scholarly journals Building the knowledge base for non-combinable codes according to the Korean Standard Classification of Diseases

2018 ◽  
Vol 7 (3.33) ◽  
pp. 223
Author(s):  
Mijung Kim ◽  
. .
Keyword(s):  
Diabetes Mellitus ◽  
Knowledge Base ◽  
Disease Classification ◽  
Authoring Tool ◽  
Classification Rules ◽  
Classification Of Diseases ◽  
Combinatorial Codes ◽  
Standard Classification ◽  
The Subject

The purpose of this study is to develop a knowledge base for non-combinable combinatorial codes to improve the accuracy of disease classification. We defined the rules related to non-combinable codes according to the list of code pairs proposed by the HIRA and the KCD-7 classification rules. A knowledge base was created according to defined rules and verified. To validate the knowledge base, inpatients who were billed for diabetes mellitus in December 2016 were selected as the subject of the study. As a result, the number of combinatorial codes proposed by the HIRA was 1,195, but the number of code pairs generated in the knowledge base was 25,439. Non-combinable codes by confirming with an indication of the HIRA have discovered 1,391 cases. As a result of verification with the code pair of the proposed knowledge base, 100 combinations were found. Non-combinable codes by confirming with an indication of the HIRA have discovered 1,391 cases. As a result of verification with the code pair of the proposed knowledge base, 3,525 combinations were found. It is meaningful that a convenient authoring tool that can automatically catch combinatorial codes was developed to build a knowledge base.  

The State-Centred Nosology

2016 ◽  
Vol 11 (1-2) ◽  
pp. 100-132
Author(s):  
Taehyung Lee
Keyword(s):  
South Korea ◽  
Medical Service ◽  
Disease Classification ◽  
Traditional Korean Medicine ◽  
Korean Medicine ◽  
South Korean ◽  
Classification Of Diseases ◽  
Korean National Health Insurance ◽  
Standard Classification

Since 1951, when the Medical Service Act was enacted in South Korea, traditional Korean medicine has been an independent part of a dual medical system along with biomedicine. Despite several attempts to subordinate Korean medicine to biomedicine, Korean medicine has managed to remain an institutionally-independent system of medical care. However, in the years since the launch of the South Korean National Health Insurance Service in 1977, official regulations have required Korean medical nosology to be linked to biomedical nosology. In particular, during the four times of revision from 1979 to 2015, the originally separated disease classification of Korean medicine was gradually integrated into the Korean Standard Classification of Diseases (kcd), which heavily relies on biomedical nosology. The present study uses this nosological shift as a window to illustrate the transformation of Korean medicine in South Korea since the 1970s.

scholarly journals Introduction to the History and Current Status of Evidence-Based Korean Medicine: A Unique Integrated System of Allopathic and Holistic Medicine

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Chang Shik Yin ◽  
Seong-Gyu Ko
Keyword(s):  
Evidence Based Medicine ◽  
Holistic Medicine ◽  
National Standard ◽  
Evidence Based ◽  
Korean Medicine ◽  
Classification Of Diseases ◽  
Recent Developments ◽  
Standard Classification ◽  
Based Medicine

Objectives. Korean medicine, an integrated allopathic and traditional medicine, has developed unique characteristics and has been active in contributing to evidence-based medicine. Recent developments in Korean medicine have not been as well disseminated as traditional Chinese medicine. This introduction to recent developments in Korean medicine will draw attention to, and facilitate, the advancement of evidence-based complementary alternative medicine (CAM).Methods and Results. The history of and recent developments in Korean medicine as evidence-based medicine are explored through discussions on the development of a national standard classification of diseases and study reports, ranging from basic research to newly developed clinical therapies. A national standard classification of diseases has been developed and revised serially into an integrated classification of Western allopathic and traditional holistic medicine disease entities. Standard disease classifications offer a starting point for the reliable gathering of evidence and provide a representative example of the unique status of evidence-based Korean medicine as an integration of Western allopathic medicine and traditional holistic medicine.Conclusions. Recent developments in evidence-based Korean medicine show a unique development in evidence-based medicine, adopting both Western allopathic and holistic traditional medicine. It is expected that Korean medicine will continue to be an important contributor to evidence-based medicine, encompassing conventional and complementary approaches.

Tenth Revision of the International Classification of Diseases — In Progress

1988 ◽  
Vol 152 (S1) ◽  
pp. 29-32 ◽  
Author(s):  
G. R. Brämer
Keyword(s):  
Causes Of Death ◽  
Statistical Study ◽  
International Classification Of Diseases ◽  
World Health ◽  
Classification Of Diseases ◽  
International Statistical Classification ◽  
Standard Classification ◽  
Uniform Nomenclature ◽  
Health Organization

Classification is fundamental to science and a standard classification of diseases and injury is essential for the systematic statistical study of illness and death. This was recognised as early as the seventeenth century when such studies started and in 1853 Dr William Farr of London and Marc d'Espine of Geneva were entrusted with the task of preparing ‘a uniform nomenclature of causes of death applicable to all countries’. This led eventually to the International Statistical Classification of Diseases, Injuries and Causes of Death (ICD). In 1948, when the World Health Organization (WHO) was created, the newborn agency was asked to review and revise the classification regularly. The ICD is now undergoing its tenth revision.

As for clinical classification of diabetic retinopathy (review)

2021 ◽  
pp. 77-85
Author(s):  
K.N. Akhtyamov ◽  
◽  
M.R. Kalanov ◽  
R.M. Zainullin ◽  
T.A. Khalimov ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Surgical Treatment ◽  
Morphological Changes ◽  
Clinical Classification ◽  
Lively Discussion ◽  
Optimal Classification ◽  
The Subject ◽  
Combined Interventions

Currently no unified generally accepted classification of intraocular changes due to diabetes mellitus (DM), in particular, diabetic retinopathy (DR). The methodological heterogeneity of the existing classifications is largely due to the different directions of their application. Some classifications are optimal for the choice of surgical treatment tactics, others - for laser and / or combined interventions. Obviously, the valuation of any classification lies in the completeness whole palette of available clinical and morphological changes considering staging pathogenetic process. Therefore, the search for optimal classification of DR that meets current possibilities of treating vitreoretinal pathology is the subject of a lively discussion. Key words: classifications, diabetic retinopathy, advantages and limitations.

scholarly journals Severity of hypertension as a predictor of initiation of dialysis among study participants with and without diabetes mellitus

2020 ◽  
pp. jim-2020-001489
Author(s):  
Taeko Osawa ◽  
Kazuya Fujihara ◽  
Mayuko Harada Yamada ◽  
Masahiko Yamamoto ◽  
Masaru Kitazawa ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Pressure ◽  
International Classification Of Diseases ◽  
Medical Procedures ◽  
Future Studies ◽  
Initiation Of Dialysis ◽  
Classification Of Diseases ◽  
Study Participants ◽  
The Impact

To determine associations between severity of hypertension and risk of starting dialysis in the presence or absence of diabetes mellitus (DM). A nationwide database with claims data on 258 874 people with and without DM aged 19–72 years in Japan was used to elucidate the impact of severity of hypertension on starting dialysis. Initiation of dialysis was determined from claims using International Classification of Diseases-10 codes and medical procedures. Using multivariate Cox modeling, we investigated the severity of hypertension to predict the initiation of dialysis with and without DM. Hypertension was significantly associated with the initiation of dialysis regardless of DM. The incidence of starting dialysis in those with systolic blood pressure (SBP) ≤119 mm Hg and DM (DM+) was almost the same as in those with SBP ≥150 mm Hg and absence of DM (DM−). In comparison with SBP ≤119 mm Hg, SBP ≥150 mm Hg significantly increased the risk of the initiation of dialysis about 2.5 times regardless of DM+ or DM−. Compared with DM− and SBP ≤119 mm Hg, the HR for DM+ and SBP ≥150 mm Hg was 6.88 (95% CI 3.66 to 12.9). Although the risks of hypertension differed only slightly regardless of the presence or absence of DM, risks for starting dialysis with DM+ and SBP ≤119 mm Hg were equivalent to DM− and SBP ≥150 mm Hg, indicating more strict blood pressure interventions in DM+ are needed to avoid dialysis. Future studies are required to clarify the cut-off SBP level to avoid initiation of dialysis considering the risks of strict control of blood pressure.

Respiratory Dysfunction in Patients With Sepsis: Protective Effect of Diabetes Mellitus

2011 ◽  
Vol 20 (2) ◽  
pp. e41-e47 ◽  
Author(s):  
Yong Yang ◽  
Zakir-Hussain Abdul Salam ◽  
Biauw Chi Ong ◽  
Kok Soong Yang
Keyword(s):  
Diabetes Mellitus ◽  
Organ Dysfunction ◽  
Asian Population ◽  
Diabetic Patients ◽  
Respiratory Dysfunction ◽  
Discharge Data ◽  
Patients With Diabetes ◽  
Classification Of Diseases ◽  
International Statistical Classification

Background Sepsis is a common complication in patients with diabetes mellitus. In a Western population, risk of respiratory dysfunction was lower in diabetic patients with sepsis. Objective To compare organ dysfunction, particularly respiratory dysfunction, between sepsis patients with and without diabetes mellitus in an Asian population. Method Hospital discharge data were collected for the period 2004 through 2008. Patients with sepsis, diabetes mellitus, and organ dysfunction were identified by using the International Statistical Classification of Diseases and Related Health Problems, 9th Revision, Australian Modification codes. Results Of the 383 238 patients hospitalized during the 5 years, 2943 of the 9221 who had sepsis also had diabetes (31.9%).The most common organ dysfunctions in patients with sepsis were renal (31.5%), cardiovascular (19.2%), and respiratory (10.9%). Among patients with sepsis, respiratory dysfunction was less likely in patients with diabetes (9.4%) than in those without (11.6%; P = .002), but renal dysfunction was more likely in patients with diabetes (46.5%) than in those without (24.4%; P < .001). However, only 27.6% of patients with diabetes had a respiratory source of sepsis compared with 33.4% in patients without diabetes (P < .001). Among patients with sepsis, diabetes mellitus was a significant and independent predictor of respiratory dysfunction (odds ratio, 0.80; 95% confidence interval, 0.66–0.98) after adjustments for age, sex, ethnicity, admission to intensive care, number of comorbid conditions, and other infection sources. Conclusion Among an Asian population, respiratory dysfunction in patients with sepsis is less likely to develop in those with diabetes than in those without diabetes.

Development of ICD-10-TM Ontology for a Semi-automated Morbidity Coding System in Thailand

2012 ◽  
Vol 51 (06) ◽  
pp. 519-528 ◽  
Author(s):  
S. Nitsuwat ◽  
W. Paoin
Keyword(s):  
Knowledge Base ◽  
International Classification Of Diseases ◽  
Health Problems ◽  
Index Structure ◽  
Hierarchical Level ◽  
Coding System ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Icd Coding

SummaryObjectives: The International Classification of Diseases and Related Health Problems, 10th Revision, Thai Modification (ICD-10-TM) ontology is a knowledge base created from the Thai modification of the World Health Organization International Classification of Diseases and Related Health Problems, 10th Revision. The objectives of this research were to develop the ICD-10-TM ontology as a knowledge base for use in a semi-automated ICD coding system and to test the usability of this system.Methods: ICD concepts and relations were identified from a tabular list and alphabetical indexes. An ICD-10-TM ontology was defined in the resource description framework (RDF), notation-3 (N3) format. All ICD-10-TM contents available as Microsoft Word documents were transformed into N3 format using Python scripts. Final RDF files were validated by ICD experts. The ontology was implemented as a knowledge base by using a novel semi-automated ICD coding system. Evaluation of usability was performed by a survey of forty volunteer users.Results: The ICD-10-TM ontology consists of two main knowledge bases (a tabular list knowledge base and an index knowledge base) containing a total of 309,985 concepts and 162,092 relations. The tabular list knowledge base can be divided into an upper level ontology, which defines hierarchical relationships between 22 ICD chapters, and a lower level ontology which defines relations between chapters, blocks, categories, rubrics and basic elements (include, exclude, synonym etc.)of the ICD tabular list. The index knowledge base describes relations between keywords, modifiers in general format and a table format of the ICD index. In this research, the creation of an ICD index ontology revealed interesting findings on problems with the current ICD index structure. One problem with the current structure is that it defines conditions that complicate pregnancy and perinatal conditions on the same hierarchical level as organ system diseases. This could mislead a coding algorithm into a wrong selection of ICD code. To prevent these coding errors by an algorithm, the ICD-10-TM index structure was modified by raising conditions complicating pregnancy and perinatal conditions into a higher hierarchical level of the index knowledge base. The modified ICD-10-TM ontology was implemented as a knowledge base in semi-automated ICD-10-TM coding software. A survey of users of the software revealed a high percentage of correct results obtained from ontology searches (> 95%) and user satisfaction on the usability of the ontology.Conclusion: The ICD-10-TM ontology is the first ICD-10 ontology with a comprehensive description of all concepts and relations in an ICD-10-TM tabular list and alphabetical index. A researcher developing an automated ICD coding system should be aware of The ICD index structure and the complexity of coding processes. These coding systems are not a word matching process. ICD-10 ontology should be used as a knowledge base in The ICD coding software. It can be used to facilitate successful implementation of ICD in developing countries, especially in those countries which do not have an adequate number of competent ICD coders.

scholarly journals Based On K-means Disease Diagnosis Research

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Jiaqi Wu
Keyword(s):  
Medical Science ◽  
Disease Diagnosis ◽  
Modern Medicine ◽  
Disease Classification ◽  
Scientific Management ◽  
Data Set ◽  
Sample Data ◽  
Classification Of Diseases ◽  
Diagnosis Of Diseases

Abstract： For the diagnosis of diseases, modern medicine usually searches for diseases in the disease database to find the type of disease that matches them. The diagnosis of diseases is the first step in treatment. Then the classification of diseases is the basis of disease diagnosis. Disease classification plays an extremely important role in the scientific management of medical records and the development of modern medicine, and is a bridge connecting modern medical science. Therefore, the classification of diseases is very necessary. Based on this, this article establishes a K-means model for disease diagnosis, and combines the internationally unified disease type code ICD statistics table to classify the sample data set into infectious and parasitic diseases, tumors, diabetes and circulatory diseases The training is perfect, and finally the diagnosis classification of the disease is realized.

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