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  1. Article: The Yale Food Addiction Scale 2.0 and the modified Yale Food Addiction Scale 2.0 in Taiwan: Factor structure and concurrent validity.

    Chen, I-Hua / Huang, Po-Ching / Lin, Yi-Ching / Gan, Wan Ying / Fan, Chia-Wei / Yang, Wen-Chi / Tung, Serene En Hui / Poon, Wai Chuen / Griffiths, Mark D / Lin, Chung-Ying

    Frontiers in psychiatry

    2022  Volume 13, Page(s) 1014447

    Abstract: Introduction: The most widely used instruments to assess food addiction - the Yale Food Addiction ...

    Abstract Introduction: The most widely used instruments to assess food addiction - the Yale Food Addiction Scale 2.0 (YFAS 2.0) and its modified version (mYFAS 2.0) - have not been validated in a Taiwanese population. The present study compared the psychometric properties between the Taiwan versions of YFAS 2.0 and mYFAS 2.0 among university students.
    Methods: An online survey comprising the YFAS 2.0, mYFAS 2.0, Weight Self-Stigma Questionnaire (WSSQ) and International Physical Activity Questionnaire-Short Form (IPAQ-SF) were used to assess food addiction, self-stigma, and physical activity.
    Results: All participants (
    Discussion: Based on the findings, the Taiwan versions of the YFAS 2.0 and mYFAS 2.0 appear to be valid and reliable instruments assessing food addiction.
    Language English
    Publishing date 2022-11-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564218-2
    ISSN 1664-0640
    ISSN 1664-0640
    DOI 10.3389/fpsyt.2022.1014447
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Acute pericarditis due to COVID-19 infection: An underdiagnosed disease?

    Tung-Chen, Yale

    Medicina clinica (English ed.)

    2020  Volume 155, Issue 1, Page(s) 44–45

    Keywords covid19
    Language English
    Publishing date 2020-07-03
    Publishing country Spain
    Document type Journal Article
    ISSN 2387-0206
    ISSN (online) 2387-0206
    DOI 10.1016/j.medcle.2020.06.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Acute pericarditis due to COVID-19 infection: An underdiagnosed disease?

    Tung-Chen, Yale

    Medicina clinica

    2020  Volume 155, Issue 1, Page(s) 44–45

    MeSH term(s) Acute Disease ; Adult ; Betacoronavirus/isolation & purification ; COVID-19 ; COVID-19 Testing ; Clinical Laboratory Techniques ; Coronavirus Infections/complications ; Coronavirus Infections/diagnosis ; Female ; Humans ; Missed Diagnosis ; Pandemics ; Pericarditis/diagnosis ; Pericarditis/virology ; Pneumonia, Viral/complications ; Pneumonia, Viral/diagnosis ; SARS-CoV-2
    Keywords covid19
    Language Spanish
    Publishing date 2020-05-04
    Publishing country Spain
    Document type Case Reports ; Letter
    ZDB-ID 411607-0
    ISSN 1578-8989 ; 0025-7753
    ISSN (online) 1578-8989
    ISSN 0025-7753
    DOI 10.1016/j.medcli.2020.04.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Lung ultrasound in the monitoring of COVID-19 infection.

    Tung-Chen, Yale

    Clinical medicine (London, England)

    2020  Volume 20, Issue 4, Page(s) e62–e65

    Abstract: Introduction: Coronavirus disease 2019 (COVID-19) is a highly contagious illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Pneumonia and acute respiratory distress syndrome (ARDS) are the most common severe complications. ... ...

    Abstract Introduction: Coronavirus disease 2019 (COVID-19) is a highly contagious illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Pneumonia and acute respiratory distress syndrome (ARDS) are the most common severe complications. There is growing evidence regarding the imaging findings of COVID-19 in chest X-rays and computed tomography (CT); however, their availability to clinical staff in this pandemic outbreak might be compromised. At this moment, the role of lung ultrasound (LUS) has yet to be explored. The purpose of this case report is to describe the natural course of the disease in mild infection managed at home.
    Case report: We report a 35-year-old man with recently diagnosed COVID-19 infection. Clinical examination was unremarkable. The diagnosis of mild disease was made clinically which was later reaffirmed by LUS after identifying a bilateral small pleural effusion and a thickened pleural line. During follow up, subpleural consolidations appeared before symptoms slightly aggravated (cough, tiredness and fever). The patient's condition improved after adjustment of therapy at home.
    Conclusion: LUS is an excellent tool in the characterisation of COVID-19 infection and is more available than CT or X-ray. We emphasise the utility and the opportunity that LUS presents in some clinical scenarios, like this COVID-19 pandemic, and how it may serve as a monitoring and therapy guide.
    MeSH term(s) Adult ; Betacoronavirus/isolation & purification ; COVID-19 ; Coronavirus Infections/diagnosis ; Coronavirus Infections/physiopathology ; Coronavirus Infections/therapy ; Health Services Accessibility ; Home Care Services/organization & administration ; Humans ; Lung/diagnostic imaging ; Male ; Monitoring, Physiologic/methods ; Pandemics ; Pleural Effusion/diagnosis ; Pleural Effusion/etiology ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/physiopathology ; Pneumonia, Viral/therapy ; Point-of-Care Systems ; SARS-CoV-2 ; Severity of Illness Index ; Symptom Assessment/methods ; Treatment Outcome ; Ultrasonography/methods
    Keywords covid19
    Language English
    Publishing date 2020-05-12
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 2048646-7
    ISSN 1473-4893 ; 1470-2118
    ISSN (online) 1473-4893
    ISSN 1470-2118
    DOI 10.7861/clinmed.2020-0123
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Respuesta a «Análisis comparativo de la radiografía de tórax y la ecografía pulmonar para predecir el pronóstico intrahospitalario de pacientes ingresados por neumonía secundaria a SARS-CoV-2 (COVID-19)».

    Gil-Rodrigo, Adriana / Tung-Chen, Yale / Llamas-Fuentes, Rafael

    Medicina clinica

    2023  Volume 161, Issue 7, Page(s) 314–315

    Title translation Reply to "Comparative analysis of chest radiography and lung ultrasound to predict intra-hospital prognosis of patients admitted for acute SARS-CoV-2 pneumonia (COVID-19)".
    MeSH term(s) Humans ; COVID-19/complications ; COVID-19/diagnostic imaging ; COVID-19/therapy ; Lung/diagnostic imaging ; Pneumonia/diagnostic imaging ; Pneumonia/etiology ; Pneumonia/virology ; Prognosis ; SARS-CoV-2 ; Radiography, Thoracic ; Ultrasonography ; Hospitalization
    Language Spanish
    Publishing date 2023-04-21
    Publishing country Spain
    Document type Comparative Study ; Letter ; Comment
    ZDB-ID 411607-0
    ISSN 1578-8989 ; 0025-7753
    ISSN (online) 1578-8989
    ISSN 0025-7753
    DOI 10.1016/j.medcli.2023.02.021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Acute pericarditis due to COVID-19 infection

    Tung-Chen, Yale

    Medicina Clínica (English Edition)

    An underdiagnosed disease?

    2020  Volume 155, Issue 1, Page(s) 44–45

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ISSN 2387-0206
    DOI 10.1016/j.medcle.2020.06.001
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Acute pericarditis due to COVID-19 infection

    Tung-Chen, Yale

    Medicina Clínica

    An underdiagnosed disease?

    2020  Volume 155, Issue 1, Page(s) 44–45

    Keywords General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 411607-0
    ISSN 1578-8989 ; 0025-7753
    ISSN (online) 1578-8989
    ISSN 0025-7753
    DOI 10.1016/j.medcli.2020.04.007
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Artificial intelligence for predicting pulmonary embolism: A review of machine learning approaches and performance evaluation.

    Puchades, Ramón / Tung-Chen, Yale / Salgueiro, Giorgina / Lorenzo, Alicia / Sancho, Teresa / Fernández Capitán, Carmen

    Thrombosis research

    2023  Volume 234, Page(s) 9–11

    MeSH term(s) Humans ; Artificial Intelligence ; Machine Learning
    Language English
    Publishing date 2023-12-08
    Publishing country United States
    Document type Review ; Letter
    ZDB-ID 121852-9
    ISSN 1879-2472 ; 0049-3848
    ISSN (online) 1879-2472
    ISSN 0049-3848
    DOI 10.1016/j.thromres.2023.12.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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