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  1. Article ; Online: Hydrogen inhalation therapy for inflammation and eye diseases: a review of the literature.

    Takefuji, Yoshiyasu

    Eye (London, England)

    2024  

    Language English
    Publishing date 2024-04-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 91001-6
    ISSN 1476-5454 ; 0950-222X
    ISSN (online) 1476-5454
    ISSN 0950-222X
    DOI 10.1038/s41433-024-03083-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Impact of COVID-19 on arthritis with generative AI.

    Takefuji, Yoshiyasu

    International immunopharmacology

    2024  Volume 133, Page(s) 112032

    Abstract: Objective: The study aims to examine the effects of the COVID-19 pandemic on the prevalence of arthritis in the US using a specific generative AI tool.: Methods: The AI tool with Bing.com/copilot, designed to generate Python code, uses data from the ... ...

    Abstract Objective: The study aims to examine the effects of the COVID-19 pandemic on the prevalence of arthritis in the US using a specific generative AI tool.
    Methods: The AI tool with Bing.com/copilot, designed to generate Python code, uses data from the Centers for Disease Control and Prevention (CDC) to visualize trends and uncover insights in four key areas: (1) The prevalence of arthritis in adults aged 18 years and older who have diabetes, (2) The prevalence of fair or poor health in adults aged 18 years and older who have arthritis, (3) The prevalence of activity limitations due to arthritis in adults aged 18 years and older with doctor-diagnosed arthritis, (4) The prevalence of arthritis in adults aged 18 years and older who are obese. This research did not require approval from an institutional review board or an ethics committee.
    Results: The findings reveal a significant decline in the prevalence of arthritis among adults with conditions such as diabetes and obesity during the COVID-19 pandemic. There was also an observed improvement in activity limitations among patients with doctor-diagnosed arthritis.
    Conclusion: The study highlights the potential impact of the pandemic on chronic disease management, particularly arthritis. It underscores the importance of continued monitoring and care for patients with arthritis, especially during a global health crisis like the COVID-19 pandemic. The use of AI tools in generating insights from health data proves to be valuable in this context.
    Language English
    Publishing date 2024-04-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2043785-7
    ISSN 1878-1705 ; 1567-5769
    ISSN (online) 1878-1705
    ISSN 1567-5769
    DOI 10.1016/j.intimp.2024.112032
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Exploring the connection between frailty and cardiovascular diseases.

    Takefuji, Yoshiyasu

    Archives of gerontology and geriatrics

    2024  Volume 124, Page(s) 105449

    Abstract: This study explores the significant correlation between frailty and an elevated risk of mortality in COVID-19 patients, suggesting that increased frailty screening could enhance disease management and optimize resource distribution. An analysis of peer- ... ...

    Abstract This study explores the significant correlation between frailty and an elevated risk of mortality in COVID-19 patients, suggesting that increased frailty screening could enhance disease management and optimize resource distribution. An analysis of peer-reviewed papers on frailty and cardiovascular diseases (CVD) over a ten-year period reveals a peak of 4480 articles from September 2021 to September 2022. The literature review conducted on frailty and CVD highlights the high prevalence of frailty in older adults with CVD and its role as a predictor of cardiovascular death. The study suggests that frailty can inform treatment decisions, offering more personalized care. However, standardizing frailty assessment in clinical practice and trials is needed. The impact of frailty on coronary artery disease, peripheral artery disease, and atrial fibrillation requires further research. The study also discusses the increasing global burden of CVD among older adults due to aging populations and improved care. It highlights the challenges posed by older age, multiple comorbidities, polypharmacy, frailty, and adverse noncardiovascular outcomes. The review focuses on geriatric conditions that significantly impacted health status, quality of life, and overall prognosis. The study concludes that frailty significantly increases the risk of CVD events and major adverse cardiovascular events in older adults without prior CVD. Screening for frailty could help identify those at higher risk and facilitate targeted preventive measures.
    Language English
    Publishing date 2024-04-22
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 603162-6
    ISSN 1872-6976 ; 0167-4943
    ISSN (online) 1872-6976
    ISSN 0167-4943
    DOI 10.1016/j.archger.2024.105449
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Frailty and eye diseases: a review of the literature.

    Takefuji, Yoshiyasu

    Eye (London, England)

    2023  Volume 38, Issue 4, Page(s) 648

    MeSH term(s) Humans ; Frailty ; Eye Diseases
    Language English
    Publishing date 2023-09-28
    Publishing country England
    Document type Review ; Journal Article
    ZDB-ID 91001-6
    ISSN 1476-5454 ; 0950-222X
    ISSN (online) 1476-5454
    ISSN 0950-222X
    DOI 10.1038/s41433-023-02770-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Impact of COVID-19 on mortality under 5 years old.

    Takefuji, Yoshiyasu

    Pediatric research

    2023  Volume 94, Issue 5, Page(s) 1592

    MeSH term(s) Child, Preschool ; Humans ; COVID-19/mortality ; Child Mortality
    Language English
    Publishing date 2023-04-17
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 4411-8
    ISSN 1530-0447 ; 0031-3998
    ISSN (online) 1530-0447
    ISSN 0031-3998
    DOI 10.1038/s41390-023-02612-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 373: Show issues

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  6. Article ; Online: Impact of COVID-19 on mental health in the US with generative AI.

    Takefuji, Yoshiyasu

    Asian journal of psychiatry

    2023  Volume 88, Page(s) 103736

    Abstract: This paper investigates the impact of COVID-19 on mental health in the US using a large CDC dataset and a new method with generative AI for automatically generating Python code. The generated code was used to investigate and visualize the time-series ... ...

    Abstract This paper investigates the impact of COVID-19 on mental health in the US using a large CDC dataset and a new method with generative AI for automatically generating Python code. The generated code was used to investigate and visualize the time-series impact of COVID-19 on mental health by eight categories over time. The paper aims to activate research on mental health during COVID-19 and demonstrates the use of generative AI in psychiatry research for novice or non-programmer researchers.
    MeSH term(s) Humans ; Mental Health ; COVID-19 ; Psychiatry ; Research Personnel ; Time Factors
    Language English
    Publishing date 2023-08-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2456678-0
    ISSN 1876-2026 ; 1876-2018
    ISSN (online) 1876-2026
    ISSN 1876-2018
    DOI 10.1016/j.ajp.2023.103736
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Artificial intelligence universal biomarker prediction tool.

    Takefuji, Yoshiyasu

    Journal of thrombosis and thrombolysis

    2023  Volume 57, Issue 2, Page(s) 341–343

    Abstract: Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand improvement in the trends of their disease. PyPI tool handles two biomarkers, hbA1c for diabetes and NP- ... ...

    Abstract Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand improvement in the trends of their disease. PyPI tool handles two biomarkers, hbA1c for diabetes and NP-proBNP for heart failure, to predict the next hospital visit. Predicting improvement in disease is a great hope for patients.
    MeSH term(s) Humans ; Prognosis ; Artificial Intelligence ; Natriuretic Peptide, Brain ; Peptide Fragments ; Biomarkers ; Heart Failure/diagnosis
    Chemical Substances Natriuretic Peptide, Brain (114471-18-0) ; Peptide Fragments ; Biomarkers
    Language English
    Publishing date 2023-12-20
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1230645-9
    ISSN 1573-742X ; 0929-5305
    ISSN (online) 1573-742X
    ISSN 0929-5305
    DOI 10.1007/s11239-023-02930-7
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    Zs.A 4352: Show issues Location:
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  8. Article ; Online: hiscovid for visualizing and identifying when policymakers made mistakes against COVID-19.

    Takefuji, Yoshiyasu

    Software impacts

    2023  Volume 15, Page(s) 100466

    Abstract: There are two types of policy outcome analysis tools: snapshot tool and time-series tool. hiscovid is a time-series policy outcome scoring tool of COVID-19 policies by country where the daily cumulative population mortality is used for scoring the ... ...

    Abstract There are two types of policy outcome analysis tools: snapshot tool and time-series tool. hiscovid is a time-series policy outcome scoring tool of COVID-19 policies by country where the daily cumulative population mortality is used for scoring the outcomes of COVID-19 country policies to visualize and identify when policymakers made mistakes. hiscovid allows policymakers to observe the progress and transition of scores over time to learn lessons from the past decision-making mistakes for correcting the current policies to reduce unnecessary deaths. The lower the score, the better the policy. hiscovid attracted 1480 users worldwide.
    Language English
    Publishing date 2023-01-14
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2665-9638
    ISSN (online) 2665-9638
    DOI 10.1016/j.simpa.2023.100466
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Review of hikikomori: A global health issue, identification and treatment.

    Takefuji, Yoshiyasu

    Asian journal of psychiatry

    2023  Volume 84, Page(s) 103596

    Abstract: In the early 2000s, Japanese society became aware of the social phenomenon of hikikomori or social withdrawal among Japanese youth. However, the hikikomori phenomenon was not a domestic Japanese social problem, but a global social and health issue or a ... ...

    Abstract In the early 2000s, Japanese society became aware of the social phenomenon of hikikomori or social withdrawal among Japanese youth. However, the hikikomori phenomenon was not a domestic Japanese social problem, but a global social and health issue or a global silent epidemic. A literature review was conducted on the global silent epidemic issue and identifying hikikomori and effective treatment. This paper will reveal how to identify hikikomori with biomarkers or determinants and treatments for hikikomori. Impact of COVID-19 on hikikomori was briefly investigated.
    MeSH term(s) Adolescent ; Humans ; Social Isolation ; Global Health ; COVID-19 ; Phobia, Social
    Language English
    Publishing date 2023-04-21
    Publishing country Netherlands
    Document type Review ; Journal Article
    ZDB-ID 2456678-0
    ISSN 1876-2026 ; 1876-2018
    ISSN (online) 1876-2026
    ISSN 1876-2018
    DOI 10.1016/j.ajp.2023.103596
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Effectiveness of vaccination with symptoms by age groups.

    Takefuji, Yoshiyasu

    International immunopharmacology

    2023  Volume 116, Page(s) 109823

    Abstract: This paper examines effectiveness of vaccination with symptoms by age groups in the US and Hamamatsu city in Japan. The efficacy of vaccination has been reported in Singapore, but both datasets such as the US CDC dataset and the Hamamatsu dataset ... ...

    Abstract This paper examines effectiveness of vaccination with symptoms by age groups in the US and Hamamatsu city in Japan. The efficacy of vaccination has been reported in Singapore, but both datasets such as the US CDC dataset and the Hamamatsu dataset contradict the Singapore results. Both local government and government datasets are publicly available for peer review and reader validation.
    MeSH term(s) Cost-Benefit Analysis ; COVID-19/diagnosis ; COVID-19/prevention & control ; COVID-19 Vaccines/therapeutic use ; Japan/epidemiology ; United States/epidemiology ; Vaccination/statistics & numerical data ; Vaccine Efficacy/statistics & numerical data ; Age Factors
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2023-02-04
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2043785-7
    ISSN 1878-1705 ; 1567-5769
    ISSN (online) 1878-1705
    ISSN 1567-5769
    DOI 10.1016/j.intimp.2023.109823
    Database MEDical Literature Analysis and Retrieval System OnLINE

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