ArticleInternational journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management2021
A diagnostic prediction model for colorectal cancer in elderlies via internet of medical things.
Article in International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Alterations in expression of miRNA 497 and long non-coding RNAS (XIST-TSIX) and its significant role in colorectal cancer prediction.Scientific reports · 2025Article
- Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care.JMIR mHealth and uHealth · 2024Article
- An Optimized Model Based on Deep Learning and Gated Recurrent Unit for COVID-19 Death Prediction.Biomimetics (Basel, Switzerland) · 2023Article
- Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review.Yonsei medical journal · 2022Review
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Abstract
Internet of Medical Things (IoMT) and embedded systems have improved the healthcare systems by enabling remote monitoring the patients' health conditions anywhere and anytime especially during novel COVID-19 pandemic. In this paper, an IoT-based predicting model is proposed to predict colorectal cancer (CRC) in elderlies. It provides a CRC predicting model for the involved medical team to continuously trace an elderly's biological indicators using smart wearable embedded systems and medical IoT devices. In this model, vital medical data is collected by IoMT devices and sensors, then analytical information is derived via machine learning (ML) methods for early CRC diagnosis and elderly's health parameters changes. The experimental results confirm that the suggested model meets the proper accuracy of predicting the CRC in aged people.
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