Relevant bibliographies by topics / Internet of Medical Things (IoMT)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Internet of Medical Things (IoMT)'

Author: Grafiati
Published: 18 November 2024
Last updated: 25 July 2025

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Journal articles on the topic "Internet of Medical Things (IoMT)"

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Tanvir Mahmud. "Applications for the Internet of Medical Things." International Journal of Science and Research Archive 10, no. 2 (2023): 1247–54. https://doi.org/10.30574/ijsra.2023.10.2.0962.

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IoMT has revolutionized healthcare by integrating advanced technologies to enhance patient monitoring, diagnosis, and treatment. This paper explores the applications associated with IoMT, including its role in remote health monitoring, intelligent disease diagnosis, infectious disease tracing, and smart hospital management. IoMT enables real-time data collection and analysis through interconnected medical devices, improving healthcare efficiency and accessibility. This review provides insights into the current advancements in IoMT.
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Nishad, Dipesh Kumar, and Diwakar R. Tripathi. "Internet of Medical Things (IoMT): Applications and Challenges." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 3 (2020): 2885–89. http://dx.doi.org/10.61841/turcomat.v11i3.14654.

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The Internet of Medical Things (IoMT) is revolutionizing healthcare by enabling remote patient monitoring, telemedicine, smart healthcare devices, and health data analytics. This paper provides a comprehensive review of the applications, benefits, challenges, and future trends of IoMT in healthcare. The applications of IoMT, including remote patient monitoring and telemedicine, have the potential to improve patient outcomes, enhance healthcare efficiency, and reduce costs. However, the implementation of IoMT is hindered by security and privacy concerns, interoperability issues, regulatory chal
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Kjwan, Alyaa Ali Hameed, and Omar Hasan Mohammad. "Enhancing Medical Data Analysis with Federated Learning in the Internet of Medical Things." April-May 2024, no. 43 (April 1, 2024): 38–52. http://dx.doi.org/10.55529/ijrise.43.38.52.

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The Internet of Things refers to physical items, which are equipped with software, sensors, computing power, and other technologies, and that communicate with other electronic devices and systems over communication networks or the Internet. A collection of medical devices and software programmes known as the Internet of Medical Things (IoMT) link to healthcare networks via internet computing. Machine-to-machine communication, which is the foundation of IoMT, is made feasible by medical equipment that includes Wi-Fi. IoMT devices have the ability to analyse and store collected data by connectin
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Akash, Golaviya1* Madhuri Patel2 Mayur Jhala3. "Internet of things (IoT) and Its Applications." Science World a monthly e magazine 2, no. 11 (2022): 1927–31. https://doi.org/10.5281/zenodo.7373629.

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The technological developments in this 21<sup>st</sup> century has a potential to influence our daily lives. Internet of things (IoT) is a network formed by interconnecting heterogeneous things or objects aimed to solve an addressed problem that generally requires interdisciplinary approaches. IoT provides each physical object/device with the opportunity to see, hear and talk with others so that they can share their knowledge and make decisions. The independence of humans to interact, contribute and collaborate on things have expanded with an increase in the use of mobile technology and smart
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Taherdoost, Hamed. "Blockchain-Based Internet of Medical Things." Applied Sciences 13, no. 3 (2023): 1287. http://dx.doi.org/10.3390/app13031287.

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IoMT sensor nodes, Internet of Things (IoT) wearable medical equipment, healthcare facilities, patients, and insurance firms are all increasingly being included in IoMT systems. Therefore, it is difficult to create a blockchain design for such systems, since scalability is among the most important aspects of blockchain technology. This realization prompted us to comprehensively analyze blockchain-based IoMT solutions developed in English between 2017 and 2022. This review incorporates the theoretical underpinnings of a large body of work published in highly regarded academic journals over the
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Gaurav, Akshat, Konstantinos Psannis, and Dragan Peraković. "Security of Cloud-Based Medical Internet of Things (MIoTs)." International Journal of Software Science and Computational Intelligence 14, no. 1 (2022): 1–16. http://dx.doi.org/10.4018/ijssci.285593.

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In this digital era expectations for medical quality have increased. As the number of patients continues to increase, conventional health care methods are having to deal with new complications. In light of these observations, researchers suggested a hybrid combination of conventional health care methods with IoT technology and develop MIoT. The goal of IoMT is to ensure that patients can respond more effectively and efficiently to their treatment. But preserving user privacy is a critical issue when it comes to collecting and handling highly sensitive personal health data. However, IoMTs have
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Prasad, V. Maruthi, and B. Bharathi. "An Internet of Medical Things and Deep Learning-Based Intelligent Security Framework for Heart Health." Indian Journal Of Science And Technology 18, no. 26 (2025): 2100–2110. https://doi.org/10.17485/ijst/v18i26.3485.

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Objective: This study aims to address the growing network security risks posed by the increasing integration of IoMT infrastructure into medical facilities. The main goal is to develop and propose the Duo-Secure IoMT architecture that effectively counters complex cybersecurity threats such as botnet-driven distributed denial of service (DDoS) attacks and zero-day attacks while maintaining the integrity of clinical data. Methods: The Duo-Secure IoMT framework uses multimodal sensory cues to differentiate between typical IoMT data behaviour and patterns of malicious attacks. To analyze sensory d
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Lakshmipriya, Thangavel, and Subash C. B. Gopinath. "Internet of Medical Things (IoMT) for Alzheimer Patient’s Outcome." CNS & Neurological Disorders - Drug Targets 24, no. 7 (2025): 491–93. https://doi.org/10.2174/0118715273371149250218081425.

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The Internet of Medical Things (IoMT) is a network system that connects devices with medical and healthcare for the ultimate aim of collecting, transmitting, and analyzing the acquired data in the presence of the internet. A wide range of equipment and monitoring systems have been generated with IoMT, and they permit real-time monitoring, sharing the data, analysis, patient care, and for efficient operation. At the advanced level, it is highly facilitated with remote patient digital monitoring and telemedicine. IoMT has a significant potential to enhance the care of Alzheimer’s disease patient
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Siddiq, Abdulrahman I. "A Comprehensive Review of the Internet of Medical Things in Healthcare." International Journal of Electrical and Electronic Engineering & Telecommunications 13, no. 6 (2024): 415–26. http://dx.doi.org/10.18178/ijeetc.13.6.415-426.

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The continuous and rapid development in Internet of Medical Things (IoMT) technologies has led to the expansion of their applications in the field of healthcare and to increased interest in developing their technologies for the purpose of improving their performance in light of the challenges facing their practical application. This paper aims to provide a comprehensive up-to-date review of the literature on IoMT and telemedicine. The study discusses the growing interest in the Internet of Things (IoT) in healthcare, emphasizing the IoMT. It highlights the significance of the IoMT in intellige
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Cassinadane, Ananda Vayaravel, Akshaya Sridhar, Priyanka Sekar, and Sami Ranajan Sahoo. "Internet of things in medicine and dentistry." International Journal of Clinical Biochemistry and Research 9, no. 2 (2022): 98–105. http://dx.doi.org/10.18231/j.ijcbr.2022.020.

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The internet of Things (IoT) in medical arena, also known as internet of medical things (IoMT) is the collection of medical devices and application connecting healthcare Information Technology (IT) system by means of online computer networks. It enables virtually any medical devices as well as non digitalized things (like pills and beds) to connect process and communicate data via web. IoMT allows medical devices and health-care items to exchange data on the spot, online with anyone who has a genuine need for it. The aura of IoMT includes wireless communication technologies, cloud computing, w
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Dissertations / Theses on the topic "Internet of Medical Things (IoMT)"

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Sayeed, Md Abu. "Epileptic Seizure Detection and Control in the Internet of Medical Things (IoMT) Framework." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703334/.

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Epilepsy affects up to 1% of the world's population and approximately 2.5 million people in the United States. A considerable portion (30%) of epilepsy patients are refractory to antiepileptic drugs (AEDs), and surgery can not be an effective candidate if the focus of the seizure is on the eloquent cortex. To overcome the problems with existing solutions, a notable portion of biomedical research is focused on developing an implantable or wearable system for automated seizure detection and control. Seizure detection algorithms based on signal rejection algorithms (SRA), deep neural networks (DN
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Gheryani, Mostafa. "Epileptic seizure and anomaly detection in internet of medical things." Electronic Thesis or Diss., Université Paris Cité, 2021. http://www.theses.fr/2021UNIP5211.

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L'objectif de ma thèse est d'analyser les caractéristiques des signaux inertiels et physiologiques qui générés par les mouvements inhabituels des patients lorsque la crise survient et de développer un algorithme pour détecter la crise. Notre approche dans le chapitre III commence par dériver la moyenne quadratique pour l'ACM et le Gyro, suivie de la normalisation de signaux entiers dans la même plage puis de l'agrégation en un seul signal. Le contrôle du graphique avec ses limites supérieure et inférieure est défini lors de la phase au repos et utilisé pour détecter les crises anormales et pou
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Poggi, Giovanni. "Internet of Medical Things." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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In questa tesi, si partirà con un'introduzione generale all'Internet of Things focalizzando l'attenzione sulla struttura generale dell'architettura ed il suo funzionamento di base in una rete con molti altri dispositivi. Seguirà l'analisi del trend di questa tecnologia e la sua evoluzione nel tempo, con particolare attenzione all'architettura ed al suo successo ai giorni nostri. Verrà discussa l'industrializzazione che ha portato alla creazione delle Industrie 4.0, ovvero l'Internet of Things in ambito sensoristica applicato all'industria, alla robotica, ai Big Data che si occupano dell'archiv
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Olokodana, Ibrahim Latunde. "Kriging Methods to Exploit Spatial Correlations of EEG Signals for Fast and Accurate Seizure Detection in the IoMT." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1707311/.

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Epileptic seizure presents a formidable threat to the life of its sufferers, leaving them unconscious within seconds of its onset. Having a mortality rate that is at least twice that of the general population, it is a true cause for concern which has gained ample attention from various research communities. About 800 million people in the world will have at least one seizure experience in their lifespan. Injuries sustained during a seizure crisis are one of the leading causes of death in epilepsy. These can be prevented by an early detection of seizure accompanied by a timely intervention mech
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Maioli, Edoardo. "Internet of Medical Things e Sviluppo di Sistemi Interoperabili basati su Standard FHIR: Un caso di studio basato sull'integrazione di un Dispositivo EGA." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24306/.

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Ci troviamo in un mondo in costante cambiamento ed evoluzione, in particolar modo nel settore informatico. È proprio in questo continuo processo di evoluzione che spicca l’IoT ovvero Interent Of Things (Internet delle cose). Oggetti, anche di tutti i giorni, collegati ad Internet capaci di scambiarsi messaggi e di comunicare tra loro. Kevin Ashton, pioniere dell’IoT, dice che questa sarà la prossima rivoluzione tecnologica come lo è stato a suo tempo Internet. Tuttavia, come sarà discusso in questa tesi, alcuni ambiti di applicazione dell’IoT come il sistema medico ed osped
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Chisanga, Fredrick. "Medical application of the Internet of Things (IoT): prototyping a telemonitoring system." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/27940.

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The Internet of Things (IoT) is a technological paradigm that can be perceived as an evolution of the internet. It is a shift from the traditional way of connecting devices to the internet, both in number and diversity of connected devices. This significant and marked growth in the number and diversity of devices connected to the internet has prompted a rethink of approaches to interconnect devices. The growth in the number of connected devices is driven by emerging applications and business models and supported by falling device costs while the growth in the diversity is driven by the reducti
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Bughio, Kulsoom Saima. "IoMT security: A semantic framework for vulnerability detection in remote patient monitoring." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2841.

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The increasing need to safeguard patient data in Internet of Medical Things (IoMT) devices highlights the critical importance of reducing vulnerabilities within these systems. The widespread adoption of IoMT has transformed healthcare by enabling continuous remote patient monitoring (RPM), which enhances patient outcomes and optimizes healthcare delivery. However, the integration of IoMT devices into healthcare systems presents significant security challenges, particularly in protecting sensitive patient data and ensuring the reliability of medical devices. The diversity of data formats used b
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Sundaravadivel, Prabha. "Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157532/.

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Human body is a complex system organized at different levels such as cells, tissues and organs, which contributes to 11 important organ systems. The functional efficiency of this complex system is evaluated as health. Traditional healthcare is unable to accommodate everyone's need due to the ever-increasing population and medical costs. With advancements in technology and medical research, traditional healthcare applications are shaping into smart healthcare solutions. Smart healthcare helps in continuously monitoring our body parameters, which helps in keeping people health-aware. It provides
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Dellgren, Emelie. "A case study on how the Apple Watch can benefit medical heart research." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211493.

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The medical health industry is entering a new era and technology will play a great role in this area. Equipment in hospitals is in many cases strictly dependent on technology that works. However, technology in the medical health industry will maybe become a bigger part of our private lifestyle. This lifestyle includes digital health apps, wearables and devices that track your daily physical routines with “Internet of things”. These ways of keeping track of your health can be used for private purposes, but also to complement medical studies with clinical results. This thesis will focus on how w
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Lu, Andy. "Forensic analysis on wireless medical devices." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2022. https://ro.ecu.edu.au/theses/2541.

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The number of Internet of Things (IoT) devices is forecast to grow to over 25 billion by 2030, with the healthcare IoT market projected to grow to 25.9% of IoT devices by 2028 worldwide. However, with new and growing technologies come new types of risks. Current risk assessment and risk management methods haven’t been designed to anticipate or predict these risks. IoT risks relate to openness and lack of standardisation, linking and connectivity between the devices and the lack of skilled support for IoT devices and networks. These factors put medical IoT devices and, by extension, their users
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Books on the topic "Internet of Medical Things (IoMT)"

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Gupta, Sunil, Hitesh Kumar Sharma, and Monit Kapoor. Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT). Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18896-1.

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Hemanth, D. Jude, J. Anitha, and George A. Tsihrintzis, eds. Internet of Medical Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63937-2.

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Mitra, Anirban, Jayanta Mondal, and Anirban Das. Medical Internet of Things. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429318078.

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Hassanien, Aboul Ella, Nilanjan Dey, and Surekha Borra, eds. Medical Big Data and Internet of Medical Things. CRC Press, 2018. http://dx.doi.org/10.1201/9781351030380.

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Chakraborty, Chinmay, Amit Banerjee, Lalit Garg, and Joel J. P. C. Rodrigues, eds. Internet of Medical Things for Smart Healthcare. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8097-0.

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Prasanth, A., Lakshmi D, Rajesh Kumar Dhanaraj, Sherimon P C, and Balamurugan Balusamy. Cognitive Computing for Internet of Medical Things. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003256243.

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Tanwar, Sudeep, Ashwin Verma, and Pronaya Bhattacharya. Federated Learning for Internet of Medical Things. CRC Press, 2023. http://dx.doi.org/10.1201/9781003303374.

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Krishnan, Saravanan, and Aboobucker Ilmudeen. Internet of Medical Things in Smart Healthcare. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003369035.

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Sapra, Luxmi, Varun Sapra, and Akashdeep Bhardwaj. Security Implementation in Internet of Medical Things. CRC Press, 2023. http://dx.doi.org/10.1201/9781003269168.

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Al-Turjman, Fadi, and Anand Nayyar, eds. Machine Learning for Critical Internet of Medical Things. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-80928-7.

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Book chapters on the topic "Internet of Medical Things (IoMT)"

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Sharma, Neha, Sadhana Tiwari, Md Ilyas, Rajeev Raghuvanshi, and Ashwin Verma. "IoMT Implementation." In Federated Learning for Internet of Medical Things. CRC Press, 2023. http://dx.doi.org/10.1201/9781003303374-4.

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Gupta, Sunil, Hitesh Kumar Sharma, and Monit Kapoor. "Internet of Medical Things (IoMedT) vs Internet of Things (IoT)." In Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18896-1_3.

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D’Souza, Rohan. "Implementation of the Internet of Medical Things (IoMT): Clinical and Policy Implications." In Internet of Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66633-0_14.

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Dhaya, R., R. Kanthavel, Adline Freeda, A. Anju, and J. Frank Vijay. "Blockchain and Internet of Medical Things (IoMT)." In Blockchain Technologies. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3928-1_2.

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Prasad, Vivek Kumar, Jainil Solanki, Pronaya Bhattacharya, Ashwin Verma, and Madhuri Bhavsar. "Artificial Intelligence Applications for IoMT." In Federated Learning for Internet of Medical Things. CRC Press, 2023. http://dx.doi.org/10.1201/9781003303374-2.

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Jeba Kumar, R. J. S., J. Roopa Jayasingh, and Deepika Blessy Telagathoti. "Intelligent Transit Healthcare Schema Using Internet of Medical Things (IoMT) Technology for Remote Patient Monitoring." In Internet of Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63937-2_2.

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Joshi, Purva. "Communication Protocols for Internet of Medical Things (IoMT)." In EAI/Springer Innovations in Communication and Computing. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-69441-7_12.

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Pushpalatha, N., P. Anbarasu, and A. Venkatesh. "Communication Protocols for IoMT-Based Healthcare Systems." In Cognitive Computing for Internet of Medical Things. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003256243-4.

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Patel, Jigna, Jitali Patel, Rupal Kapdi, and Shital Patel. "Early Prediction of Prevalent Diseases Using IoMT." In Federated Learning for Internet of Medical Things. CRC Press, 2023. http://dx.doi.org/10.1201/9781003303374-7.

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Gupta, Sunil, Hitesh Kumar Sharma, and Monit Kapoor. "Authentication Methods for Internet of Medical Things." In Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18896-1_10.

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Conference papers on the topic "Internet of Medical Things (IoMT)"

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N, Ashokkumar, Narayana Reddy Yatam, Chandra I, Anita Christaline. J., R. Bhairavi, and Thiruveni M. "Internet of Medical Things (IoMT): Opportunities and Security Challenges." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10689770.

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Anusha, V. Sai, R. Kiran Kumar, G. Charan Kumar, and Palagiri Mabjan. "Comprehensive Survey on Internet of Medical Things (IoMT) - Applications and Challenges." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724150.

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Farhan, Mohsen Aued, Aqeel Al-Hilali, Nadhema Ahmed Jaff, Ali Hilal Mutlag, and Ali Hilal Mutlag. "Securing Internet of Medical Things (IoMT) Devices with Deep Learning Techniques." In 2024 International Conference on Emerging Research in Computational Science (ICERCS). IEEE, 2024. https://doi.org/10.1109/icercs63125.2024.10895269.

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Zhang, Hui, Guangchen Ruan, Roland Hartich, et al. "Magnol.Ai — an Internet of Medical Things (IoMT) Platform for Digital Health Research." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825104.

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Cherif, Asma. "Intrusion Detection for Internet of Medical Things (IoMT) using Extreme Learning Machine." In 2025 2nd International Conference on Advanced Innovations in Smart Cities (ICAISC). IEEE, 2025. https://doi.org/10.1109/icaisc64594.2025.10959678.

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Kalakoti, Rajesh, Sven Nõmm, and Hayretdin Bahsi. "Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks." In 2024 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2024. https://doi.org/10.1109/icmla61862.2024.00179.

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Poudel, Akash, Sujata Mohanty, and Manabhanjan Pradhan. "Design of Lightweight Authentication Scheme for Low Power Internet of Medical Things (IoMT)." In 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE). IEEE, 2024. http://dx.doi.org/10.1109/icspcre62303.2024.10675052.

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Kabir, Md Rafiul, and Sandip Ray. "DT-IoMT: A Digital Twin Reference Model for Secure Internet of Medical Things." In 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). IEEE, 2024. http://dx.doi.org/10.1109/isvlsi61997.2024.00084.

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Yang, Jingsen, Tianchi Lin, Yuehao Ma, Yanlin Zhou, Ziyi Wang, and Zhenlin Li. "Analysis of CT Tube Degradation Based on Internet of Medical Things (IoMT) Data." In 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2025. https://doi.org/10.1109/icccbda64898.2025.11030473.

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Ramesh, Keshav, Nikita Christ Miller, Aariz Faridi, Fadi Aloul, Imran Zualkernan, and Ali Reza Sajun. "Efficient Machine Learning Frameworks for Strengthening Cybersecurity in Internet of Medical Things (IoMT) Ecosystems." In 2024 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS). IEEE, 2024. https://doi.org/10.1109/iotais64014.2024.10799438.

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Reports on the topic "Internet of Medical Things (IoMT)"

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Ali, Mohamed. Internet of things medical devices cybersecurity. Iowa State University, 2020. http://dx.doi.org/10.31274/cc-20240624-920.

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MacFarlane, Andrew. 2021 medical student essay prize winner - A case of grief. Society for Academic Primary Care, 2021. http://dx.doi.org/10.37361/medstudessay.2021.1.1.

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As a student undertaking a Longitudinal Integrated Clerkship (LIC)1 based in a GP practice in a rural community in the North of Scotland, I have been lucky to be given responsibility and my own clinic lists. Every day I conduct consultations that change my practice: the challenge of clinically applying the theory I have studied, controlling a consultation and efficiently exploring a patient's problems, empathising with and empowering them to play a part in their own care2 – and most difficult I feel – dealing with the vast amount of uncertainty that medicine, and particularly primary care, pre
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Yemen: Urban displacement in a rural society. Internal Displacement Monitoring Center (IDMC), 2019. http://dx.doi.org/10.55363/idmc.obmq2729.

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War and displacement in Yemen are not primarily urban in nature. Despite the amount of media attention given to key urban battles such as the siege of Taiz and the battle for Hodeidah, nearly 70 per cent of conflict and displacement takes place in rural areas. This paper, part of the 'UnSettlement: Urban displacement in the 21st century' thematic series, examines the urban and rural characteristics of displacement in Yemen, including the push and pull factors in both areas. It provides an overview of historical urbanisation trends in the country, and a rural-urban disaggregation of large confl
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You might also be interested in the extended bibliographies on the topic 'Internet of Medical Things (IoMT)' for particular source types:
Journal articles Dissertations / Theses Books
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