Data Fusion in Forecasting Medical Demands based on Spectrum of Post-Earthquake Diseases

Fang, Jiaqi; Hou, Hanping; Bi, Zhuming; Jin, Dongzhen; Han, Lu; Yang, Jimei; Dai, Shilan

doi:10.1016/j.jii.2021.100235

Cited by 10 publications

(3 citation statements)

References 60 publications

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“…Evaluation methods are used to measure output performance and estimate expectations in various fields [28][29][30][31]. Most of the research on curriculum evaluation focuses on the establishment of evaluation dimensions and index systems at present [32][33][34][35][36].…”

Section: Curriculum Evaluation Methodsmentioning

confidence: 99%

Interdisciplinary Teaching Reform of Financial Engineering Majors Based on the Analytic Hierarchy Process in the Post-Pandemic Era

2023

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In the post-epidemic era, the labor market has become increasingly complex, making it even more crucial to incorporate sustainability into employment demand. As we enter the post-pandemic era, a globalization trend has become more apparent. It is crucial to modernize employability through educational reform in order to assist employees in enhancing their professional skills. This study began by analyzing the importance of financial engineering practice instruction and graduate employability in the post-epidemic era. Second, the study proposed the content and a plan for inter-disciplinary teaching reform to address talent cultivation needs based on labor market requirements. Third, a face-to-face survey and interview were conducted with students affected by changes in teaching, and the results were analyzed and summarized. On this basis, the impact of education reform was evaluated using both the expert scoring method and the analytic hierarchy approach. The results indicated that the suggested financial engineering teaching reform program improved the school’s discipline strength, enrollment rate, employment rate, and competition awards, especially discipline strength. This research can be used to inform the teaching of financial engineering majors in various countries, assist job candidates in enhancing their professional skills, and build a formidable talent pool for the labor market.

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Section: Curriculum Evaluation Methodsmentioning

confidence: 99%

Interdisciplinary Teaching Reform of Financial Engineering Majors Based on the Analytic Hierarchy Process in the Post-Pandemic Era

2023

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“…Markov chain is one of the most abundant models for capturing dynamic evolution behavior of random nature. It is of great significance in many branches of science, engineering, and other fields [ 19 , 20 ], including physics [ 21 , 22 ], industrial control [ 23 , 24 ], reliability analysis [ 25 ] optimization analysis [ 26 ], decision analysis [ 27 , 28 ], and economics [ 29 ]. The above literature shows that the freight structure is predictable, and the Markov chain model has a good predictive ability.…”

Section: Literature Reviewmentioning

confidence: 99%

An optimal control theory approach for freight structure path evolution post-COVID-19 pandemic

Fang³

et al. 2023

Socio-Economic Planning Sciences

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“…Data fusion techniques can combine information from multiple sources to obtain more comprehensive data through complementary information. The results of research in several fields have shown that models built using data fusion strategies embody more accurate detection and utility than models built with data from a single source [ 32 , 33 , 34 , 35 ].…”

Section: Data Fusion Technologymentioning

confidence: 99%

Application of Data Fusion in Traditional Chinese Medicine: A Review

Huang,

Ma,

Dai

et al. 2023

Sensors

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Traditional Chinese medicine is characterized by numerous chemical constituents, complex components, and unpredictable interactions among constituents. Therefore, a single analytical technique is usually unable to obtain comprehensive chemical information. Data fusion is an information processing technology that can improve the accuracy of test results by fusing data from multiple devices, which has a broad application prospect by utilizing chemometrics methods, adopting low-level, mid-level, and high-level data fusion techniques, and establishing final classification or prediction models. This paper summarizes the current status of the application of data fusion strategies based on spectroscopy, mass spectrometry, chromatography, and sensor technologies in traditional Chinese medicine (TCM) in light of the latest research progress of data fusion technology at home and abroad. It also gives an outlook on the development of data fusion technology in TCM analysis to provide references for the research and development of TCM.

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Data Fusion in Forecasting Medical Demands based on Spectrum of Post-Earthquake Diseases

Cited by 10 publications

References 60 publications

Interdisciplinary Teaching Reform of Financial Engineering Majors Based on the Analytic Hierarchy Process in the Post-Pandemic Era

Interdisciplinary Teaching Reform of Financial Engineering Majors Based on the Analytic Hierarchy Process in the Post-Pandemic Era

An optimal control theory approach for freight structure path evolution post-COVID-19 pandemic

Application of Data Fusion in Traditional Chinese Medicine: A Review

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