Detection of Antibiotic Constituent in Aspergillus flavus Using Quantum Convolutional Neural Network
Treatment of influenza and its complications is a major challenge for healthcare systems. Pyrazine is one drug used in treating influenza. Aspergillic acid is major antibiotic constituent in pyrazine compounds mined from Aspergillus flavus' final stage. This stage of flavus is detected through color change forming a pale-yellow crystal structure. Detection of the same is complex and demands an experienced fraternity to continuously monitor the growth of fungus and identify its color change. However, researches proved that the task needs to be perfect and a tiny human error leads to a catastrophe in antibiotic creation. To ...
Source: International Journal of E-Health and Medical Communications - January 1, 2023 Category: Information Technology Authors: Sannidhan M. S. Martis, Jason Elroy Nayak, Ramesh Sunder Aithal, Sunil Kumar Sudeepa K. B. Tags: Health Information Systems Medicine & Healthcare Source Type: research

Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors
Due to the advancements in the lifestyle, stress builds enormously among individuals. A few recent studies have indicated that stress is a major contributor for infertility and subsequent ovarian cancer among women of reproductive age. In view of this, the present study proposes a two-stage computational methodology to identify and segment the ovarian tumour and classify it as benign or malignant. Using computerized tomography images, the first stage involves image segmentation using inverted fuzzy c-Means clustering, and second stage consists of deep quantum convolutional neural network in order to detect the tumours. The...
Source: International Journal of E-Health and Medical Communications - January 1, 2023 Category: Information Technology Authors: Kodipalli, Ashwini Fernandes, Steven L. Dasar, Santosh K. Ismail, Taha Tags: Health Information Systems Medicine & Healthcare Source Type: research

Detection of Antibiotic Constituent in Aspergillus Flavus Using Quantum Convolutional Neural Network
Treatment of Influenza and its complications is major challenge for healthcare systems. Pyrazine is one such drug used in treating influenza. Aspergillic acid is major antibiotic constituent in pyrazine compounds mined from aspergillus flavus ’ final stage. This stage of flavus is detected through color change forming a pale-yellow crystal structure. Detection of the same is complex and demands an experienced fraternity to continuously monitor the growth of fungus and identify its color change. However, researches proved that the task needs to be perfect and a tiny human error leads to a catastrophe in antibiotic creatio...
Source: International Journal of E-Health and Medical Communications - January 1, 2023 Category: Information Technology Tags: Health Information Systems Medicine & Healthcare Source Type: research

EEG Forecasting With Univariate and Multivariate Time Series Using Windowing and Baseline Method
People suffering from epilepsy disorder are very much in need for precautionary measures. The only way to provide precaution to such people is to find some methods which help them to know in advance the occurrence of seizures. Using Electroencephalogram, the authors have worked on developing a forecasting method using simple LSTM with windowing technique. The window length was set to five time steps; step by step the length was increased by 1 time step. The number of correct predictions increased with the window length. When the length reached to 20 time steps, the model gave impressive results in predicting the future EEG...
Source: International Journal of E-Health and Medical Communications - October 31, 2022 Category: Information Technology Authors: Thara D. K., Premasudha B. G., Murthy T. V., Bukhari, Syed Ahmad Chan Tags: Health Information Systems Medicine & Healthcare Source Type: research

A Comprehensive Survey on Quantum Machine Learning and Possible Applications
This study reviews the latest articles in quantum computing and quantum machine learning. Building blocks of quantum computing and different flavors of quantum algorithms are also discussed. The latest work in quantum neural networks is also presented. In the end, different possible applications of quantum computing are also discussed. (Source: International Journal of E-Health and Medical Communications)
Source: International Journal of E-Health and Medical Communications - October 31, 2022 Category: Information Technology Authors: Umer, Muhammad Junaid Sharif, Muhammad Imran Tags: Health Information Systems Medicine & Healthcare Source Type: research

EEG forecasting with univariate and multivariate time series using Windowing and Baseline method
People suffering from epilepsy disorder are very much in need for precautionary measures. The only way to provide precaution to such people is to find some methods which help them to know in advance the occurrence of seizures. Using Electroencephalogram we have worked on developing a forecasting method using simple LSTM with windowing technique. The window length was set to 5 time steps; step by step the length was increased by 1 time step. The number of correct predictions increased with the window length. When the length reached to 20 time steps, the model gave impressive results in predicting the future EEG value. Past ...
Source: International Journal of E-Health and Medical Communications - October 31, 2022 Category: Information Technology Tags: Health Information Systems Medicine & Healthcare Source Type: research

A Comprehensive Survey on Quantum Machine Learning and Possible Applications
This study reviews the latest articles in quantum computing and quantum machine learning. Building blocks of quantum computing and different flavors of quantum algorithms are also discussed. The latest work in quantum neural networks is also presented. In the end, different possible applications of quantum computing are also discussed. (Source: International Journal of E-Health and Medical Communications)
Source: International Journal of E-Health and Medical Communications - October 31, 2022 Category: Information Technology Tags: Health Information Systems Medicine & Healthcare Source Type: research

Epidemic Healthcare Kiosk
This article proposes a solution to tackle this major issue worldwide. This article portrays the methodology of an IoT-interfaced epidemic healthcare kiosk (EHK)-intelligent monitoring system to plan and manage epidemics. The EHK is a non-invasive data acquisition system that consists of several sensors that can record the physiological measurements of the EHK user. The measured parameters are computed using quantum machine learning techniques. The proposed ideology can reduce the mortality rate, control the epidemic, and moreover, provide safety to citizens and physicians. (Source: International Journal of E-Health and Me...
Source: International Journal of E-Health and Medical Communications - October 31, 2022 Category: Information Technology Authors: Jagannath, D. J. Dolly, D. Raveena Judie Peter, J. Dinesh Tags: Health Information Systems Medicine & Healthcare Source Type: research

Epidemic Healthcare Kiosk - A Social Economic Remote Solution Using IoT
This article is proposed for a solution to tackle this major issue worldwide. This article portrays the methodology of an IoT interfaced Epidemic Healthcare Kiosk (EHK) – intelligent monitoring system to plan and manage epidemic. The EHK is a non- invasive data acquisition system which c onsists of several sensors which can record the physiological measurements of the EHK user. The measured parameters are computed using quantum machine learning technique. The proposed ideology can reduce the mortality rate, control the epidemic and moreover provide safety to citizens and physicians. (Source: International Journal of E-He...
Source: International Journal of E-Health and Medical Communications - October 31, 2022 Category: Information Technology Tags: Health Information Systems Medicine & Healthcare Source Type: research

Clustering-Based Recommendation System for Preliminary Disease Detection
The catastrophic outbreak COVID-19 has brought threat to the society and also placed severe stress on the healthcare systems worldwide. Different segments of society are contributing to their best effort to curb the spread of COVID-19. As a part of this contribution, in this research, a clustering-based recommender system is proposed for early detection of COVID-19 based on the symptoms of an individual. For this, the suspected patient's symptoms are compared with the patient who has already contracted COVID-19 by computing similarity between symptoms. Based on this, the suspected person is classified into either of the th...
Source: International Journal of E-Health and Medical Communications - August 11, 2022 Category: Information Technology Authors: Jain, Gourav Mahara, Tripti Sharma, S. C. Verma, Om Prakash Sharma, Tarun Tags: Health Information Systems Medicine & Healthcare Source Type: research

Clustering based Recommendation System for preliminary disease detection
The catastrophic outbreak of COVID-2019 has brought threat to the society and also placed severe stress on the healthcare systems worldwide. Different segments of society are contributing to their best effort to curb the spread of Covid-19. As a part of this contribution, in this research clustering based recommender system is proposed for early detection of COVID 19 based on the symptoms of an individual. For this, the suspected patient's symptoms are compared with the patient who has already contracted COVID by computing similarity between symptoms. Based on this, the suspected person is classified into either of the thr...
Source: International Journal of E-Health and Medical Communications - August 11, 2022 Category: Information Technology Tags: Health Information Systems Medicine & Healthcare Source Type: research

Real-Time Surveillance System for Detection of Social Distancing
As the corona virus can mutate and due to other scientific factor associated to it, experts believe that COVID-19 will remain with us for decades. Therefore, one has to keep social distancing measures. Accepting the pandemic situation, the paper presents a mechanism for detecting violations of social distancing using deep learning to estimate the distance between individuals to diminish the influence of COVID-19. The focus of this paper is to understand the effect of social distancing on the spread of COVID-19 by using YOLOv3 and Faster-RCNN and proposes IFRCNN (improved faster region – convolution neural network). The p...
Source: International Journal of E-Health and Medical Communications - August 11, 2022 Category: Information Technology Authors: Babulal, Kanojia Sindhuben Das, Amit Kumar Kumar, Pushpendra Rajput, Dharmendra Singh Alam, Afroj Obaid, Ahmed J. Tags: Health Information Systems Medicine & Healthcare Source Type: research

Simulation of the Lightweight Blockchain Technique Based on Privacy and Security for Healthcare Data for the Cloud System
Information about healthcare is derived from healthcare data. Healthcare data sharing helps make healthcare systems more efficient as well as improving healthcare quality. Patients should own and control healthcare information, one of their most valuable assets, instead of letting data be spread out among health care providers differ. This protects data from being shared between healthcare systems and privacy. Public ledger accompanied by a decentralized network of peer's compromises patient has been demonstrated to be able to achieve trusted, auditable computing by blockchain. The use of access control and cryptographic p...
Source: International Journal of E-Health and Medical Communications - August 11, 2022 Category: Information Technology Authors: Rani, Preeti Verma, Sonia Yadav, Satya Prakash Rai, Bipin Kumar Naruka, Mahaveer Singh Kumar, Devendra Tags: Health Information Systems Medicine & Healthcare Source Type: research

Blockchain-Enabled Electronic Health Records for Healthcare 4.0
Healthcare delivery is on the verge of a fundamental shift into the new era of smart and connected health care, termed Health Care 4.0. Sharing healthcare data is an important step in improving the healthcare system's intelligence and service quality. Healthcare data, which is a personal asset of the patient, should be owned and managed by the patient rather than being dispersed among several healthcare systems, preventing data exchange and jeopardizing patient privacy. EHRs (electronic health records) assist individuals by allowing them to combine and manage their medical data. On the other hand, today's EHR systems fall ...
Source: International Journal of E-Health and Medical Communications - August 11, 2022 Category: Information Technology Authors: Rai, Bipin Kumar Tags: Health Information Systems Medicine & Healthcare Source Type: research

The Terahertz Channel Modeling in Internet of Multimedia Design In-Body Antenna
In this paper, the authors have emphasized on the perspectives of the Terahertz channel modeling in Internet of multimedia nano things (IoMNT) networks. A modulation technique targeting body-centric network is discussed. An analogy of a real Terahertz antenna is developed within a terahertz multi-layer modelling channel for a human skin tissue. As a result, the investigation of how signals at THz frequency band interact and transmit within the skin biomaterial. The human skin model used to collect data was selected to have four layers: epidermis, dermis, blood, and hypodermis, with the depth of the layers varying between n...
Source: International Journal of E-Health and Medical Communications - August 11, 2022 Category: Information Technology Authors: Maphathe, Bokang Francis Thakur, Prabhat Singh, Ghanshyam Iddi, Hashimu E. Tags: Health Information Systems Medicine & Healthcare Source Type: research