흉부 엑스레이 데이터셋을 가공하여 YOLOv8 모델을 기반으로 처리하였다. 그 결과 정확도, 정밀도, 리콜, F1-score가 모두 0.91에 가까울 정도로 높은 탐지 성능을 보였다. 이번 연구는 AI의 뛰어난 성능에도 불구하고 이미지 내 이물질로 인해 판독 결과가 왜곡될 수 있는 문제점을 해결함으로써 영상의학 분야에서 AI의 혁신적인 역할과 함께, 임상 구현에 필수적인 정확성에 기반하여 신뢰성을 강조하였다.