Davide Placido

Davide Placido

Guest Researcher

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

Previous 1 2 Next

ID: 224981565