Davide Placido

Davide Placido

Guest Researcher

ORCID: 0000-0002-8327-8838

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  1. 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

  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. 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

  4. 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

  5. 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

  6. Published

    Identifying patients at high risk of inappropriate drug dosing in periods with renal dysfunction

    Kaas-Hansen, Benjamin Skov, Rodriguez, C. L., Placido, Davide, Thorsen-Meyer, H., Nielsen, A. P., Dérian, N., Brunak, Søren & Andersen, Stig Ejdrup, 2021, medRxiv.

    Research output: Working paper › Preprint › Research

  7. 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

  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

    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

  10. 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

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ID: 224981565