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  1. Article: Editorial: Postoperative care: from pain management to delirium.

    Zhang, Zhongheng

    Frontiers in medicine

    2023  Volume 10, Page(s) 1179358

    Language English
    Publishing date 2023-06-15
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2023.1179358
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Editorial

    Zhongheng Zhang

    Frontiers in Medicine, Vol

    Postoperative care: from pain management to delirium

    2023  Volume 10

    Keywords postoperative care ; pain ; delirium ; analgesia ; sedation: propofol ; Medicine (General) ; R5-920
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume IV.

    Dhillon, Gagandeep / Zhang, Zhongheng / Grewal, Harpreet / Kashyap, Rahul

    Frontiers in medicine

    2024  Volume 10, Page(s) 1346070

    Language English
    Publishing date 2024-01-09
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2023.1346070
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Subphenotypes in critical illness: a priori biological rationale is key. Author's reply.

    Yang, Jie / Huang, Jiajie / Hong, Yucai / Zhang, Zhongheng

    Intensive care medicine

    2024  Volume 50, Issue 2, Page(s) 302–303

    MeSH term(s) Humans ; Critical Illness
    Language English
    Publishing date 2024-01-18
    Publishing country United States
    Document type Letter
    ZDB-ID 80387-x
    ISSN 1432-1238 ; 0340-0964 ; 0342-4642 ; 0935-1701
    ISSN (online) 1432-1238
    ISSN 0340-0964 ; 0342-4642 ; 0935-1701
    DOI 10.1007/s00134-023-07316-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1089: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article: Predictive analytics in the era of big data: opportunities and challenges.

    Zhang, Zhongheng

    Annals of translational medicine

    2020  Volume 8, Issue 4, Page(s) 68

    Language English
    Publishing date 2020-02-26
    Publishing country China
    Document type Editorial ; Comment
    ZDB-ID 2893931-1
    ISSN 2305-5847 ; 2305-5839
    ISSN (online) 2305-5847
    ISSN 2305-5839
    DOI 10.21037/atm.2019.10.97
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The author replies.

    Zhang, Zhongheng

    Critical care medicine

    2020  Volume 48, Issue 3, Page(s) e252

    MeSH term(s) Acute Kidney Injury ; Humans ; Sodium Bicarbonate
    Chemical Substances Sodium Bicarbonate (8MDF5V39QO)
    Language English
    Publishing date 2020-02-10
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000004148
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1261: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Editorial

    Gagandeep Dhillon / Zhongheng Zhang / Harpreet Grewal / Rahul Kashyap

    Frontiers in Medicine, Vol

    Clinical application of artificial intelligence in emergency and critical care medicine, volume IV

    2024  Volume 10

    Keywords artificial intelligence ; prediction ; critical care ; machine learning ; intensive care unit ; Medicine (General) ; R5-920
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  8. Article: Human recombinant alkaline phosphatase: a promising, yet-to-be-tested agent for the treatment sepsis-induced acute kidney injury.

    Zhang, Zhongheng

    Annals of translational medicine

    2019  Volume 6, Issue Suppl 2, Page(s) S124

    Language English
    Publishing date 2019-01-22
    Publishing country China
    Document type Editorial ; Comment
    ZDB-ID 2893931-1
    ISSN 2305-5847 ; 2305-5839
    ISSN (online) 2305-5847
    ISSN 2305-5839
    DOI 10.21037/atm.2018.12.17
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Machine learning method for the management of acute kidney injury: more than just treating biomarkers individually.

    Zhang, Zhongheng

    Biomarkers in medicine

    2019  Volume 13, Issue 15, Page(s) 1251–1253

    MeSH term(s) Acute Kidney Injury/metabolism ; Biomarkers/metabolism ; Humans ; Machine Learning
    Chemical Substances Biomarkers
    Language English
    Publishing date 2019-09-27
    Publishing country England
    Document type Editorial
    ZDB-ID 2481014-9
    ISSN 1752-0371 ; 1752-0363
    ISSN (online) 1752-0371
    ISSN 1752-0363
    DOI 10.2217/bmm-2019-0363
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6985: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Prediction model for patients with acute respiratory distress syndrome

    Zhongheng Zhang

    PeerJ, Vol 7, p e

    use of a genetic algorithm to develop a neural network model

    2019  Volume 7719

    Abstract: Background Acute respiratory distress syndrome (ARDS) is associated with significantly increased risk of death, and early risk stratification may help to choose the appropriate treatment. The study aimed to develop a neural network model by using a ... ...

    Abstract Background Acute respiratory distress syndrome (ARDS) is associated with significantly increased risk of death, and early risk stratification may help to choose the appropriate treatment. The study aimed to develop a neural network model by using a genetic algorithm (GA) for the prediction of mortality in patients with ARDS. Methods This was a secondary analysis of two multicenter randomized controlled trials conducted in forty-four hospitals that are members of the National Heart, Lung, and Blood Institute, founded to create an acute respiratory distress syndrome Clinical Trials Network. Model training and validation were performed using the SAILS and OMEGA studies, respectively. A GA was employed to screen variables in order to predict 90-day mortality, and a neural network model was trained for the prediction. This machine learning model was compared to the logistic regression model and APACHE III score in the validation cohort. Results A total number of 1,071 ARDS patients were included for analysis. The GA search identified seven important variables, which were age, AIDS, leukemia, metastatic tumor, hepatic failure, lowest albumin, and FiO2. A representative neural network model was constructed using the forward selection procedure. The area under the curve (AUC) of the neural network model evaluated with the validation cohort was 0.821 (95% CI [0.753–0.888]), which was greater than the APACHE III score (0.665; 95% CI [0.590–0.739]; p = 0.002 by Delong’s test) and logistic regression model, albeit not statistically significant (0.743; 95% CI [0.669–0.817], p = 0.130 by Delong’s test). Conclusions The study developed a neural network model using a GA, which outperformed conventional scoring systems for the prediction of mortality in ARDS patients.
    Keywords Acute respiratory distress syndrome ; Prediction ; Neural networks ; Mortality ; Genomic algorithms ; Genetic algorithm ; Medicine ; R ; Biology (General) ; QH301-705.5
    Subject code 310
    Language English
    Publishing date 2019-09-01T00:00:00Z
    Publisher PeerJ Inc.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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