Automated telemedicine and diagnosis system (ATDS) in diagnosing ailments and prescribing drugs

Albaeazanchi, Israa; Hamid, Sawsan Ali; Abdulrahman, Rana Alauldeen; Abdulshaheed, Haider Rasheed

doi:10.21533/pen.v7i2.486

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…The optical disc is detected and then removed. In the end, the secretion is detected using the FCM algorithm, and images from the online Diaretdb0 and Diaretdb1 databases have been used [11]. Figure 2.…”

Section: The Importance and Objectives Of The Research The Importancementioning

confidence: 99%

Assess the performance of the diagnosis ways of diabetic retinopathy

Jawad¹,

yousif²,

Abbas³

2019

PEN

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Considered the diagnosis of diseases using image processing is one of the most important areas of image processing techniques used in the medical field, where is the digital data in the field of ophthalmology focus of researchers for automatic detection of some important diseases such as diabetic retinopathy (DR). And is defined as damage to the retina of the eye comes as serious complications and on the human body complications resulting from diabetes in the long term and is considered one of the most important causes of blindness in the world and cause serious damage to the retina. The research aims to Assess the performance of some of the methods used in the diagnosis of diabetic retinopathy by revealing one of the most important accompanying pests him in the retina of the eye and is the exudates and through diagnosed in images digital fundus through image processing techniques where this detection process contributes in helping to early detection.

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Section: The Importance and Objectives Of The Research The Importancementioning

confidence: 99%

Assess the performance of the diagnosis ways of diabetic retinopathy

Jawad¹,

yousif²,

Abbas³

2019

PEN

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“…It helps engineering teams to collaborate from different locations all over the world. Also, this software did not required installation process or update [6,7]. This feature enable the user to save and administrate the work flow of the large companies.…”

Section: Introductionmentioning

confidence: 99%

Developing collaboration tool for virtual team using UML models

Mohialden

Abdulbaqi

Shati

2021

IJEECS

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<span>Computer aided software engineering (CASE) uses the unified modelling language UML to produce executable code to visualize software architectural blueprint systems. UML is a standard software modeling language for specifying, constructing, documenting and visualizing the artifacts of produced software-intensive systems. However, UML lacks virtual collaboration regardless of their geographical location. The present work developed a prototype of web-based CASE tool that enables UML modes to manage software projects as a virtual collaboration tool. The present methodology starts with the specification of a set of UML triplets; then, the tool generates the visual models automatically with high quality SVG graphs. The system eliminates the manual diagram requirements based on the UML possibility and supported by three diagrams that involves class and use cases. The independent scripting language was PHP7 and MYSQL 8.0 which was used to save the system data.</span>

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Machine Learning and Natural Language Processing Algorithms in the Remote Mobile Medical Diagnosis System of Internet Hospitals

Huang,

Zhang

2024

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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In order to alleviate the contradiction between supply and demand of professional pharmacists, integrate medical resources, and ensure the safety of patients' medication, the telemedicine diagnosis system has played a great role. Today, in this "Internet +" era, all walks of life have begun to integrate with Internet technology. The purpose of this paper was to discuss the practical utility of machine learning and natural language processing algorithms in the remote mobile medical diagnosis system of Internet hospitals, for which this paper conducted in-depth discussion. This paper first introduced the basic concepts, development and characteristics of machine learning and natural language processing algorithms in detail, and carefully studied and analyzed the development and culture of traditional offline medical diagnosis models. Based on machine learning and natural language processing algorithms, a remote mobile medical diagnosis is designed. By combining with the medical diagnosis system of traditional hospitals, a new type of remote mobile medical diagnosis system for Internet hospitals was designed and developed, and the combination of traditional medical industry and Internet technology was deeply studied. According to each functional requirement, the image module, heart rate measurement module and user setting module are designed respectively. Compared to traditional medical diagnosis systems, the accuracy of the remote mobile medical diagnosis system based on machine learning applied in internet hospital diagnosis in this article reached 80% or even higher. At the same time, it was found through experiments that when the evolution number was 3, the maximum fit value and average fit value were the same, both of which were 0.6. This indicates that the system can accommodate more than 10000 people at the same time, and patients can receive good treatment plans, with a very broad application prospect.

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Automated telemedicine and diagnosis system (ATDS) in diagnosing ailments and prescribing drugs

Cited by 3 publications

References 13 publications

Assess the performance of the diagnosis ways of diabetic retinopathy

Assess the performance of the diagnosis ways of diabetic retinopathy

Developing collaboration tool for virtual team using UML models

Machine Learning and Natural Language Processing Algorithms in the Remote Mobile Medical Diagnosis System of Internet Hospitals

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