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Auxiliary diagnostic system for ADHD in children based on AI technology Research

Yanyi Zhang, Ming Kong, Tianqi Zhao, Wenchen Hong, Di Xie, Chunmao Wang, Rongwang Yang, Rong Li, Qiang Zhu,doczyy1981@sina.com,zjukongming@zju.edu.cn,zhuq@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 3,   Pages 400-414 doi: 10.1631/FITEE.1900729

Abstract: Traditional diagnosis of in children is primarily through a questionnaire filled out by parents/teachersintegrate artificial intelligence (AI) technology into a software-hardware coordinated system to make ADHD diagnosisThis system has participated in clinical diagnosis in Department of Psychology, The Children’s Hospital

Keywords： Attention deficit hyperactivity disorder (ADHD)     Auxiliary diagnosis     Computer vision     Deep learning    

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“Medical-and-Care Wisdom Linkage” Pension Model Research and Exploration

Jin Xinyu,Xia Qi,Zhang Wei and Li Lanjuan

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 92-98 doi: 10.15302/J-SSCAE-2018.02.014

Abstract: proposes a "Medical-and-Care Wisdom Linkage" pension system with a large hospital for diagnosisAt the same time, the system uses new cloud-based artificial intelligence for diagnosis and rehabilitation

Keywords： “Medical-and-Care Wisdom Linkage”     wisdom endowment     Internet     artificial intelligence     auxiliary diagnosis    

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Strategic Study on the Development of Advanced Semiconductor Materials and Auxiliary Materials in China

Writing Group of Advanced Semiconductor Materials and Auxiliary Materials

Strategic Study of CAE 2020, Volume 22, Issue 5,   Pages 10-19 doi: 10.15302/J-SSCAE-2020.05.002

Abstract: strategic opportunity to realize the independent control over its advanced semiconductor materials and auxiliaryIn this paper, we analyze the development status of semiconductor materials and auxiliary materials inTo promote the development of advanced semiconductor materials and auxiliary materials in China, we suggestintegrated circuit; a platform that provides integrated tests for SiC and GaN semiconductor materials, auxiliary

Keywords： advanced semiconductor materials     auxiliary materials     third-generation semiconductor     2035    

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Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges

Frontiers of Medicine 2022, Volume 16, Issue 1,   Pages 10-16 doi: 10.1007/s11684-021-0889-7

Abstract: The prompt and precise diagnosis of symptomatic and asymptomatic carriers of Plasmodium parasitesof the China Malaria Elimination Action Plan in 2010, China has formulated clear goals for malaria diagnosisVarious external quality assessments were implemented, and a national malaria diagnosis reference laboratorynetwork was established to strengthen the quality assurance in malaria diagnosis.This review summarizes the lessons about malaria diagnosis in the elimination phase, primarily including

Keywords： malaria     laboratory diagnosis     quality control     malaria elimination     China    

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A new auxiliary information based cumulative sum median control chart for location monitoring Regular Papers

Shahid HUSSAIN, Li-xin SONG, Shabbir AHMAD, Muhammad RIAZ

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 554-570 doi: 10.1631/FITEE.1700428

Abstract: In this paper we propose several CUSUM median control charts based on auxiliary variables, and offer

Keywords： Average run length     Auxiliary information     CUSUM control charts     Location parameter     Median control charts    

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Biosensor-based assay of exosome biomarker for early diagnosis of cancer

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 157-175 doi: 10.1007/s11684-021-0884-z

Abstract: Therefore, early diagnosis of cancer is indispensable in the timely prevention and effective treatmentExosome has recently become an attractive cancer biomarker in noninvasive early diagnosis because ofsensitivity, and remarkable specificity, suggesting promising biomedical applications in the early diagnosisregarding the assay of exosomes were summarized, and the superiorities of exosomes as markers for the early diagnosisMoreover, the recent challenges and further opportunities of developing effective biosensors for the early diagnosis

Keywords： biosensor     exosome     cancer diagnosis    

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Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 226-232 doi: 10.1007/s11709-008-0027-5

Abstract: The experimental results indicate that the result of the tomographic diagnosis of a single defect isDefects with the orientation perpendicular to the direction of the diagnosis may have higher precision

Keywords： satisfactory     processing     orientation     tomographic diagnosis     orientation perpendicular    

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convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault diagnosis

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery.However, the inexplicability and low generalization ability of fault diagnosis models still bar themneural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical fault diagnosisadvantages in 1) the hierarchical structure that can support more accuracy and comprehensive fault diagnosisThe multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0689-z

Abstract: However, they have not been introduced into gas face seal diagnosis tasks because of the unacceptable

Keywords： surrogate model     gas face seal     fault diagnosis     nonlinear dynamics     tribology    

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: Therefore, performing fault monitoring and diagnosis on the traction system of the HST is necessary.Machine learning has made considerably advancements in traction system fault diagnosis; however, a comprehensiveaims to review the research and application of machine learning in the field of traction system fault diagnosisThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelyFinally, the challenges for accurate fault diagnosis under actual operating conditions are revealed,

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 275-279 doi: 10.1007/s11684-010-0101-y

Abstract: In the investigations of immunopathogenesis, diagnosis, and treatment of RSA since the late 1980s, itSystemic etiological screening process and diagnosis systems of RSA with immune type were developed,and anticardiolipin (ACL or ACA) + anti-β2-GP1 antibody combining multiple assays for effective diagnosisThe research achievement leads to great progress in the diagnosis and treatment of RSA in China.

Keywords： spontaneous abortion     recurrent     autoimmune     alloimmune     pathogenesis     diagnosis     immunotherapy    

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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: approaches based on artificial neural network and fuzzy algorithm for plant machinery, such as the diagnosismethod using the wavelet transform, rough sets, and fuzzy neural network; the diagnosis method basedon the sequential inference and fuzzy neural network; the diagnosis approach by the possibility theoryand certainty factor model; and the diagnosis method on the basis of the adaptive filtering techniqueThese intelligent diagnostic methods have been successfully applied to condition diagnosis in different

Keywords： intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

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Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3

Abstract: Gearbox fault diagnosis based on vibration sensing has drawn much attention for a long time.Numerical simulation and experimental results demonstrate the proposed method can realize gear fault diagnosisThe identified GMS has a clear physical meaning and is thus very useful for fault diagnosis of the complicated

Keywords： gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

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Current situation and development of prenatal diagnosis in China

Xu-Ming BIAN, Qi GUO, Qing-Wei QI

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 271-274 doi: 10.1007/s11684-010-0100-z

Abstract: Prenatal screening and diagnosis are major methods for control of birth defects, which is a very importantHere, we review current situation and development of prenatal screening and diagnosis in mainland China, including prenatal screening and prenatal diagnosis of fetal chromosome abnormalities, non-invasiveprenatal diagnostic techniques and prenatal diagnosis of monogenic diseases, polygenic disease and congenitalepidemiology of birth defects and genetic diseases in China and related ethical issues of prenatal diagnosis

Keywords： prenatal diagnosis     prenatal screening     China    

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 829-839 doi: 10.1007/s11465-021-0652-4

Abstract: Existing fault diagnosis methods usually assume that there are balanced training data for every machineIt will degrade the performance of fault diagnosis methods significantly.To address this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-basedconvolution is performed on the constructed SuperGraph to achieve imbalanced training dataset fault diagnosisplatform, and the results show that the proposed method can effectively achieve rotating machinery fault diagnosis

Keywords： imbalanced fault diagnosis     graph feature learning     rotating machinery     autoencoder    

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Title Author Date Type Operation

Auxiliary diagnostic system for ADHD in children based on AI technology

Yanyi Zhang, Ming Kong, Tianqi Zhao, Wenchen Hong, Di Xie, Chunmao Wang, Rongwang Yang, Rong Li, Qiang Zhu,doczyy1981@sina.com,zjukongming@zju.edu.cn,zhuq@zju.edu.cn

Journal Article

“Medical-and-Care Wisdom Linkage” Pension Model Research and Exploration

Jin Xinyu,Xia Qi,Zhang Wei and Li Lanjuan

Journal Article

Strategic Study on the Development of Advanced Semiconductor Materials and Auxiliary Materials in China

Writing Group of Advanced Semiconductor Materials and Auxiliary Materials

Journal Article

Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges

Journal Article

A new auxiliary information based cumulative sum median control chart for location monitoring

Shahid HUSSAIN, Li-xin SONG, Shabbir AHMAD, Muhammad RIAZ

Journal Article

Biosensor-based assay of exosome biomarker for early diagnosis of cancer

Journal Article

Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Journal Article

convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault diagnosis

Journal Article

Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

Journal Article

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article

Current situation and development of prenatal diagnosis in China

Xu-Ming BIAN, Qi GUO, Qing-Wei QI

Journal Article

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Journal Article