Marc R. Blackman

Professor

1978 …2022

Research activity per year

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  • 2020

    Identifying and understanding opioid use disorder in clinical notes

    Workman, T. E., Kupersmith, J., Goulet, J. L., Spevak, C., Brandt, C., Sandbrink, F., Blackman, M. R., Shara, N. M. & Zeng-Treitler, Q., 2020, Proceedings of the 12th IADIS International Conference e-Health 2020, EH 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. IADIS, p. 143-150 8 p. (Proceedings of the 12th IADIS International Conference e-Health 2020, EH 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2019

    Explainable Deep Learning Applied to Understanding Opioid Use Disorder and Its Risk Factors

    Workman, T. E., Zeng-Treitler, Q., Shao, Y., Kupersmith, J., Sandbrink, F., Goulet, J. L., Shaar, N. M., Spevak, C., Brandt, C. & Blackman, M. R., Dec 2019, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 4883-4888 6 p. 9006297. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations