• 4737 Citations
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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
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.

  • 20 Similar Profiles
Cerebral Hemorrhage Medicine & Life Sciences
Subarachnoid Hemorrhage Medicine & Life Sciences
Stroke Medicine & Life Sciences
Brain Injuries Medicine & Life Sciences
Delirium Medicine & Life Sciences
Critical Care Medicine & Life Sciences
Cerebral Infarction Medicine & Life Sciences
Blood Platelets Medicine & Life Sciences

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

Grants 2004 2024

Research Output 1999 2019

1 Citation (Scopus)

Admission Heart Rate Variability is Associated with Fever Development in Patients with Intracerebral Hemorrhage

Swor, D. E., Thomas, L. F., Maas, M. B., Grimaldi, D., Manno, E. M., Sorond, F. A., Batra, A., Kim, M., Prabhakaran, S., Naidech, A. M. & Liotta, E. M., Apr 15 2019, In : Neurocritical Care. 30, 2, p. 244-250 7 p.

Research output: Contribution to journalArticle

Cerebral Hemorrhage
Heart Rate
Logistic Models
1 Citation (Scopus)

A Human Depression Circuit Derived From Focal Brain Lesions

Padmanabhan, J. L., Cooke, D., Joutsa, J., Siddiqi, S. H., Ferguson, M., Darby, R. R., Soussand, L., Horn, A., Kim, N. Y., Voss, J. L., Naidech, A. M., Brodtmann, A., Egorova, N., Gozzi, S., Phan, T. G., Corbetta, M., Grafman, J. H. & Fox, M. D., Jan 1 2019, (Accepted/In press) In : Biological psychiatry.

Research output: Contribution to journalArticle

Prefrontal Cortex

A natural language processing algorithm to extract characteristics of subdural hematoma from head CT reports

Pruitt, P. B., Naidech, A. M., Van Ornam, J., Borczuk, P. & Thompson, W., Jun 1 2019, In : Emergency Radiology. 26, 3, p. 301-306 6 p.

Research output: Contribution to journalArticle

Natural Language Processing
Subdural Hematoma
Traumatic Intracranial Hemorrhage

Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing

Garg, R., Oh, E., Naidech, A. M., Kording, K. & Prabhakaran, S., Jul 1 2019, In : Journal of Stroke and Cerebrovascular Diseases. 28, 7, p. 2045-2051 7 p.

Research output: Contribution to journalArticle

Natural Language Processing
Electronic Health Records
Machine Learning
1 Citation (Scopus)

Clinical characteristics and outcomes of methamphetamine-associated intracerebral hemorrhage

Swor, D. E., Maas, M. B., Walia, S. S., Bissig, D. P., Liotta, E. M., Naidech, A. M. & Ng, K. L., Jul 2 2019, In : Neurology. 93, 1, p. E1-E7

Research output: Contribution to journalArticle

Cerebral Hemorrhage
Length of Stay
Intensive Care Units