• 제목/요약/키워드: International Classification of Diseases

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의사의 금연 건강지도의무와 의료과오책임 (Doctor's Failure to Provide Effective Treatments for Smokers and the Legal Responsibility of Medical Malpractice)

  • 김운묵
    • 의료법학
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    • 제9권2호
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    • pp.231-267
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    • 2008
  • Tobacco has become the world's leading cause of deaths and diseases. And !be tobacco use and dependence itself is a kind of diseases, so-called "mental and be-havioural disorders due to use of tobacco" in "International Statistical Classification of Diseases and Related Health Problems(ICD-10)" and "Korean Standard Classification of Diseases". The tobacco use and dependence is a chronic disease that requires repeated clinical interventions and multiple attempts to quit. But effective treatments to the tobacco use and dependence are developed and exist that can significantly increase the rate of long-tenn smoking abstinence. So the physicians should warn smoking patients about the dangers of smoking to the health and the life, and the clinicians ought to provide one of more of the treatments which have been proven effective in helping smokers quit to smoke. It has been concluded that if a doctor failed to provide effective treatment for smokers, and the smokers subsequently died of the smokers-related conditions(tobaccosis) or became incapacitated by the tobaccosis the smokers were considered in the medical malpractice. Thus the smokers could sue the physician for medical malpractice, claiming that the doctor's legal responsibility of appropriate treatments including smoking-cessation which the physician deliberately or negligently breached.

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치주질환 및 임플란트 주위 질환의 새 분류 (A new classification of periodontal and peri-implant disease)

  • 신현승
    • 대한치과의사협회지
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    • 제57권12호
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    • pp.758-767
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    • 2019
  • The classification of periodontal disease in 1999 has been widely used for determining a diagnosis, establishing a treatment plan, and evaluating the prognosis of the patient with periodontal disease. However, scientific evidence from many studies indicates the need for a new classification system for periodontal and peri-implant disease. Summary at 2017 world workshop as follows: 1) Periodontal health and peri-implant health was defined; 2) Chronic periodontitis and aggressive periodontitis were unified as periodontitis; 3) Periodontitis was further classified by staging and grading to reflect disease severity and management complexity, rate of disease progression, respectively; 4) Periodontal disease as manifestation of systemic disease is based on the International Statistical Classification of Diseases and Related Health Problems-10 (ICD-10) code; 5) Periodontal biotype and biologic width was replaced to periodontal phenotype and supracrestal tissue attachment, respectively; 6) The excessive occlusal force was replaced by a traumatic occlusal force; 7) ≥3 mm of radiographic bone loss, ≥6 mm of pocket probing depth and bleeding on probing indicates peri-implantitis in the absence of radiograph at final prosthesis delivery.

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Review on ICF-related Research Trends in Korean Clinical Field

  • Song, Ju-Min
    • 대한물리의학회지
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    • 제16권4호
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    • pp.33-44
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    • 2021
  • PURPOSE: This study analyzed the research trends related to the International Classification of Functioning, Disability, and Health (ICF) to suggest an ICF utilization plan in the Korean clinical field. METHODS: In the RISS, KISS, NSDL, and PubMed databases, papers published between 2016 and July 2021 were collected by applying the search terms, 'ICF', 'international classification of functioning, disability and health', 'clinic', 'patient', and 'diagno'. The 44 papers selected were classified according to the analysis criteria, and the frequency and percentage were calculated. RESULTS: In domestic clinical trials, the frequency of ICF-related studies was in the order of physical therapy (n = 19) and occupational therapy (n = 14). The frequency of each study subject was observed in the order of studies related to a specific disease (n = 34) and prior studies (n = 7). The research topics were in the order of studies using ICF as a measurement tool (n = 21) and case studies with patients with specific diseases (n = 11). There were 18 studies using ICF codes and 14 papers applying the ICF domains. CONCLUSION: Over the last five years, ICF-related research in the domestic clinical field targeted patients with more diverse diseases in more expertise fields. Research for the unification of terms should be conducted for communication among various experts in clinical practice. To promote the use of ICF in the clinical field, it will be necessary to conduct research, such as the unification of terms, standardized education, development of ICF casebook, and development of ICF coding programs and guidelines.

Image-based Soft Drink Type Classification and Dietary Assessment System Using Deep Convolutional Neural Network with Transfer Learning

  • Rubaiya Hafiz;Mohammad Reduanul Haque;Aniruddha Rakshit;Amina khatun;Mohammad Shorif Uddin
    • International Journal of Computer Science & Network Security
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    • 제24권2호
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    • pp.158-168
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    • 2024
  • There is hardly any person in modern times who has not taken soft drinks instead of drinking water. The rate of people taking soft drinks being surprisingly high, researchers around the world have cautioned from time to time that these drinks lead to weight gain, raise the risk of non-communicable diseases and so on. Therefore, in this work an image-based tool is developed to monitor the nutritional information of soft drinks by using deep convolutional neural network with transfer learning. At first, visual saliency, mean shift segmentation, thresholding and noise reduction technique, collectively known as 'pre-processing' are adopted to extract the location of drinks region. After removing backgrounds and segment out only the desired area from image, we impose Discrete Wavelength Transform (DWT) based resolution enhancement technique is applied to improve the quality of image. After that, transfer learning model is employed for the classification of drinks. Finally, nutrition value of each drink is estimated using Bag-of-Feature (BoF) based classification and Euclidean distance-based ratio calculation technique. To achieve this, a dataset is built with ten most consumed soft drinks in Bangladesh. These images were collected from imageNet dataset as well as internet and proposed method confirms that it has the ability to detect and recognize different types of drinks with an accuracy of 98.51%.

Intelligent System for the Prediction of Heart Diseases Using Machine Learning Algorithms with Anew Mixed Feature Creation (MFC) technique

  • Rawia Elarabi;Abdelrahman Elsharif Karrar;Murtada El-mukashfi El-taher
    • International Journal of Computer Science & Network Security
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    • 제23권5호
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    • pp.148-162
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    • 2023
  • Classification systems can significantly assist the medical sector by allowing for the precise and quick diagnosis of diseases. As a result, both doctors and patients will save time. A possible way for identifying risk variables is to use machine learning algorithms. Non-surgical technologies, such as machine learning, are trustworthy and effective in categorizing healthy and heart-disease patients, and they save time and effort. The goal of this study is to create a medical intelligent decision support system based on machine learning for the diagnosis of heart disease. We have used a mixed feature creation (MFC) technique to generate new features from the UCI Cleveland Cardiology dataset. We select the most suitable features by using Least Absolute Shrinkage and Selection Operator (LASSO), Recursive Feature Elimination with Random Forest feature selection (RFE-RF) and the best features of both LASSO RFE-RF (BLR) techniques. Cross-validated and grid-search methods are used to optimize the parameters of the estimator used in applying these algorithms. and classifier performance assessment metrics including classification accuracy, specificity, sensitivity, precision, and F1-Score, of each classification model, along with execution time and RMSE the results are presented independently for comparison. Our proposed work finds the best potential outcome across all available prediction models and improves the system's performance, allowing physicians to diagnose heart patients more accurately.

The evolving classifications and epidemiological challenges surrounding chronic migraine and medication overuse headache: a review

  • Schembri, Emanuel;Barrow, Michelle;McKenzie, Christopher;Dawson, Andrew
    • The Korean Journal of Pain
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    • 제35권1호
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    • pp.4-13
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    • 2022
  • Changes in diagnostic criteria, for example, the various International Classification of Headache Disorders criteria, would lead to changes in the outcomes of epidemiological studies. International Classification of Headache Disorders-1 was based mainly on expert opinion, yet most of the diagnostic criteria were reliable and valid, but it did not include chronic migraine. In its second version, the classification introduced chronic migraine, but this diagnosis resembled more a high-frequency migraine rather than the actual migraine transformation process. It also introduced medication overuse headache, but it necessitated analgesic withdrawal and subsequent headache improvement to be diagnosed as such. Hence patients having medication overuse headache could only be diagnosed in retrospect, which was an awkward situation. Such restrictive criteria for chronic migraine and medication overuse headache omitted a high proportion of patients. International Classification of Headache Disorders-3 allows a diagnosis of medication overuse headache due to combination analgesics if taken for at least 10 days per month for more than three months. Hence the prevalence rate of medication overuse headache and chronic migraine can increase compared to the previous version of the headache classification. Different criteria have been used across studies to identify chronic migraine and medication overuse headache, and therefore the information acquired from previous studies using earlier criteria becomes uncertain. Hence much epidemiological research would need to be interpreted cautiously or repeated with the most updated criteria, since the subjects in studies that apply the latest criteria may be phenotypically different from those in older studies.

Current Diagnosis and Management of Hypersensitivity Pneumonitis

  • Leone, Paolo Maria;Richeldi, Luca
    • Tuberculosis and Respiratory Diseases
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    • 제83권2호
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    • pp.122-131
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    • 2020
  • Hypersensitivity Pneumonitis (HP) one of the most common interstitial lung diseases (ILDs) is characterized by exposure to an inhaled inciting antigen that leads to a host immunologic reaction determining interstitial inflammation and architectural distortion. The underlying pathogenetic mechanisms are unclear. The absence of international shared diagnostic guidelines and the lack of a "gold-standard" test for HP combined with the presence of several clinical and radiologic overlapping features makes it particularly challenging to differentiate HP from other ILDs, also in expert contests. Radiology is playing a more crucial role in this process; recently the headcheese sign was recognized as a more specific for chronic-HP than the extensive mosaic attenuation. Several classification proposals and diagnostic models have been advanced by different groups, with no prospective validation. Therapeutic options for HP have been limited to antigen avoidance and immunosuppressant drugs over the last decades. Several questions about this condition remain unanswered and there is a need for more studies.

miRNA, PPI, 질병 정보를 이용한 마이크로어레이 데이터 통합 모델 설계 (Integrated Model Design of Microarray Data Using miRNA, PPI, Disease Information)

  • 하경식;임진묵;김홍기
    • 한국지능시스템학회논문지
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    • 제22권6호
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    • pp.786-792
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    • 2012
  • 마이크로어레이는 수만 가지 이상의 DNA 또는 RNA를 기판위에 배열해 놓은 것이며 이 기술을 이용하여 대량의 유전자 발현을 탐색할 수 있게 되었다. 그렇지만 마이크로어레이는 실험자가 탐색하려는 특정 표현형에 대해서 설계된 실험방법을 이용하므로 제한된 숫자의 유전자 발현만을 관찰할 수 있다. 본 논문에서는 MicroRNAs(miRNAs)와 Protein-Protein Interaction(PPI) 정보를 포함하고 있는 데이터베이스를 활용하여 마이크로어레이 데이터의 의미적 확장 방법을 제시하고자 한다. 또한 Online Mendelian Inheritance in Man(OMIM) 및 International Statistical Classification of Diseases and Related Health Problems, $10^{th}$ Revision(ICD-10)을 이용하여 질병 간 유전적 공통점 파악을 시도하였다. 이러한 접근방법을 통하여 새로운 생물학적 시각을 제공할 수 있을 것으로 기대된다.

Suicide Mortality Across Broad Occupational Groups in Greece: A Descriptive Study

  • Alexopoulos, Evangelos C.;Kavalidou, Katerina;Messolora, Fani
    • Safety and Health at Work
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    • 제7권1호
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    • pp.1-5
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    • 2016
  • Background: Several studies have investigated the relationship between specific occupations and suicide mortality, as suicide rates differ by profession. The aim of this study was to investigate suicide mortality ratios across broad occupational groups in Greece for both sexes in the period 2000-2009. Methods: Data of suicide deaths were retrieved from the Hellenic Statistical Authority and comparative mortality ratios were calculated. Occupational classification was based on the International Classification of Occupations (ISCO-88) and the coding for Intentional self-harm (X60-X84) was based on the international classification of diseases (ICD-10). Results: Male dominant occupations, mainly armed forces, skilled farmers and elementary workers, and female high-skilled occupations were seen as high risk groups for suicide in a period of 10 years. The age-productive group of 30-39 years in Greek male elementary workers and the 50-59 age-productive group of Greek professional women proved to have the most elevated number of suicide deaths. Conclusion: Further research is needed into the work-related stressors of occupations with high suicide mortality risk and focused suicide prevention strategies should be applied within vulnerable working age populations.

소아청소년과 입원환자의 흔한 질병 코드들(1997-2008): 감염질환 중심의 단일기관 연구 (Common Disease Codes in Pediatric Inpatients (1997-2008))

  • 박지은;이수영;강진한
    • Pediatric Infection and Vaccine
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    • 제18권1호
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    • pp.54-60
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    • 2011
  • 목 적 : 소아청소년과에 입원하는 흔한 원인 질병을 조사하여, 기간별 연령군별 질병의 분포를 확인하고 그 역학적 변화를 추정하기 위하여 본 연구를 계획하였다. 방 법: 1997년부터 2008년까지 소아청소년과 입원환자를 대상으로, 인구학적 특징, 입원일, 질병코드(ICD-10)를 조사하였다. 연구 기간은 전반기(1997-2002)와 후반기(2003-2008)로 양분하였고, 연령은 영아기, 유아기, 학령기 및 청소년기, 4군으로 구분하여 다빈도 질병을 비교하였다. 결 과: 12년간 입원 환자수는 총 33,513명이었다. 다빈도 질병은 폐렴(J12-J18; 21.2%), 장염(A00-A09; 17.8%), 모세기관지염(J21; 11.9%) 등 순이었고, 1-10위 다빈도 질병은 전체의 79.1%를 차지하였다. 기간별 비교에서 호흡기 감염질환(모세기관지염, 중이염, 부비동염)과 림프절 종대, 농가진/봉와직염으로 입원한 환자수는 증가하였고 무균 수막염, 장중첩증, 홍역, 신증후군/신염으로 입원한 환자수는 감소하였다. 연령군별로 다빈도 질병의 분포에 차이를 보이기도 하여서 질병에 따른 호발 연령군을 확인하였다. 결 론:다빈도 질병은 기간별 연령군별로 차이를 보였다. 이러한 역학적 변화는 소아청소년과의 진료계획 수립에 반영되어야 할 것이다.