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Enhanced Safe and Secure Distributed Healthcare System Through Efficient Duplication Detection Approach

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TLDR
In a situation where someone falls sick say in a rural area, with all factors kept constant, the village health teams attend to the patient first and if they cannot handle the situation, the person is referred to a health centre ii which is up to one level and up the chain till the national referral hospital in case, the patient is not cured.
Abstract
Nowadays, when a person is affected by some disease, getting proper treatment and to recover is a tedious process. This process may be easy for people living in metro cities with high medical facilities. But for people living in rural areas with a less medical facility, it is a nightmare for them. In a situation where someone falls sick say in a rural area, with all factors kept constant, the village health teams attend to the patient first and if they cannot handle the situation, the person is referred to a health centre ii which is up to one level and up the chain till the national referral hospital in case, the patient is not cured. The manual healthcare facility of the current villages is shown in figure 1. Figure 1: Manual of Existing Health Care System. . ABSTRACT

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Journal ArticleDOI

Skin Cancer Detection using Deep Learning

TL;DR: The methodology consists of using Convolutional Neural Network to identify and diagnose the skin cancer using the IS IC dataset containing 2637 images and the proposed model gives an accuracy of 88% for classifying the training dataset as either benign or malignant.
Proceedings ArticleDOI

Skin Cancer Detection using Deep Learning

TL;DR: In this paper , the authors proposed a methodology to segment the high-level skin lesion and identification of malignancy more accurately with the help of deep learning: 1) Construction of a neural network, which detects the edge of a huge lesion accurately; 2) Designing model that can run on mobile phones.
References
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Book

Distributed Systems: Concepts and Design

TL;DR: The fifth edition of this best-selling text continues to provide a comprehensive source of material on the principles and practice of distributed computer systems and the exciting new developments based on them, using a wealth of modern case studies to illustrate their design and development.
Proceedings ArticleDOI

Adaptive sorted neighborhood methods for efficient record linkage

TL;DR: This work argues that one can achieve significant improvement by adaptively and dynamically changing such parameters of record linkage algorithms, and takes a classical record linkage algorithm, the sorted neighborhood method (SNM), and demonstrates how it can achieve improved accuracy and performance by adaptingively changing its fixed sliding window size.
Journal ArticleDOI

Progressive Duplicate Detection

TL;DR: Two novel, progressive duplicate detection algorithms are presented that significantly increase the efficiency of finding duplicates if the execution time is limited and maximize the gain of the overall process within the time available by reporting most results much earlier than traditional approaches.