Empowering customer satisfaction chatbot using deep learning and sentiment analysis DOI Open Access
Abdelhak Merizig, Houcine Belouaar, M. Bakhouche

и другие.

Bulletin of Electrical Engineering and Informatics, Год журнала: 2024, Номер 13(3), С. 1752 - 1761

Опубликована: Апрель 5, 2024

The rapid advancement of technology holds great promise for various types users, clients, or service providers. Intelligent robots, whether virtual physical, can simplify the reservation process. With development machines and processing tools, natural language (NLP) understanding (NLU) have emerged to help people comprehend spoken through machines. In order facilitate seamless human-machine interaction, we aim address customer needs a chatbot. objective this paper is incorporate sentiment analysis techniques with deep learning algorithms cater customers’ during message exchanges. This study aims create an intelligent chatbot engage customers their routine operations offer support. addition, it offers companies manner detect sarcastic messages. proposed utilizes predict users’ intentions based on questions asked provide helpful convenient answer. A new presented overcome challenges related wrong statement like one feedback towards user comparison between transfer gives insight include sentiments sarcasm detection in conversion

Язык: Английский

The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things DOI
Sarina Aminizadeh, Arash Heidari, Shiva Toumaj

и другие.

Computer Methods and Programs in Biomedicine, Год журнала: 2023, Номер 241, С. 107745 - 107745

Опубликована: Авг. 9, 2023

Язык: Английский

Процитировано

134

Industry 5.0 for Healthcare 5.0: Opportunities, Challenges and Future Research Possibilities DOI

L. Gomathi,

Anand Kumar Mishra, Amit Kumar Tyagi

и другие.

2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), Год журнала: 2023, Номер unknown, С. 204 - 213

Опубликована: Апрель 11, 2023

Industry 5.0 is the subsequent stage in development of manufacturing and production systems that combines cutting-edge technology with human intelligence skills. The healthcare sector has been developing over time, going through significant changes at every stage. emerging idea sector, also known as Healthcare 5.0-and its potential applications are examined this study. makes use technologies to revolutionise delivery, improve patient outcomes, experience a whole. places strong emphasis on integration humans, machines, industry. study discusses 5.0's potentials opportunities, including personalised medicine, sophisticated diagnostics, telemedicine, more patient-centric care, all which made possible by application like Artificial Intelligence (AI), blockchain, big data analytics, robotics. difficulties problems must be solved for implemented successfully, security privacy, ethical legal issues, need appropriate skills training professionals, cost-effectiveness.

Язык: Английский

Процитировано

77

From static web to metaverse: reinventing medical education in the post-pandemic era DOI Creative Commons
Kadriye O. Lewis, Vitaliy Popov, Syeda Sadia Fatima

и другие.

Annals of Medicine, Год журнала: 2024, Номер 56(1)

Опубликована: Янв. 23, 2024

The World Wide Web and the advancement of computer technology in 1960s 1990s respectively set ground for a substantial simultaneous change many facets our life, including medicine, health care, medical education. traditional didactic approach has shifted towards more dynamic interactive methods, leveraging technologies such as simulation tools, virtual reality, online platforms. At forefront is remarkable evolution that revolutionized how knowledge accessed, disseminated, integrated into pedagogical practices. COVID-19 pandemic also led to rapid large-scale adoption e-learning digital resources education because widespread lockdowns, social distancing measures, closure schools healthcare training programs. This review paper examines from Flexnerian era modern age, closely examining influence evolving WWW its shift Education 1.0 4.0. been further accentuated by transition static landscapes 2D immersive realms 3D, especially considering growing notion metaverse. application metaverse an interconnected, shared space includes reality (VR), augmented (AR), mixed (MR) create fertile simulation-based training, collaborative learning, experiential skill acquisition competency development. multifaceted applications education, outlining both benefits challenges. Through insightful case studies examples, it highlights innovative potential platform learning experiences. Moreover, addresses role emerging shaping post-pandemic future ultimately culminating series recommendations tailored institutions aiming successfully capitalize on revolutionary changes.

Язык: Английский

Процитировано

75

Are we there yet? Unbundling the potential adoption and integration of telemedicine to improve virtual healthcare services in African health systems DOI Creative Commons
Elliot Mbunge,

Benhildah Muchemwa,

John Batani

и другие.

Sensors International, Год журнала: 2021, Номер 3, С. 100152 - 100152

Опубликована: Дек. 7, 2021

Since the outbreak of COVID-19, attention has now shifted towards universal vaccination to gracefully lift strict COVID-19 restrictions previously imposed contain spread disease. Sub-Saharan Africa is experiencing an exponential increase infections and deaths coupled with vaccines shortages, personal protective equipment, weak health systems emerging variants. Some developed countries integrated telemedicine reduce impacts shortage healthcare professionals potentially risk exposure, ensuring easy delivery quality services while limiting regular physical contact direct hospitalization. However, adoption telehealth still nascent in many sub-Saharan countries. Therefore, this study reflects on progress made use telemedicine, virtual care services, challenges encountered, proffers ways address them. We conducted a systematic literature review synthesise Africa. The revealed that provides unprecedented benefits such as improving efficiency, effective utilization resources, forward triaging, prevention medical personnel infection, aiding students' clinical observation participation, assurance social support for patients. absence policy political will, cost sustenance inadequate funding, technological infrastructural barriers, patient bias cultural barriers are identified factors African systems. To alleviate some these we recommend development robust policies frameworks care, inclusion school curriculum, supporting research development, increasing removing monopolisation telecommunication developing solutions eccentricities

Язык: Английский

Процитировано

60

Shift to 6G: Exploration on trends, vision, requirements, technologies, research, and standardization efforts DOI

Dhinesh Kumar R,

Suresh Chavhan

Sustainable Energy Technologies and Assessments, Год журнала: 2022, Номер 54, С. 102666 - 102666

Опубликована: Окт. 3, 2022

Язык: Английский

Процитировано

53

Non-invasive smart implants in healthcare: Redefining healthcare services delivery through sensors and emerging digital health technologies DOI Creative Commons
Goabaone Gaobotse, Elliot Mbunge, John Batani

и другие.

Sensors International, Год журнала: 2022, Номер 3, С. 100156 - 100156

Опубликована: Янв. 1, 2022

The adoption of non-invasive smart implants is inevitable due to recent technological advancements in and the increasing demand provide pervasive personalized care. integration presents unprecedented opportunities for effective disease prevention, real-time health data collection, early detection diseases, monitoring chronic virtual patient care, patient-tailored treatment, minimally invasive management diseases. Even though research work this area nascent, study potential benefits use healthcare while reflecting on challenges limitations their utilization. With current advancements, regaining momentum managing conditions diseases such as cancer, cardiovascular cognitive impairment; orthopedic surgery, dental surgery; remotely infectious novel coronavirus 2019 (COVID-19). However, full utilization still encounter barriers lack policies frameworks regulating use, limited memory space, consequences implants' failure, clinical challenges, hazards imposed by implants, security, privacy risks. Therefore, there a need robust security measures well formulation guiding development implants. gained experience from next generation may include sophisticated modern computational techniques that can analyze suggest adequate therapeutic actions.

Язык: Английский

Процитировано

41

Application of deep learning and machine learning models to improve healthcare in sub-Saharan Africa: Emerging opportunities, trends and implications DOI Creative Commons
Elliot Mbunge, John Batani

Telematics and Informatics Reports, Год журнала: 2023, Номер 11, С. 100097 - 100097

Опубликована: Сен. 1, 2023

Deep learning and machine techniques present unmatched opportunities to improve healthcare in sub-Saharan Africa (SSA). However, there is a paucity of literature on AI-based applications deployed care SSA, which makes it challenging organise the research contributions highlight obstacles emerging areas that need be explored future. This study applied PRISMA (Preferred Reporting Items for Systematic Reviews Meta-Analysis) model conduct comprehensive review deep models SSA access while exploring opportunities, trends implications integrating healthcare. reveals AI can analyse derive inferences from massive health data early detection, diagnosis, monitoring chronic disorders, prediction diseases, large-scale public patterns help limit exposure contagious environments. facilitate development targeted interventions patient outcomes all stages treatment, drug monitoring, personalised medicine, control care. Integrating with tremendously assist professionals policymakers disease diagnosis making informed decisions. algorithms bias, poor formats, lack policies frameworks supporting integration data-driven solutions into systems hinder systems. There transparency ethical use crafting support Utilising also researchers workers move towards smart better comprehend future needs

Язык: Английский

Процитировано

26

An SDN-enabled fog computing framework for wban applications in the healthcare sector DOI
Subhranshu Sekhar Tripathy, Sujit Bebortta, Mazin Abed Mohammed

и другие.

Internet of Things, Год журнала: 2024, Номер 26, С. 101150 - 101150

Опубликована: Фев. 28, 2024

Язык: Английский

Процитировано

8

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection DOI Open Access
Soomaiya Hamid, Narmeen Zakaria Bawany, Ali Hassan Sodhro

и другие.

Electronics, Год журнала: 2022, Номер 11(17), С. 2777 - 2777

Опубликована: Сен. 3, 2022

The Internet of Medical Things (IoMT) is transforming modern healthcare systems by merging technological, economical, and social opportunities has recently gained traction in the domain. severely contagious respiratory syndrome coronavirus called COVID-19 emerged as a severe threat to public health. highly infectious virus that spread person-to-person contact. Therefore, minimizing physical interactions between patients medical workers necessary. significance technology its associated potential were fully explored proven during outbreak all domains human life. Healthcare employ modes facilitate increasing number patients. need for remote was reemphasized, many solutions adopted. Various IoMT-based proposed implemented support traditional with reaching maximum people remotely. objective this research twofold. First, systematic literature review (SLR) conducted critically evaluate 76 articles on IoMT different applications, especially other health sectors. Secondly, we briefly frameworks role technologies propose framework, named ‘cov-AID’, remotely monitors diagnoses disease. framework encompasses benefits sensors extensive data analysis prediction. Moreover, cov-AID also helps identify regions alerts not visit those locations prevent infection. promising dynamic patient monitoring, tracking, quick disease diagnosis, treatment, prevention from spreading others. We discuss challenges faced adopting applying big combat COVID-19.

Язык: Английский

Процитировано

26

A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things DOI Creative Commons
Seyed Salar Sefati, Asim Ul Haq,

Nidhi Nidhi

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 113741 - 113784

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

6