Davide Placido

Davide Placido

Postdoc, Guest Researcher

Member of:


    Publication year:
    1. 2022
    2. Published
    3. 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 journalJournal articleResearchpeer-review

    4. 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 conferenceConference abstract for conferenceResearchpeer-review

    5. 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 journalJournal articleResearchpeer-review

    6. 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 paperPreprintResearch

    7. 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 journalComment/debateResearch

    8. 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 journalJournal articleResearchpeer-review

    ID: 224981565