A multi-criteria framework for addressing digitalization solutions of medical system under interval-valued T-spherical fuzzy information

[1]  D. Pamučar,et al.  A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms , 2022, Technological Forecasting and Social Change.

[2]  Muhammad Akram,et al.  Assessment of Hydropower Plants in Pakistan: Muirhead Mean-Based 2-Tuple Linguistic T-spherical Fuzzy Model Combining SWARA with COPRAS , 2022, Arabian Journal for Science and Engineering.

[3]  R. Krishankumar,et al.  Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach , 2022, Annals of Operations Research.

[4]  D. Pamučar,et al.  Prioritizing transport planning strategies for freight companies towards zero carbon emission using ordinal priority approach , 2022, Comput. Ind. Eng..

[5]  Jianfeng Li,et al.  Construction of smart medical assurance system based on virtual reality and GANs image recognition , 2022, International Journal of System Assurance Engineering and Management.

[6]  C. Kahraman,et al.  A new ELECTRE-based method for group decision-making with complex spherical fuzzy information , 2022, Knowl. Based Syst..

[7]  Benting Wan,et al.  Interval-Valued q-Rung Orthopair Fuzzy Choquet Integral Operators and Their Application in Group Decision-Making , 2021, Mathematical Problems in Engineering.

[8]  Ali Ebadi Torkayesh,et al.  Recovery center selection for end-of-life automotive lithium-ion batteries using an integrated fuzzy WASPAS approach , 2022, Expert Syst. Appl..

[9]  Fei Yu,et al.  Keyword search over encrypted cloud data based on blockchain in smart medical applications , 2022, Comput. Commun..

[10]  J. N. Swaminathan,et al.  Analysis of ECG Signal Processing for Smart Medical Technologies , 2022, ICT Analysis and Applications.

[11]  Pitchumani Angayarkanni Sekaran.  Smart Medical Kit in Chronic Kidney Disease Management , 2022, Integrating AI in IoT Analytics on the Cloud for Healthcare Applications.

[12]  M. Akram,et al.  Hybrid group decision-making technique under spherical fuzzy N-soft expert sets , 2021, Artificial Intelligence Review.

[13]  Peide Liu,et al.  A novel Pythagorean fuzzy combined compromise solution framework for the assessment of medical waste treatment technology , 2021 .

[14]  K. S. Ravichandran,et al.  An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19) , 2021, Applied Soft Computing.

[15]  I. Ozsahin,et al.  Comparative Evaluation of the Treatment of COVID-19 with Multicriteria Decision-Making Techniques , 2021, Journal of healthcare engineering.

[16]  Neetesh Saxena,et al.  Security and Privacy in IoT Smart Healthcare , 2021, IEEE Internet Computing.

[17]  M. Pourhomayoun,et al.  Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-making , 2021, Smart Health.

[18]  Houbing Song,et al.  CDP-UA: Cognitive Data Processing Method Wearable Sensor Data Uncertainty Analysis in the Internet of Things Assisted Smart Medical Healthcare Systems , 2021, IEEE Journal of Biomedical and Health Informatics.

[19]  Rakesh Tripathi,et al.  Towards design and implementation of security and privacy framework for Internet of Medical Things (IoMT) by leveraging blockchain and IPFS technology , 2021, The Journal of Supercomputing.

[20]  Xiaomin Du,et al.  Research on the Application of Blockchain in Smart Healthcare: Constructing a Hierarchical Framework , 2021, Journal of healthcare engineering.

[21]  Sheifali Gupta,et al.  IoT-based automatic intravenous fluid monitoring system for smart medical environment , 2021, Int. J. Comput. Appl. Technol..

[22]  Peide Liu,et al.  Multi-attribute decision-making method based on normal T-spherical fuzzy aggregation operator , 2021, J. Intell. Fuzzy Syst..

[23]  Tahir Mahmood,et al.  An Intelligent and Robust Framework towards Anomaly Detection, Medical Diagnosis, and Shortest Path Problems Based on Interval-Valued T-Spherical Fuzzy Information , 2020, Mathematical Problems in Engineering.

[24]  S. Jan,et al.  Telemedicine and Health Disparities During COVID-19 , 2020, Pediatrics.

[25]  Saleem Ahmed,et al.  Telemedicine takes centre stage during COVID-19 pandemic , 2020, BMJ Innovations.

[26]  Fatma Kutlu Gündoğdu,et al.  Interval-Valued Spherical Fuzzy MULTIMOORA Method and Its Application to Industry 4.0 , 2020, Decision Making with Spherical Fuzzy Sets.

[27]  Elaine C. Khoong,et al.  Addressing Equity in Telemedicine for Chronic Disease Management During the Covid-19 Pandemic , 2020, Nejm Catalyst Innovations in Care Delivery.

[28]  Jin-Young Choi,et al.  Risk management-based security evaluation model for telemedicine systems , 2020, BMC Medical Informatics and Decision Making.

[29]  Shabir Ahmad,et al.  Towards a Remote Monitoring of Patient Vital Signs Based on IoT-Based Blockchain Integrity Management Platforms in Smart Hospitals , 2020, Sensors.

[30]  J. Hollander,et al.  Virtually Perfect? Telemedicine for Covid-19. , 2020, The New England journal of medicine.

[31]  Prince Waqas Khan,et al.  A Blockchain-Based Secure Image Encryption Scheme for the Industrial Internet of Things , 2020, Entropy.

[32]  Sukhpal Singh Gill,et al.  Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions , 2020, Internet Technol. Lett..

[33]  A. Khatoon.  A Blockchain-Based Smart Contract System for Healthcare Management , 2020, Electronics.

[34]  Syed Aziz Shah,et al.  Seizure episodes detection via smart medical sensing system , 2018, J. Ambient Intell. Humaniz. Comput..

[35]  Cengiz Kahraman,et al.  Hospital Performance Assessment Using Interval-Valued Spherical Fuzzy Analytic Hierarchy Process , 2020 .

[36]  Harish Garg,et al.  Interval Valued Spherical Fuzzy Aggregation Operators and Their Application in Decision Making Problem , 2020 .

[37]  Sergey Kulik,et al.  Intelligent Information System for Telemedicine , 2020 .

[38]  Sajjan G. Shiva,et al.  IoMT-SAF: Internet of Medical Things Security Assessment Framework , 2019, Internet Things.

[39]  Amit Kumar Sikder,et al.  HealthGuard: A Machine Learning-Based Security Framework for Smart Healthcare Systems , 2019, 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS).

[40]  Moayad Aloqaily,et al.  An Authentic-Based Privacy Preservation Protocol for Smart e-Healthcare Systems in IoT , 2019, IEEE Access.

[41]  A. A. Zaidan,et al.  A Systematic Review for Enabling of Develop a Blockchain Technology in Healthcare Application: Taxonomy, Substantially Analysis, Motivations, Challenges, Recommendations and Future Direction , 2019, Journal of Medical Systems.

[42]  Guanglin Li,et al.  Medical Information Security for Wearable Body Sensor Networks in Smart Healthcare , 2019, IEEE Consumer Electronics Magazine.

[43]  Peide Liu,et al.  A Multi-attribute Decision-Making Approach Based on Spherical Fuzzy Sets for Yunnan Baiyao’s R&D Project Selection Problem , 2019, International Journal of Fuzzy Systems.

[44]  Pubudu N. Pathirana,et al.  A Mobile Cloud based IoMT Framework for Automated Health Assessment and Management , 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[45]  Cengiz Kahraman,et al.  A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets , 2019, Eng. Appl. Artif. Intell..

[46]  Tahir Mahmood,et al.  Evaluation of Investment Policy Based on Multi-Attribute Decision-Making Using Interval Valued T-Spherical Fuzzy Aggregation Operators , 2019, Symmetry.

[47]  Amr Mohamed,et al.  Edge-based compression and classification for smart healthcare systems: Concept, implementation and evaluation , 2019, Expert Syst. Appl..

[48]  Peide Liu,et al.  T-Spherical Fuzzy Power Muirhead Mean Operator Based on Novel Operational Laws and Their Application in Multi-Attribute Group Decision Making , 2019, IEEE Access.

[49]  Florentin Smarandache,et al.  A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection , 2019, Journal of Medical Systems.

[50]  Seyed Amin Seyfi Shishavan,et al.  Harmonic Mean Aggregation Operators in Spherical Fuzzy Environment and Their Group Decision Making Applications , 2019, J. Multiple Valued Log. Soft Comput..

[51]  Runtong Zhang,et al.  Some spherical linguistic Muirhead mean operators with their application to multi-attribute decision making , 2019, J. Intell. Fuzzy Syst..

[52]  Qaisar Khan,et al.  An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets , 2019, Neural Computing and Applications.

[53]  Harish Garg,et al.  Interval-Valued Pythagorean Fuzzy Maclaurin Symmetric Mean Operators in Multiple Attribute Decision Making , 2018, IEEE Access.

[54]  B. Ovbiagele,et al.  Tele-Rehabilitation after Stroke: An Updated Systematic Review of the Literature. , 2018, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

[55]  Higinio Mora,et al.  An Ontology-Oriented Architecture for Dealing With Heterogeneous Data Applied to Telemedicine Systems , 2018, IEEE Access.

[56]  Hongming Cai,et al.  Healthcare data analysis system for regional medical union in smart city , 2018, Journal of Management Analytics.

[57]  J. De Sutter,et al.  Economic and social impact of increased cardiac rehabilitation uptake and cardiac telerehabilitation in Belgium – a cost–benefit analysis , 2018, Acta cardiologica.

[58]  Vahagn C Nikolian,et al.  The role of telemedicine in postoperative care. , 2018, mHealth.

[59]  Ashok Kumar Das,et al.  LSCSH: Lattice-Based Secure Cryptosystem for Smart Healthcare in Smart Cities Environment , 2018, IEEE Communications Magazine.

[60]  Philip A. Catherwood,et al.  A Community-Based IoT Personalized Wireless Healthcare Solution Trial , 2018, IEEE Journal of Translational Engineering in Health and Medicine.

[61]  Yi Mu,et al.  Practical and secure telemedicine systems for user mobility , 2017, J. Biomed. Informatics.

[62]  Jan E. Gewehr,et al.  Smart Medical Information Technology for Healthcare (SMITH)* Data Integration based on Interoperability Standards , 2018 .

[63]  Mingzhe Jiang,et al.  Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach , 2018, Future Gener. Comput. Syst..

[64]  Žarko Rađenović,et al.  Integrated AHP-TOPSIS Method for the Assessment of Health Management Information Systems Efficiency , 2017 .

[65]  Sruthy Orozhiyathumana Agnisarman,et al.  Lessons learned from the usability assessment of home-based telemedicine systems. , 2017, Applied ergonomics.

[66]  R. Muirhead.  Some Methods applicable to Identities and Inequalities of Symmetric Algebraic Functions of n Letters , 1902 .