Grants per year
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
2002 | Residency, Tulane Univ. Hospital & Clinics |
2004 | Fellowship, Columbia Presbyterian Hospital in NYC |
Education/Academic qualification
MSPH, Public Health, Tulane University
… → 2001
MD, Medicine, Temple University
… → 1997
Research interests keywords
- Biostatistics
- Brain Aneurysm
- Critical Care
- Critical Care Outcomes
- Ethics of Research with Human Subjects
- Information Systems
- Neurology
- Stroke
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Collaborations and top research areas from the last five years
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Precise Prediction and Treatment of Seizures After Intracranial Hemorrhage
Naidech, A. M., Naidech, A. M., Cella, D., Cella, D., Luo, Y., Luo, Y., Schuele, S. U., Schuele, S. U., Tipton, E. & Tipton, E.
National Institute of Neurological Disorders and Stroke
4/1/23 → 3/31/28
Project: Research project
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FVIIa for Acute hemorrhagic Stroke Administered at Earliest Time (FASTEST)
Naidech, A. M. & Naidech, A. M.
University of Cincinnati, National Institute of Neurological Disorders and Stroke
3/1/20 → 12/31/24
Project: Research project
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Patient-reported health-related quality of life as complex patient outcomes in stroke survivors
Agency for Healthcare Research and Quality
9/30/22 → 9/29/23
Project: Research project
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Chicago Stroke Trials Consortium
Caprio, F. Z., Naidech, A. M. & Caprio, F. Z.
The University of Chicago, National Institute of Neurological Disorders and Stroke
8/1/19 → 7/31/23
Project: Research project
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Big Data in Stroke: How to Use Big Data to Make the Next Management Decision
Liu, Y., Luo, Y. & Naidech, A. M., Apr 2023, In: Neurotherapeutics. 20, 3, p. 744-757 14 p.Research output: Contribution to journal › Review article › peer-review
2 Scopus citations -
Effect of Magnesium on Deterioration and Symptomatic Hemorrhagic Transformation in Cerebral Ischemia: An Ancillary Analysis of the FAST-MAG Trial
Fan, S., Jang, M., Kim-Tenser, M., Shkirkova, K., Liebeskind, D. S., Starkman, S., Villablanca, J. P., Hamilton, S., Naidech, A., Saver, J. L. & Sanossian, N., Oct 1 2023, In: Cerebrovascular Diseases. 52, 5, p. 539-542 4 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Natural language processing of pediatric progress notes for the identification of food allergy
Bilaver, L. A., Wang, H., Naidech, A. M., Luo, Y., Das, R., Sehgal, S. & Gupta, R., Jul 2023, In: Journal of Allergy and Clinical Immunology: In Practice. 11, 7, p. 2242-2244.e2Research output: Contribution to journal › Article › peer-review
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Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries
Wang, H., Li, Y., Hutch, M. R., Kline, A. S., Otero, S., Mithal, L. B., Miller, E. S., Naidech, A. & Luo, Y., May 1 2023, In: Journal of the American Medical Informatics Association. 30, 5, p. 923-931 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Recruitment in Acute Stroke Trials: Challenges and Potential Solutions
Broderick, J. P., Aziz, Y. N., Adeoye, O. M., Grotta, J. C., Naidech, A. M., Barreto, A. D., Derdeyn, C. P., Sucharew, H. J., Elm, J. J. & Khatri, P., Feb 1 2023, In: Stroke. 54, 2, p. 632-638 7 p.Research output: Contribution to journal › Review article › peer-review
1 Scopus citations
Datasets
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Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants
Wang, H. (Creator), Li, Y. (Creator), Naidech, A. M. (Creator), Luo, Y. (Creator) & Luo, Y. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.c.6051531, https://springernature.figshare.com/collections/Comparison_between_machine_learning_methods_for_mortality_prediction_for_sepsis_patients_with_different_social_determinants/6051531
Dataset
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supplement_fig - Clinical Decision-Making for Thrombolysis of Acute Minor Stroke Using Adaptive Conjoint Analysis
Liberman, A. L. (Creator), Pinto, D. (Creator), Rostanski, S. K. (Creator), Labovitz, D. L. (Creator), Naidech, A. M. (Creator), Prabhakaran, S. (Creator) & Liberman, A. L. (Creator), SAGE Journals, 2018
DOI: 10.25384/sage.7087598, https://sage.figshare.com/articles/supplement_fig_-_Clinical_Decision-Making_for_Thrombolysis_of_Acute_Minor_Stroke_Using_Adaptive_Conjoint_Analysis/7087598
Dataset
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Supplementary Material for: Refining Prognosis for Intracerebral Hemorrhage by Early Reassessment
Maas, M. B. (Creator), Francis, B. A. (Creator), Sangha, R. S. (Creator), Lizza, B. D. (Creator), Liotta, E. M. (Creator) & Naidech, A. M. (Creator), Karger Publishers, 2017
DOI: 10.6084/m9.figshare.4509284.v1, https://karger.figshare.com/articles/dataset/Supplementary_Material_for_Refining_Prognosis_for_Intracerebral_Hemorrhage_by_Early_Reassessment/4509284/1
Dataset
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Impact of Multiple Daily Clinical Pharmacist-Enforced Assessments on Time in Target Sedation Range
Lizza, B. D. (Creator), Jagow, B. (Creator), Hensler, D. (Creator), Cooper, C. J. (Creator), Short, E. J. (Creator), Maas, M. B. (Creator), Naidech, A. M. (Creator), Wunderink, R. G. (Creator) & Wunderink, R. G. (Creator), figshare, 2017
DOI: 10.25384/sage.c.4232345.v1, https://figshare.com/collections/Impact_of_Multiple_Daily_Clinical_Pharmacist-Enforced_Assessments_on_Time_in__Target_Sedation_Range/4232345/1
Dataset
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Clinical Decision-Making for Thrombolysis of Acute Minor Stroke Using Adaptive Conjoint Analysis
Liberman, A. L. (Creator), Pinto, D. (Creator), Rostanski, S. K. (Creator), Labovitz, D. L. (Creator), Naidech, A. M. (Creator), Prabhakaran, S. (Creator) & Liberman, A. L. (Creator), figshare, 2018
DOI: 10.25384/sage.c.4232396.v1, https://figshare.com/collections/Clinical_Decision-Making_for_Thrombolysis_of_Acute_Minor_Stroke_Using_Adaptive_Conjoint_Analysis/4232396/1 and one more link, https://figshare.com/collections/Clinical_Decision-Making_for_Thrombolysis_of_Acute_Minor_Stroke_Using_Adaptive_Conjoint_Analysis/4232396 (show fewer)
Dataset