With the development of digital economy, Metaverse has gained wide attention being infrastructure next-generation internet. Medical and health informatics holds a promising future in Metaverse. This study leverages bibliometric analysis over 34 thousand Metaverse-related publications 22 years to propose novel concept called Health We applied methods Zipf’s Law, Bradford’s Lotka’s Law respectively explore research framework, challenges application Four perspectives, namely knowledge,...

Background: The internet has become a major mean for acquiring health information; however, Web-based information is of mixed quality and may markedly affect patients’ health-related behavior decisions. According to the social processing theory, trust in their physicians potentially change due health-information-seeking behavior. Therefore, it important identify relationship between patient compliance from perspective trust.

The proposed q-rung orthopair fuzzy set (q-ROFS) and picture (PIFS) are two powerful tools for depicting fuzziness uncertainty. This paper proposes a new tool, called linguistic (q-RPLS) to deal with vagueness impreciseness in multi-attribute group decision-making (MAGDM). q-RPLS takes full advantages of q-ROFS PIFS reflects decision-makers’ quantitative qualitative assessments. To effectively aggregate information, we extend the classic Heronian mean (HM) q-RPLSs propose family operators,...

Background: In China, the utilization of medical resources is tense, and most hospitals are highly congested because large population uneven distribution resources. Online health communities (OHCs) play an important role in alleviating hospital congestions, thereby improving relieving resource shortages. OHCs have positive effects on physician-patient relationships outcomes. Moreover, as one main ways for patients to seek health-related information OHCs, communication may affect patient...

The Pythagorean fuzzy set as an extension of the intuitionistic characterized by membership and nonmembership degrees has been introduced recently. Accordingly, square sum is a maximum one. previously applied to multiattribute group decision-making. This study develops few aggregation operators for fusing information, novel approach decision-making based on proposed operators. First, we extend generalized Bonferroni mean environment introduce geometric mean. Second, new generalization mean,...

Recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to describe fuzziness, uncertainty vagueness. The prominent feature of q-ROFS that the sum square membership non-membership degrees are allowed be greater than one with qth pow er degree power less or equal one. This characteristic makes more useful intuitionistic (IFS) Pythagorean (PFS). aim this paper develop some aggregation operators for fusing information. As Muirhead mean (MM) considered as...

(1) Background: As people pay more attention to health, mobile health applications (mHealth apps) are becoming popular. These apps offer services that run on devices help improve users' behaviors. However, few studies explore what motivates users continue use these apps. This study proposes antecedents influencing electronic satisfaction (e-satisfaction) and their continued behaviors of using mHealth Based the extended Unified Theory Acceptance Use Technology (UTAUT2), this constructs a...

Mobile health applications (mHealth apps) have created innovative service channels for patients with chronic diseases. These require physicians to actively use mHealth apps. However, few studies investigate physicians' participation in apps.This study aims empirically explore factors affecting usage behaviors of Based on the extended Unified Theory Acceptance and Use Technology (UTAUT2) apps features, we propose a research model including altruism, cognitive trust, online ratings.We...

The recently proposed q-rung orthopair fuzzy set (q-ROFS) characterized by a membership degree and non-membership is powerful tool for handling uncertainty vagueness.This paper proposes the concept of linguistic (q-ROLS) combining term sets with q-ROFSs.Thereafter, we investigate multi-attribute group decision making (MAGDM) information.To aggregate numbers ( q-ROLNs), extend Heronian mean (HM) to q-ROLSs propose family operators, such as (q-ROLHM) operator, weighted (q-ROLWHM) geometric...

In respect to the multi-attribute group decision making (MAGDM) problems in which evaluated value of each attribute is form q-rung orthopair fuzzy numbers (q-ROFNs), a new approach MAGDM developed. Firstly, aggregation operator, called partitioned Maclaurin symmetric mean (PMSM) proposed deal with situations where attributes are into different parts and there interrelationships among multiple same part whereas not related. Some desirable properties PMSM investigated. Then, order aggregate...

As an extension of the intuitionistic fuzzy set (IFS), recently proposed picture (PFS) is more suitable to describe decision-makers’ evaluation information in decision-making problems. Picture aggregation operators are high importance multi-attribute (MADM) within a environment. Hence, this paper our main work introduce novel operators. Firstly, we propose new operational rules based on Dombi t-conorm and t-norm (DTT). Secondly, considering existence broad widespread correlation between...

The sum of membership and non-membership degrees the Pythagorean fuzzy set is greater than one with their square less or equal to one. Thus, as an extension intuitionistic set, a powerful tool describe fuzziness uncertainty. aim this s tudy introduce some new operators for aggregating information apply them multi-attribute decision making. Considering advantages power average operator Muirhead mean, we mean investigate it under environment. aggregation operators, such weighted are developed....

Background eHealth literacy is significantly associated with patients’ online information behavior, physician-patient relationship, patient adherence, and health outcomes. As an important product of the internet, communities (OHCs) can help redistribute idle medical resources, increase resource utilization, improve adherence. However, studies on in OHCs are limited. Therefore, this study examined regarding information–seeking behavior communication OHCs. Objective This aimed to investigate...

Pythagorean fuzzy set (PFS) whose main feature is that the square sum of membership degree and non-membership equal to or less than one, a powerful tool express fuzziness uncertainty. The aim this paper investigate aggregation operators numbers (PFNs) based on Frank t-conorm t-norm. We first extend t-norm environments develop several new operational laws PFNs, which we propose two operators, such as Choquet–Frank averaging operator (PFCFA) geometric (PFCFG). Moreover, some desirable...

The accumulation of medical documents in China has rapidly increased the past years. We focus on developing a method that automatically performs ICD-10 code assignment to Chinese diagnoses from electronic records support coding process hospitals. propose two encoding methods: one directly determines desired (flat method), and hierarchically most suitable until is obtained (hierarchical method). Both methods are based instances standard diagnostic library, gold dataset China. For first time,...

Train running performance largely depends on the controller. In order to improve controller of speed profile tracking, an adaptive control method for subway trains is addressed in this paper. Considered time-varying parameters train motion, model with dynamic constructed. The free combined neural network and proportional-integral-derivative (PID) algorithm proposed realize control. laws parameter tuning are both illustrated, PID gain range actuator saturation taken into consideration....

This article investigates the feasibility of applying broad learning system (BLS) to realize a novel Takagi–Sugeno–Kang (TSK) neuro-fuzzy model, namely based dynamic fuzzy inference (BL-DFIS). It not only improves accuracy and interpretability models but also solves challenging problem that are incapable determining optimal architecture autonomously. BL-DFIS first accomplishes TSK under framework BLS, in which an extreme machine auto-encoder is employed obtain feature representation fast...