Davide Placido

Davide Placido

Postdoc, Guest Researcher

Member of:

    ORCID: 0000-0002-8327-8838

    Publication year:
    All
    1 - 10 out of 11Page size: 10
    1. 2024
    2. Published

      Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases

      Muse, V. P., Placido, Davide, Haue, Amalie Dahl & Brunak, Søren, 2024, In: BMC Medical Informatics and Decision Making. 24, 62.

      Research output: Contribution to journal › Journal article › Research › peer-review

    3. 2023
    4. Published

      A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories

      Placido, D., Yuan, B., Hjaltelin, J. X., Zheng, C., Haue, A. D., Chmura, P. J., Yuan, C., Kim, J., Umeton, R., Antell, G., Chowdhury, A., Franz, A., Brais, L., Andrews, E., Marks, D. S., Regev, A., Ayandeh, S., Brophy, M. T., Do, N. V., Kraft, P. & 5 others, Wolpin, B. M., Rosenthal, M. H., Fillmore, N. R., Brunak, Søren & Sander, C., 2023, In: Nature Medicine. 29, p. 1113-1122

      Research output: Contribution to journal › Journal article › Research › peer-review

    5. Published

      Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients

      Placido, Davide, Thorsen-Meyer, H., Kaas-Hansen, Benjamin Skov, Reguant, R. & Brunak, Søren, 2023, In: PLOS Digital Health. 2, 6, 18 p., e0000116.

      Research output: Contribution to journal › Journal article › Research › peer-review

    6. 2022
    7. Published

      Development and validation of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients

      Placido, Davide, Thorsen-Meyer, H., Kaas-Hansen, Benjamin Skov, Reguant, R. & Brunak, Søren, 2022.

      Research output: Working paper › Preprint › Research

    8. Published

      Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data

      Thorsen-Meyer, H., Placido, Davide, Kaas-Hansen, Benjamin Skov, Nielsen, A. P., Lange, Theis, Nielsen, A. B., Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Belling, K., Perner, Anders & Brunak, Søren, 2022, In: npj Digital Medicine. 5, 10 p., 142.

      Research output: Contribution to journal › Journal article › Research › peer-review

    9. Published

      Eliciting drug safety signals from patient records: a language-agnostic approach

      Kaas-Hansen, Benjamin Skov, Placido, Davide, Rodriguez, C., Thorsen-Meyer, H., Gentile, S., Nielsen, A., Brunak, Søren, Jürgens, Gesche & Andersen, S., 2022, p. S15-S16. 2 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    10. Published

      Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records

      Kaas-Hansen, Benjamin Skov, Placido, Davide, Rodríguez, C. L., Thorsen-Meyer, H., Gentile, S., Nielsen, A. P., Brunak, Søren, Jürgens, Gesche & Andersen, Stig Ejdrup, 2022, In: Basic & clinical pharmacology & toxicology. 131, 4, p. 282-293 12 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    11. Published

      Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records

      Kaas-Hansen, Benjamin Skov, Placido, Davide, Rodrìguez, C. L., Thorsen-Meyer, H., Gentile, S., Nielsen, A. P., Brunak, Søren, Jürgens, Gesche & Andersen, Stig Ejdrup, 2022, Authorea, (Authorea Preprints).

      Research output: Working paper › Preprint › Research

    12. Published

      Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter]

      Kaas-Hansen, Benjamin Skov, Leal Rodríguez, C., Placido, Davide, Thorsen-Meyer, H., Nielsen, A. P., Dérian, N., Brunak, Søren & Andersen, Stig Ejdrup, 2022, In: Clinical Epidemiology. 14, p. 765-766 2 p.

      Research output: Contribution to journal › Comment/debate › Research

    13. Published

      Using Machine Learning to Identify Patients at High Risk of Inappropriate Drug Dosing in Periods with Renal Dysfunction

      Kaas-Hansen, Benjamin Skov, Leal Rodríguez, C., Placido, Davide, Thorsen-Meyer, H., Nielsen, A. P., Dérian, N., Brunak, Søren & Andersen, Stig Ejdrup, 2022, In: Clinical Epidemiology. 14, p. 213-223 11 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

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    ID: 224981565