Computer vision based healthcare system for identification of diabetes &amp; its types using AI

Sharma, Avinash; Prasad, Kdv; Chakrasali, Sadashiva V.; Gowda, Dankan; Kumar, Chanakya; Chaturvedi, Abhay; Pazhani, A. Azhagu Jaisudhan

doi:10.1016/j.measen.2023.100751

Cited by 12 publications

(4 citation statements)

References 11 publications

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“…Son aliados de valor para apoyar el diagnóstico, generar propuestas de tratamiento y optimizar la asignación y distribución de recursos en el pna. (Sharma et al, 2023;Wu et al, 2023). Aunque su función es enriquecer y facilitar la toma de decisiones, no deben ni pueden reemplazar a los profesionales de la salud, quienes, con su calidez, criterio, empatía y experiencia, hacen la diferencia.…”

Section: Sistemas Expertosunclassified

Medicina en la era digital: alcances y perspectivas

2024

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El libro Medicina en la era digital: alcances y perspectivas fue realizado gracias al auspicio del Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (papiit) de la Universidad Nacional Autónoma de México, con el proyecto TA400322 titulado “Medicina en la era digital”. Su objetivo es reconocer los avances que se han realizado en materia de medicina digital en nuestro país, así como los retos y dilemas que el uso de la tecnología plantea para los profesionales de la salud, los pacientes, tomadores de decisiones y la sociedad en general. Dividido en dos grandes secciones, la primera busca reconocer los antecedentes históricos, paradigmas, evolución y legislación en nuestro país de la salud digital. La segunda sección del libro busa analizar las problemáticas propias del uso de la medicina digital en distintos escenarios clínicos. Esta obra en su conjunto ofrece un panorama nacional de la implementación, adopción y legislación de la medicina digital en nuestro país planteando las bases históricas, epistemológicas y juridicas, así como los dilemas a los que estas nuevas tecnologías se enfrentan en distintos escenarios de la práctica médica. Esperamos que los análisis y discusiones expresadas generen interés en las y los lectores abonando a la argumentación plural y crítica de un tema relevante para la sociedad actual mexicana.

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Section: Sistemas Expertosunclassified

Medicina en la era digital: alcances y perspectivas

2024

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“…Location-Based: These protocols don't assume any prior knowledge of the sensor nodes' coordinates. Using Global Positioning System (GPS) coordinates, sensor node locations may be determined; this data will then be utilised in conjunction with floods to determine the best possible route [13]. Data Centric Protocols: These protocols are dependent on the sequence number of the desired data and known to be querybased protocols.…”

Section: ░ 2 Literature Surveymentioning

confidence: 99%

Performance Analysis of Energy Efficiency and Security Solutions of Internet of Things Protocols

Itagi¹,

Gowda

Prasad

et al. 2023

IJEER

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The scientific and business communities are showing considerable interest in wireless sensor networks (WSN). The availability of low-cost, small-scale components like CPUs, radios, and sensors, which are often combined into a single chip, is crucial. Parallel to the evolution of WSNs, the concepts of the IoT have been evolving in recent years. Wireless communication technologies may play a significant role in the implementation of IoT, despite the fact that IoT does not need or require any particular technology for communication. WSN assisted IoT networks can drive several applications in many industries. The proposed research explores the possibility of enhancing energy efficiency in WSN-assisted IoTN by balancing various challenging sensor network performance metrics. The base station's current placement inside the sensing field is predetermined by the preexisting routing algorithms. Our study examines the impact of base station placement outside and within the prescribed sensing domains on energy consumption and network longevity. In addition, methods for transferring data from the distributed source sensor to the base station while minimizing energy consumption are investigated. In this preliminary study, we focus on developing an algorithm for WSN-Assisted IoTN that can balance network factors such as hop count, communication distance, and residual energy. To further optimize the routing route between local cluster heads and the base station, a novel network architecture is built based on the Ant-optimization model, which uses centroid routing to balance energy consumption among local clusters. An open-source Network Simulator (NS-3) is used to model the behaviour of the proposed routing protocols and compare them to comparable existing network protocols. All of the suggested protocols have the same fundamentals for creating networks, however they vary in terms of routing, optimization, and performance depending on the development effort under consideration.

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“…Considering the present situation, it is imperative to develop mechanisms that are more adaptable, precise, trustworthy, and responsive. Sharma et al ( 5 ) propose a ground-breaking approach to forecast accuracy using machine learning and AI. The suggested framework classifies diabetes according to the indicators in the data set, where each row represents a system rule that has to be comprehended and assembled using an attribute.…”

Section: Introductionmentioning

confidence: 99%

An integration of hybrid MCDA framework to the statistical analysis of computer-based health monitoring applications

Hongxia,

Juanjuan,

Han

et al. 2024

Front. Public Health

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The surge in computer-based health surveillance applications, leveraging technologies like big data analytics, artificial intelligence, and the Internet of Things, aims to provide personalized and streamlined medical services. These applications encompass diverse functionalities, from portable health trackers to remote patient monitoring systems, covering aspects such as heart rate tracking, task monitoring, glucose level checking, medication reminders, and sleep pattern assessment. Despite the anticipated benefits, concerns about performance, security, and alignment with healthcare professionals’ needs arise with their widespread deployment. This study introduces a Hybrid Multi-Criteria Decision Analysis (MCDA) paradigm, combining the strengths of Additive Ratio Assessment (ARAS) and Analytic Hierarchy Process (AHP), to address the intricate nature of decision-making processes. The method involves selecting and structuring criteria hierarchically, providing a detailed evaluation of application efficacy. Professional stakeholders quantify the relative importance of each criterion through pairwise comparisons, generating criteria weights using AHP. The ARAS methodology then ranks applications based on their performance concerning the weighted criteria. This approach delivers a comprehensive assessment, considering factors like real-time capabilities, surgical services, and other crucial aspects. The research results provide valuable insights for healthcare practitioners, legislators, and technologists, aiding in deciding the adoption and integration of computer-based health monitoring applications, ultimately enhancing medical services and healthcare outcomes.

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Computer vision based healthcare system for identification of diabetes & its types using AI

Cited by 12 publications

References 11 publications

Medicina en la era digital: alcances y perspectivas

Medicina en la era digital: alcances y perspectivas

Performance Analysis of Energy Efficiency and Security Solutions of Internet of Things Protocols

An integration of hybrid MCDA framework to the statistical analysis of computer-based health monitoring applications

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