• 5300 Citations
19992020

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Research Interests

I am committed to using data to improve patient care and patient outcomes, particularly using machine learning and electronic health records. I am board-certified in clinical informatics, neurology, vascular neurology, and neurocritical care), and hold a MSPH in biostatistics. Our model for clinical discovery combines in-person patient ascertainment and adjudicated data, queries of the electronic health record, and analysis of large data sets. These data are subjected to the continuum of analysis from statistics ("white box") to machine learning/data science ("black box") algorithms to derive insights and advance patient care. Manuscripts from my team are frequently cited in guidelines, and several have changed the standard of care and widespread patient practice (e.g., prophylactic seizure medications). I co-authored the guidelines for the management of aneurysmal subarachnoid hemorrhage (American Heart Assn) and neurologic monitoring (Neurocritical Care Society). I serve as the Faculty Director for the Master of Science in Health Analytics program at NU's School of Professional Studies and I serve as Program Director for the Neurocritical Care fellowship.

Biostatistics, machine learning, data science, natural language processing, neurocritical care, stroke, neurology

Neurocritical care, critical care, stroke, clinical informatics

Certifications and Licenses

Clinical Informatics
Neurology
Vascular Neurology

Training Experience

2002Residency, Tulane Univ. Hospital & Clinics
2004Fellowship, Columbia Presbyterian Hospital in NYC

Education/Academic qualification

MSPH, Tulane University

… → 2001

MD, Temple University

… → 1997

Research interests

  • Biostatistics
  • Brain Aneurysm
  • Critical Care
  • Critical Care Outcomes
  • Ethics of Research with Human Subjects
  • Information Systems
  • Neurology
  • Stroke

Fingerprint Dive into the research topics where Andrew M Naidech is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 23 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants

  • Research Output

    Early Stroke Recognition and Time-based Emergency Care Performance Metrics for Intracerebral Hemorrhage

    Colton, K., Richards, C. T., Pruitt, P. B., Mendelson, S. J., Holl, J. L., Naidech, A. M., Prabhakaran, S. & Maas, M. B., Feb 2020, In : Journal of Stroke and Cerebrovascular Diseases. 29, 2, 104552.

    Research output: Contribution to journalArticle

  • Factors Disrupting Melatonin Secretion Rhythms during Critical Illness

    Maas, M. B., Lizza, B. D., Abbott, S. M., Liotta, E. M., Gendy, M., Eed, J., Naidech, A. M., Reid, K. J. & Zee, P. C., Jan 1 2020, (Accepted/In press) In : Critical care medicine. p. 854-861 8 p.

    Research output: Contribution to journalArticle

  • 1 Scopus citations

    Global Survey of Outcomes of Neurocritical Care Patients: Analysis of the PRINCE Study Part 2

    PRINCE Study Investigators, Feb 1 2020, In : Neurocritical Care. 32, 1, p. 88-103 16 p.

    Research output: Contribution to journalArticle

  • 6 Scopus citations

    Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine Learning

    Hall, A. N., Weaver, B., Liotta, E., Maas, M. B., Faigle, R., Mroczek, D. K. & Naidech, A. M., Jan 1 2020, (Accepted/In press) In : Neurocritical Care.

    Research output: Contribution to journalArticle