scholarly journals Disease Classification with E-Report Generation, Authentication and Encryption

2021 ◽  
Vol 9 (VI) ◽  
pp. 2717-2721
Author(s):  
Ashish Kurane
Keyword(s):  
Automatic Generation ◽  
Disease Classification ◽  
Privacy Rights ◽  
Medical Field ◽  
Medical Report ◽  
Report Generation ◽  
Death Rates ◽  
The World ◽  
Classification Of Diseases

The assortment of data analysis on the origin of diseases and consequences of mortality is essential to keep track of death rates caused due to diseases. Thus, the classification of diseases is very crucial. Cancer is one of the huge and major diseases of concern in the world. Machine learning is extensively implemented in the medical field in the anticipation of medical errors and early revelation of diseases. Along with the implementation of technology in medical field there is need for authentication to safeguard the privacy rights of patient’s health information. Thus, in this paper, revelation of disease using CNN (Convolutional Neural Networks) algorithm is achieved along with authentication and automatic generation of e-medical report which is further encrypted using RSA (Rivest, Shamir, Adleman) algorithm to overcome the breach of information while being shared from one hospital to another.

What's in a Name?

2013 ◽  
Vol 51 (2) ◽  
pp. 113-116 ◽  
Author(s):  
Marc J. Tassé
Keyword(s):  
Mental Retardation ◽  
Intellectual Disability ◽  
World Health Organization ◽  
International Classification Of Diseases ◽  
World Health ◽  
International Consensus ◽  
The World ◽  
Classification Of Diseases ◽  
Health Organization

Abstract The World Health Organization (WHO) is in the process of developing the 11th edition of the International Classification of Diseases (ICD–11). Part of this process includes replacing mental retardation with a more acceptable term to identify the condition. The current international consensus appears to be replacing mental retardation with intellectual disability. This article briefly presents some of the issues involved in changing terminology and the constraints and conventions that are specific to the ICD.

scholarly journals Nomenclature for congenital and paediatric cardiac disease: the International Paediatric and Congenital Cardiac Code (IPCCC) and the Eleventh Iteration of the International Classification of Diseases (ICD-11)

2017 ◽  
Vol 27 (10) ◽  
pp. 1872-1938 ◽  
Author(s):  
Rodney C. G. Franklin ◽  
Marie J. Béland ◽  
Steven D. Colan ◽  
Henry L. Walters ◽  
Vera D. Aiello ◽  
...  
Keyword(s):  
World Health Organization ◽  
Congenital Heart ◽  
International Classification Of Diseases ◽  
International Classification ◽  
World Health ◽  
Short List ◽  
The World ◽  
Classification Of Diseases ◽  
Health Organization

AbstractAn internationally approved and globally used classification scheme for the diagnosis of CHD has long been sought. The International Paediatric and Congenital Cardiac Code (IPCCC), which was produced and has been maintained by the International Society for Nomenclature of Paediatric and Congenital Heart Disease (the International Nomenclature Society), is used widely, but has spawned many “short list” versions that differ in content depending on the user. Thus, efforts to have a uniform identification of patients with CHD using a single up-to-date and coordinated nomenclature system continue to be thwarted, even if a common nomenclature has been used as a basis for composing various “short lists”. In an attempt to solve this problem, the International Nomenclature Society has linked its efforts with those of the World Health Organization to obtain a globally accepted nomenclature tree for CHD within the 11th iteration of the International Classification of Diseases (ICD-11). The International Nomenclature Society has submitted a hierarchical nomenclature tree for CHD to the World Health Organization that is expected to serve increasingly as the “short list” for all communities interested in coding for congenital cardiology. This article reviews the history of the International Classification of Diseases and of the IPCCC, and outlines the process used in developing the ICD-11 congenital cardiac disease diagnostic list and the definitions for each term on the list. An overview of the content of the congenital heart anomaly section of the Foundation Component of ICD-11, published herein in its entirety, is also included. Future plans for the International Nomenclature Society include linking again with the World Health Organization to tackle procedural nomenclature as it relates to cardiac malformations. By doing so, the Society will continue its role in standardising nomenclature for CHD across the globe, thereby promoting research and better outcomes for fetuses, children, and adults with congenital heart anomalies.

scholarly journals A method for modeling co-occurrence propensity of clinical codes with application to ICD-10-PCS auto-coding

2016 ◽  
Vol 23 (5) ◽  
pp. 866-871 ◽  
Author(s):  
Michael Subotin ◽  
Anthony R Davis
Keyword(s):  
Language Processing ◽  
Automatic Generation ◽  
Statistical Classification ◽  
Clinical Narrative ◽  
Classification Of Diseases ◽  
International Statistical Classification ◽  
Human Coder ◽  
The Right ◽  
Procedure Codes

Abstract Objective Natural language processing methods for medical auto-coding, or automatic generation of medical billing codes from electronic health records, generally assign each code independently of the others. They may thus assign codes for closely related procedures or diagnoses to the same document, even when they do not tend to occur together in practice, simply because the right choice can be difficult to infer from the clinical narrative. Methods We propose a method that injects awareness of the propensities for code co-occurrence into this process. First, a model is trained to estimate the conditional probability that one code is assigned by a human coder, given than another code is known to have been assigned to the same document. Then, at runtime, an iterative algorithm is used to apply this model to the output of an existing statistical auto-coder to modify the confidence scores of the codes. Results We tested this method in combination with a primary auto-coder for International Statistical Classification of Diseases-10 procedure codes, achieving a 12% relative improvement in F -score over the primary auto-coder baseline. The proposed method can be used, with appropriate features, in combination with any auto-coder that generates codes with different levels of confidence. Conclusions The promising results obtained for International Statistical Classification of Diseases-10 procedure codes suggest that the proposed method may have wider applications in auto-coding.

scholarly journals Paraphilic Disorders in ICD-11 and the Forensic context in Brazil

2019 ◽  
pp. 32-32
Author(s):  
Alessandra Diehl ◽  
Jair de Jesus Mari ◽  
Elias Abdalla Filho
Keyword(s):  
World Health Organization ◽  
International Classification Of Diseases ◽  
Health Problems ◽  
International Classification ◽  
World Health ◽  
The World ◽  
Classification Of Diseases ◽  
Paraphilic Disorders ◽  
Health Organization

The World Health Organization (WHO) has made substantial changes to the classification of paraphilic disorders (F65) for the Eleventh Revision of the International Classification of Diseases and Related Health Problems (ICD-11). Its expected that by January 2022 the ICD-11 may already be used by clinicians and stakeholders in many countries around the world.

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