Mathis MR - Search Results

1

Prediction of postoperative cardiac events in multiple surgical cohorts using a multimodal and integrative decision support system.

Kim RB, Alge OP, Liu G, Biesterveld BE, Wakam G, Williams AM, Mathis MR, Najarian K, Gryak J. Kim RB, et al. Among authors: mathis mr. Sci Rep. 2022 Jul 5;12(1):11347. doi: 10.1038/s41598-022-15496-w. Sci Rep. 2022. PMID: 35790802 Free PMC article.

2

Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know: More than Black Magic for the Art of the Dark.

Mathis MR, Kheterpal S, Najarian K. Mathis MR, et al. Anesthesiology. 2018 Oct;129(4):619-622. doi: 10.1097/ALN.0000000000002384. Anesthesiology. 2018. PMID: 30080689 Free PMC article. No abstract available.

3

Classification of Current Procedural Terminology Codes from Electronic Health Record Data Using Machine Learning.

Burns ML, Mathis MR, Vandervest J, Tan X, Lu B, Colquhoun DA, Shah N, Kheterpal S, Saager L. Burns ML, et al. Among authors: mathis mr. Anesthesiology. 2020 Apr;132(4):738-749. doi: 10.1097/ALN.0000000000003150. Anesthesiology. 2020. PMID: 32028374 Free PMC article.

4

Early Detection of Heart Failure With Reduced Ejection Fraction Using Perioperative Data Among Noncardiac Surgical Patients: A Machine-Learning Approach.

Mathis MR, Engoren MC, Joo H, Maile MD, Aaronson KD, Burns ML, Sjoding MW, Douville NJ, Janda AM, Hu Y, Najarian K, Kheterpal S. Mathis MR, et al. Anesth Analg. 2020 May;130(5):1188-1200. doi: 10.1213/ANE.0000000000004630. Anesth Analg. 2020. PMID: 32287126 Free PMC article.

5

Use of a Polygenic Risk Score Improves Prediction of Myocardial Injury After Non-Cardiac Surgery.

Douville NJ, Surakka I, Leis A, Douville CB, Hornsby WE, Brummett CM, Kheterpal S, Willer CJ, Engoren M, Mathis MR. Douville NJ, et al. Among authors: mathis mr. Circ Genom Precis Med. 2020 Aug;13(4):e002817. doi: 10.1161/CIRCGEN.119.002817. Epub 2020 Jun 9. Circ Genom Precis Med. 2020. PMID: 32517536 Free PMC article.

6

Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry.

Sabeti E, Reamaroon N, Mathis M, Gryak J, Sjoding M, Najarian K. Sabeti E, et al. Inform Med Unlocked. 2019;16:100222. doi: 10.1016/j.imu.2019.100222. Epub 2019 Aug 18. Inform Med Unlocked. 2019. PMID: 32864419 Free PMC article.

7

Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care.

Hernandez L, Kim R, Tokcan N, Derksen H, Biesterveld BE, Croteau A, Williams AM, Mathis M, Najarian K, Gryak J. Hernandez L, et al. Artif Intell Med. 2021 Mar;113:102032. doi: 10.1016/j.artmed.2021.102032. Epub 2021 Feb 11. Artif Intell Med. 2021. PMID: 33685593 Free article.

8

Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data.

Mathis MR, Engoren MC, Williams AM, Biesterveld BE, Croteau AJ, Cai L, Kim RB, Liu G, Ward KR, Najarian K, Gryak J; BCIL Collaborators Group. Mathis MR, et al. Anesthesiology. 2022 Nov 1;137(5):586-601. doi: 10.1097/ALN.0000000000004345. Anesthesiology. 2022. PMID: 35950802 Free PMC article.

9

A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial Infarction.

Hodgman M, Minoccheri C, Mathis M, Wittrup E, Najarian K. Hodgman M, et al. Diagnostics (Basel). 2024 Aug 10;14(16):1741. doi: 10.3390/diagnostics14161741. Diagnostics (Basel). 2024. PMID: 39202229 Free PMC article.

10

Life-threatening critical respiratory events: a retrospective study of postoperative patients found unresponsive during analgesic therapy.

Ramachandran SK, Haider N, Saran KA, Mathis M, Kim J, Morris M, O'Reilly M. Ramachandran SK, et al. J Clin Anesth. 2011 May;23(3):207-13. doi: 10.1016/j.jclinane.2010.09.003. J Clin Anesth. 2011. PMID: 21570616

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