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  1. AU="Ting Shu"
  2. AU="Doria, Margaux"
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  1. Article ; Online: Investigation of patients’ access to EHR data via smart apps in Chinese Hospitals

    Ting Shu / Fan Xu / Hongxia Li / Wei Zhao

    BMC Medical Informatics and Decision Making, Vol 21, Iss S2, Pp 1-

    2021  Volume 5

    Abstract: Abstract Background Given that China has encouraged EHR usage in hospitals for more than a decade, patients’ access to their own EHR data is still not as widely utilized as expected. Methods We cultivated a survey with four categories and field ... ...

    Abstract Abstract Background Given that China has encouraged EHR usage in hospitals for more than a decade, patients’ access to their own EHR data is still not as widely utilized as expected. Methods We cultivated a survey with four categories and field interviews of measures to identify whether hospitals have already released EHR data to patients, inpatients or outpatients, the top EHR release contents and the most popular release software. Results Of the 1344 responding hospitals from 30 provinces nationwide, 41.37% of hospitals have already released their EHR data to patients, of which 97.12% are through smart apps. More than 91% of hospitals use WeChat, and 32.37% of hospitals developed their own standalone apps or use vendors’ apps. A total of 54.63% were released to both outpatients and inpatients, and the top release contents were all objective. A rough estimation is made that releasing EHR data to patients via smart apps may save the hospital 15.9 million RMB per year and patients 9.4 million RMB altogether. Conclusions EHR data release is believed to bring both patient and hospital cost savings and efficiency gains but is still considered spontaneous and requires legal support and government regulation.
    Keywords EHR data release ; Electronic health records ; Smart apps ; Cost saving ; Information security protection ; Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 027
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Prediction of adverse drug reactions based on knowledge graph embedding

    Fei Zhang / Bo Sun / Xiaolin Diao / Wei Zhao / Ting Shu

    BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-

    2021  Volume 11

    Abstract: Abstract Background Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is difficult to identify all ... ...

    Abstract Abstract Background Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is difficult to identify all possible ADRs of a drug before it is marketed. We developed a new model based on data mining technology to predict potential ADRs based on available drug data. Method Based on the Word2Vec model in Nature Language Processing, we propose a new knowledge graph embedding method that embeds drugs and ADRs into their respective vectors and builds a logistic regression classification model to predict whether a given drug will have ADRs. Result First, a new knowledge graph embedding method was proposed, and comparison with similar studies showed that our model not only had high prediction accuracy but also was simpler in model structure. In our experiments, the AUC of the classification model reached a maximum of 0.87, and the mean AUC was 0.863. Conclusion In this paper, we introduce a new method to embed knowledge graph to vectorize drugs and ADRs, then use a logistic regression classification model to predict whether there is a causal relationship between them. The experiment showed that the use of knowledge graph embedding can effectively encode drugs and ADRs. And the proposed ADRs prediction system is also very effective.
    Keywords Adverse Drug Reactions ; Knowledge Graph Embedding ; Word2Vec ; DrugBank ; Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 004
    Language English
    Publishing date 2021-02-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Lack of Association between YEASTONE Antifungal Susceptibility Tests and Clinical Outcomes of

    Wu, Ting-Shu / Lin, Jung-Fu / Cheng, Chun-Wen / Huang, Po-Yen / Yang, Jeng-How

    Journal of fungi (Basel, Switzerland)

    2023  Volume 9, Issue 2

    Abstract: The relation between antifungal susceptibility and treatment outcomes is not well-characterized. There is paucity of surveillance data for cerebrospinal fluid (CSF) isolates ... ...

    Abstract The relation between antifungal susceptibility and treatment outcomes is not well-characterized. There is paucity of surveillance data for cerebrospinal fluid (CSF) isolates of
    Language English
    Publishing date 2023-02-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof9020232
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  4. Article ; Online: Disseminated

    Lao, Chong Kei / Wu, Ting-Shu / Lin, Kuan-Yin / Lee, Ming-Hsun

    Journal of clinical tuberculosis and other mycobacterial diseases

    2022  Volume 27, Page(s) 100314

    Abstract: Disseminated nontuberculous mycobacterial infections are frequently recognized in patients living with human immunodeficiency virus/acquired immunodeficiency syndrome (AIDS) ... ...

    Abstract Disseminated nontuberculous mycobacterial infections are frequently recognized in patients living with human immunodeficiency virus/acquired immunodeficiency syndrome (AIDS) and
    Language English
    Publishing date 2022-04-12
    Publishing country England
    Document type Case Reports
    ISSN 2405-5794
    ISSN (online) 2405-5794
    DOI 10.1016/j.jctube.2022.100314
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  5. Article ; Online: Clinical manifestations and susceptibility of Scedosporium/Lomentospora infections at a tertiary medical centre in Taiwan from 2014 to 2021: A retrospective cohort study.

    Lao, Chong Kei / Ou, Jie-Hao / Fan, Yun-Chen / Wu, Ting-Shu / Sun, Pei-Lun

    Mycoses

    2023  Volume 66, Issue 10, Page(s) 923–935

    Abstract: Background: Scedosporiosis/lomentosporiosis is a globally emerging and crucial fungal infection. However, clinical data on Scedosporium/Lomentospora infections in Taiwan are scarce.: Objectives: This study aimed to explore the clinical ... ...

    Abstract Background: Scedosporiosis/lomentosporiosis is a globally emerging and crucial fungal infection. However, clinical data on Scedosporium/Lomentospora infections in Taiwan are scarce.
    Objectives: This study aimed to explore the clinical characteristics of Scedosporium/Lomentospora-infected patients and evaluate the susceptibility of these isolates to antifungal agents.
    Methods: The clinical features of Scedosporium/Lomentospora-infected patients at a tertiary teaching hospital in Northern Taiwan between 2014 and 2021 were retrospectively reviewed; isolates from these patients were identified to species level for antifungal susceptibility testing.
    Results: Among 44 patients, 27 (61.4%) had scedosporiosis/lomentosporiosis, whereas 17 (38.6%) were colonised with Scedosporium/Lomentospora species. Scedosporium apiospermum was the main coloniser; scedosporiosis was primarily caused by S. boydii. Trauma history, steroid and immunosuppressant use were the most common risk factors for developing these infections. Among 27 patients with scedosporiosis/lomentosporiosis, one was lost to follow-up and seven (7/26, 26.9%) died. Most patients with S. apiospermum infection have a history of trauma, leading to cutaneous, bone and ocular infections. Pulmonary, sinus and disseminated infections and mortality were frequently reported in patients with S. boydii infection. Voriconazole's minimum inhibitory concentration was low for S. boydii, S. apiospermum and S. aurantiacum. Caspofungin, micafungin and anidulafungin were active against S. boydii and S. apiospermum. A potentially novel Scedosporium species was identified in this study, with distinct clinical manifestations and antifungal susceptibility.
    Conclusions: At our centre, S. boydii is the main causative species of scedosporiosis; voriconazole could be the first-line treatment in Taiwan. Our study supports the importance of speciation, rather than only categorising these isolates into S. apiospermum species complex.
    MeSH term(s) Humans ; Antifungal Agents/pharmacology ; Antifungal Agents/therapeutic use ; Voriconazole/therapeutic use ; Scedosporium ; Retrospective Studies ; Taiwan/epidemiology ; Ascomycota
    Chemical Substances Antifungal Agents ; Voriconazole (JFU09I87TR)
    Language English
    Publishing date 2023-07-14
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 392487-7
    ISSN 1439-0507 ; 0933-7407
    ISSN (online) 1439-0507
    ISSN 0933-7407
    DOI 10.1111/myc.13632
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  6. Article ; Online: Trelagliptin relieved cognitive impairment of diabetes mellitus rats

    Min Lei / Xiying Guo / Yue Yao / Ting Shu / Zhanhong Ren / Xiaosong Yang / Changhan Ouyang / Qingjie Chen / Chao Liu / Xiufen Liu

    Experimental Gerontology, Vol 182, Iss , Pp 112307- (2023)

    Involvement of PI3K/Akt/GSK-3β and inflammation pathway

    2023  

    Abstract: Cognitive impairment frequently coexists with diabetes. Trelagliptin is a once-weekly taking selective dipeptidyl peptidase-4 (DPP-4) inhibitor and a long-term effective hypoglycemic medicine; nonetheless, its effects for the treatment of diabetes- ... ...

    Abstract Cognitive impairment frequently coexists with diabetes. Trelagliptin is a once-weekly taking selective dipeptidyl peptidase-4 (DPP-4) inhibitor and a long-term effective hypoglycemic medicine; nonetheless, its effects for the treatment of diabetes-related cognitive impairment have only sometimes been explored. In this study, a DM model was built using streptozotocin (STZ) and a high-fat diet (HFD). The morris water maze test on DM rats revealed a considerably reduced capacity for spatial learning and memory, but trelagliptin was able to restore function. Trelagliptin could lower the mRNA expression of inflammatory factors such IL-1β, TNF-α, and IL-6 in DM rats. It could also reduce the ratio of p-IKKα/IKKα, and the immunofluorescence result of NF-κB also demonstrated a drop. Trelagliptin partially restored dendritic spines and prevented the loss or shrinkage of neurons, respectively, according to the results of Nissl's staining and golgi staining. Furthermore, PI3K/Akt/GSK-3β has been activated, and synaptic plasticity has been modified during this process. In conclusion, trelagliptin improved the cognitive lesion in DM rats by suppressing the activation of the inflammatory route and by activating the PI3K/Akt/GSK-3β pathway at the same time, as well as interacting with the pathways that protect neurons, which still need further research.
    Keywords Trelagliptin ; Diabetes mellitus ; Cognitive impairment ; Learning and memory ; Inflammation ; Synaptic plasticity ; Medicine ; R ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
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  7. Article ; Online: Intraoral Digital Impression Technique: A Review.

    Ting-Shu, Su / Jian, Sun

    Journal of prosthodontics : official journal of the American College of Prosthodontists

    2014  Volume 24, Issue 4, Page(s) 313–321

    Abstract: With the techniques of computer-aided design and computer-aided manufacturing (CAD/CAM) being applied in the field of prosthodontics, a concept of intraoral digital impressions was put forward in the early 1980s. It has drawn comprehensive attention from ...

    Abstract With the techniques of computer-aided design and computer-aided manufacturing (CAD/CAM) being applied in the field of prosthodontics, a concept of intraoral digital impressions was put forward in the early 1980s. It has drawn comprehensive attention from dentists and has been used for dental prosthesis fabrication in a number of cases. This new digital impression technique is expected to bring about absolute digitization to the mode of prosthodontics. A few published articles have indicated that dental prostheses fabricated from intraoral digital impressions have exhibited remarkable advantages over those from conventional impressions in several respects. The present review discusses intraoral digital impression techniques in terms of the following aspects: (1) categories and principles of intraoral digital impression devices currently available; (2) operating characteristics of the devices; and (3) comparison of the manipulation, accuracy, and repeatability between intraoral digital impression and conventional impression.
    MeSH term(s) Computer-Aided Design ; Dental Impression Technique ; Humans
    Language English
    Publishing date 2014-09-14
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1197213-0
    ISSN 1532-849X ; 1059-941X
    ISSN (online) 1532-849X
    ISSN 1059-941X
    DOI 10.1111/jopr.12218
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  8. Article ; Online: Using NLP in openEHR archetypes retrieval to promote interoperability

    Bo Sun / Fei Zhang / Jing Li / Yicheng Yang / Xiaolin Diao / Wei Zhao / Ting Shu

    BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-

    a feasibility study in China

    2021  Volume 12

    Abstract: Abstract Background With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information sharing. The openEHR approach ...

    Abstract Abstract Background With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information sharing. The openEHR approach can improve semantic interoperability. One key improvement of openEHR is that it allows for the use of existing archetypes. The crucial problem is how to improve the precision and resolve ambiguity in the archetype retrieval. Method Based on the query expansion technology and Word2Vec model in Nature Language Processing (NLP), we propose to find synonyms as substitutes for original search terms in archetype retrieval. Test sets in different medical professional level are used to verify the feasibility. Result Applying the approach to each original search term (n = 120) in test sets, a total of 69,348 substitutes were constructed. Precision at 5 (P@5) was improved by 0.767, on average. For the best result, the P@5 was up to 0.975. Conclusions We introduce a novel approach that using NLP technology and corpus to find synonyms as substitutes for original search terms. Compared to simply mapping the element contained in openEHR to an external dictionary, this approach could greatly improve precision and resolve ambiguity in retrieval tasks. This is helpful to promote the application of openEHR and advance EHR information sharing.
    Keywords OpenEHR ; Nature language processing ; Information retrieval ; Interoperability ; Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 006
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
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  9. Article ; Online: Predictive Modeling of Lignin Content for the Screening of Suitable Poplar Genotypes Based on Fourier Transform–Raman Spectrometry

    Wenli Gao / Ting Shu / Qiang Liu / Shengjie Ling / Ying Guan / Shengquan Liu / Liang Zhou

    ACS Omega, Vol 6, Iss 12, Pp 8578-

    2021  Volume 8587

    Keywords Chemistry ; QD1-999
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher American Chemical Society
    Document type Article ; Online
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  10. Article: Hepatitis C accelerates extrahepatic cholangiocarcinoma risk: a joint study of hospital-based cases and nationwide population-based cohorts in a viral hepatitis-endemic area.

    Huang, Shu-Wei / Cheng, Jur-Shan / Chen, Wei-Ting / Wu, Ting-Shu / Ku, Hsin-Ping / Yeh, Chun-Nan / Chien, Rong-Nan / Chang, Ming-Ling

    American journal of cancer research

    2023  Volume 13, Issue 7, Page(s) 3080–3090

    Abstract: Hepatitis C virus (HCV) infection causes many cancers, including intrahepatic cholangiocarcinoma. Whether it increases the risk of extrahepatic cholangiocarcinoma (ECC) is unknown. A 10-year nationwide population-based cohort study of the Taiwan National ...

    Abstract Hepatitis C virus (HCV) infection causes many cancers, including intrahepatic cholangiocarcinoma. Whether it increases the risk of extrahepatic cholangiocarcinoma (ECC) is unknown. A 10-year nationwide population-based cohort study of the Taiwan National Health Insurance Research Database (TNHIRD) was conducted. ECC was defined by ICD-9-CM code 156 or ICD-O-3 code C23-24. Risk factors and HCV core protein expression were surveyed in patients with ECC from a tertiary-care center. Out of 11,892,067 patients, three propensity score-matched TNHIRD cohorts were matched at a 1:4:4 ratio: HCV-treated (8,331 patients with interferon-based therapy >6 months), HCV-untreated (n=33,324), and HCV-uninfected cohorts (n=33,324). The cumulative incidence of ECC [HCV-treated: 0.088%, 95% confidence interval (CI): 0.035-0.198%; HCV-untreated: 0.095%, 0.047-0.179%; HCV-uninfected: 0.048%, 0.017-0.119%] was lowest in the HCV-uninfected cohort (
    Language English
    Publishing date 2023-07-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2589522-9
    ISSN 2156-6976
    ISSN 2156-6976
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