An e-Health care services framework for the detection and classification of breast cancer in breast cytology images as an IoMT application

Khan, Sana Ullah; Islam, Naveed; Jan, Zahoor; Din, Ikram Ud; Khan, Atif; Faheem, Yasir

doi:10.1016/j.future.2019.01.033

Cited by 50 publications

(18 citation statements)

References 25 publications

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“…Communicable disease surveillance is an ongoing, complex and inefficient process, because a huge number of self-regulating organizations report to a centralized information system. So, it is a challenging task to keep the information flow seamlessly in a timely manner [15],[22]. Moreover, there is no incentives are allotted for the routine staffs.…”

Section: Blockchain Technology In Healthcarementioning

confidence: 99%

Strengthening public health surveillance through blockchain technology

Bhattacharya

Singh

Hossain

2019

AIMSPH

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Blockchain technology is a decentralized system of recording data and performing transactions which is increasingly being used across many industries, including healthcare. It has several unique features like the validation of transaction processes, prevention of systems failure from any single point of transaction, and approval of data sharing with optimal security, to name a few. At the hospital level, blockchain technologies are used in the electronic medical records systems, insurance claims, billing management, and so on. Moreover, this technology is helpful to manage logistic and human resources to achieve the quality of care in learning health systems. In many countries, blockchain is being used to promote patient-centered care by sharing patient data for remote monitoring and management. Furthermore, blockchain technology has the potential to strengthen disease surveillance systems in cases of disease outbreaks resulting in local and global health emergencies. In such conditions, blockchain can be used to identify health security concerns, analyze preventive measures, and facilitate decision-making processes to act rapidly and effectively. Despite its limitations, research, and practice based on blockchain technology have shown promises to strengthen health systems around the world with a potential to reduce the global burden of diseases, mortality, morbidity, and economic costs.

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Section: Blockchain Technology In Healthcarementioning

confidence: 99%

Strengthening public health surveillance through blockchain technology

Bhattacharya

Singh

Hossain

2019

AIMSPH

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“…In return, it has saved the vital organ of the human body. AI has enabled early diagnosis of various diseases such as breast cancer [8], [9], virus diseases [10], Alzheimer's disease [11], [12], and cardiovascular diseases [13]- [17] . Keeping in mind the accuracy and reliability offered by these AIbased diagnostic techniques, many researchers have worked on various disease diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Notice of Retraction: Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning

et al. 2021

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The liver is a vital human body organ and its functionality can be degraded by several diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early diagnosis of liver diseases is extremely crucial for saving human lives. With the rapid development of multimedia technology, it is now possible to design and implement a non-invasive system that can chronic liver diseases. For this purpose, machine learning and Artificial Intelligence (AI) have been used within the past few years. In this regard, digital image processing supported by AI methods has been implemented in the diagnosis of diseases that also showed high reliability. Therefore, in this paper, an iris feature-based non-invasive technique is proposed by incorporating a novel machine-learning algorithm. The experimental setup involved data set for the models' training included 879 subjects from Pakistan, of which 453 subjects have chronic liver disease and 426 are healthy. The iris images were collected using an infrared camera that consists of a lens, a thermal sensor and digital electronics processing. The lens focuses on the infrared energy on the sensor, using distinctive forms of features twenty-two physiological and thirty-three iris features. The designed classification model for a non-invasive system combined eleven different classifiers and used cross-validation techniques for comparing the results. The overall performance of the model was analyzed using five parameters: accuracy, precision, F-score, specificity, and sensitivity. The results confirmed that the proposed non-invasive model is capable of predicting chronic liver diseases with 98% of accuracy.

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“…Internet Things (IoT) [1] provides a diverse opportunity to automate distinct domains, which include wireless sensor networks [2,3], home appliances [4,5], smart cities [6][7][8], healthcare [9][10][11][12][13], security and surveillance [14][15][16], energy consumption [17][18][19], agriculture automation [20], and many more [21][22][23][24][25]. The concept of a smart irrigation system [26] is proposed in the Cloud-based Internet of Agriculture Things (IoAT) [27] in which sensors gather the findings of soil and transmit it towards the base station (BS) to take the required actions [28].…”

Section: Introductionmentioning

confidence: 99%

AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things

Awan

Din

Almogren

et al. 2020

Sensors

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Internet of Things (IoT) provides a diverse platform to automate things where smart agriculture is one of the most promising concepts in the field of Internet of Agriculture Things (IoAT). Due to the requirements of more processing power for computations and predictions, the concept of Cloud-based smart agriculture is proposed for autonomic systems. This is where digital innovation and technology helps to improve the quality of life in the area of urbanization expansion. For the integration of cloud in smart agriculture, the system is shown to have security and privacy challenges, and most significantly, the identification of malicious and compromised nodes along with a secure transmission of information between sensors, cloud, and base station (BS). The identification of malicious and compromised node among soil sensors communicating with the BS is a notable challenge in the BS to cloud communications. The trust management mechanism is proposed as one of the solutions providing a lightweight approach to identify these nodes. In this article, we have proposed a novel trust management mechanism to identify malicious and compromised nodes by utilizing trust parameters. The trust mechanism is an event-driven process that computes trust based on the pre-defined time interval and utilizes the previous trust degree to develop an absolute trust degree. The system also maintains the trust degree of a BS and cloud service providers using distinct approaches. We have also performed extensive simulations to evaluate the performance of the proposed mechanism against several potential attacks. In addition, this research helps to create friendlier environments and efficient agricultural productions for the migration of people to the cities.

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An e-Health care services framework for the detection and classification of breast cancer in breast cytology images as an IoMT application

Cited by 50 publications

References 25 publications

Strengthening public health surveillance through blockchain technology

Strengthening public health surveillance through blockchain technology

Notice of Retraction: Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning

AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things

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