Editorial: Special Issue on the Future of Cognitive Computing in Healthcare
Authors: Ranganathan Mohanasundaram , Suresh Kumar N. 
Published: December 2022

Abstract
This Journal of Testing and Evaluation special issue integrates computer science/information technology with health science and services, embracing information science research coupled with topics related to the modeling, design, development, integration, and management of health information systems. This special issue highlights the unique areas of human-centered artificial intelligence with healthcare applications and various innovations in multidiscipline areas and also presents some technical evidence and its countermeasure. This special issue aims to identify the emerging technology in various domains with healthcare in all related areas. It consists of up-to-date, state-of-the-art research contributions with novel design and developments of intelligent application, perception, and security methods in healthcare artificial intelligence in order to enhance the reliability and feasibility of healthcare in real-world applications. The first three papers by Wei Qin, Peihua Liu, and Juan Chen deal with the development of the healthcare and leisure industries, health of badminton player performance based on machine learning, and development of online preschool education resources and background. Pingli Ren’s article proposes a local path planning method based on model predictive control to address the obstacle voidance problem of driverless vehicles in the hospital environment. Weiwei Liu reviews problems and countermeasures of sharing ideas of the effectiveness of ideological and political course teaching in the health perspective of colleges and universities. Xiaozhou Zhou’s article provides a possible cognitive clue on materials. The experimental results provide reference for medical product design. Xin Zhou, Jianjun Li, and Yuanyuan Kang concentrate on the response of bio-characteristics of subway vibration load based on finite element methods, medical graphic-aided visual elements active communication algorithm in print advertising, and comprehensive discrimination method of fluid phase behavior in low-permeability reservoir for blood flow modeling. Xiaocui Lu focuses on the identification method of conductance fluctuation signal of fiber Bragg grating biosensor. Shilong Zhang proposes a data collection strategy of a distributed network based on linear regression analysis, constructs a perceptual unconventional mutation data model by applying linear regression analysis method, and maintains the characteristics of perceptual data to realize data collection. Xi Yang’s article deals with an analysis method based on fuzzy integral that was proposed to analyze the features of digital broadcast bio-signals. Jun Tian’s paper concentrates on the stochastic limit equilibration-material point method, which is used to study the dynamic evolution process of different failure modes of slope under the condition that the slope parameters are not uniformly distributed in the space of a hospital environment. Bo Wang addresses the energy-saving configuration of embedded sensor transfer nodes in the Internet of Things (IoT) for dust movement monitoring in atmospheric environment from the heath perspective. Hyung-Hyo Lee, Zhu Mei, and Zhijun Ma concentrate on privacy protection schemes in medical electronic health records based on blockchain and asymmetric encryption, three-dimensional image analysis of sports technical features and sports training methods based on artificial intelligence, and overseas surgical warehouse location of a cross-border medical supply chain network based on parallel big data mining. Xiuying Yang, Ning Jia, and Yang Lv deal with the design of an IoT information interactive perception system based on fifth-generation (5G) mobile communication technology in a hospital network, medical data cloud information storage encryption based on fuzzy-particle swarm optimization, and design of an automatic monitoring model for real-time data flow in a network based on fuzzy-clustering analysis for health analysis. Yingying Mao’s article focuses on the hybrid particle-size algorithm for classification of hygienic fruit and vegetable images based on the convolution neural network from a health perspective. Haiying Zhang proposes pressure sensors to assess the force exerted by each foot during walking. A fuzzy algorithm is implemented on a smartphone and used to detect each of the gait phases based on the sensor signals. Additionally, to provide a solution that is insensitive to perturbations caused by non-walking activities, a probabilistic classifier is employed to discriminate walking forward from other low-level activities such as turning, walking backwards, lateral walking, etc. The papers by Chunqing Xuan, Fei Yin, Xiaorui Liu, and Heru Xue address the design of wireless sensor network data-acquisition systems via health sensors based on symmetric encryption algorithm, anti-malicious attacks of wireless sensor hospital networks based on an improved particle swarm optimization algorithm, intelligent visual path selections for health industry robots based on data mining, and predictions of milk protein content in milk for health hygiene based on hyperspectral and convolutional neural network. Chao Deng, Ying Chen, and Guangbin Wang concentrate on technical repair methods of Poyang bodiless lacquerware based on the scale-invariant feature transform algorithm for healthcare vision, long-term evolution-5G data transmission based on gray fuzzy Bayesian networks to monitor health parameters, and layered defogging for a remote-sensing image based on meteorological load factors. Jing Cheng’s article focuses on data aggregation algorithms of sensor network nodes for health monitoring based on fuzzy clustering, and Nannan Zhao proposes an improved method of cloud-computing data-protection technology based on a symmetric encryption algorithm. According to the characteristics of cloud computing, a trusted communication channel for virtual machine monitoring is established on users and servers.