Pasupathy KS - Search Results

1

NATURAL LANGUAGE PROCESSING BASED MACHINE LEARNING MODEL USING CARDIAC MRI REPORTS TO IDENTIFY HYPERTROPHIC CARDIOMYOPATHY PATIENTS.

Sundaram DSB, Arunachalam SP, Damani DN, Farahani NZ, Enayati M, Pasupathy KS, Arruda-Olson AM. Sundaram DSB, et al. Among authors: pasupathy ks. Proc Des Med Devices Conf. 2021 Apr;2021:V001T03A005. doi: 10.1115/dmd2021-1076. Epub 2021 May 11. Proc Des Med Devices Conf. 2021. PMID: 35463194 Free PMC article.

2

Trauma Activation Responsiveness: An RFID-enabled trauma flowsheet.

Enayati M, Heaton H, Wang R, Marisamy G, Farahani NZ, Hellmich T, Pasupathy K, Kim B, Nestler D. Enayati M, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5718-5721. doi: 10.1109/EMBC44109.2020.9175880. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33019273

3

Monitoring Diagnostic Safety Risks in Emergency Departments: Protocol for a Machine Learning Study.

Enayati M, Sir M, Zhang X, Parker SJ, Duffy E, Singh H, Mahajan P, Pasupathy KS. Enayati M, et al. Among authors: pasupathy ks. JMIR Res Protoc. 2021 Jun 14;10(6):e24642. doi: 10.2196/24642. JMIR Res Protoc. 2021. PMID: 34125077 Free PMC article.

4

Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes.

Farahani NZ, Arunachalam SP, Sundaram DSB, Pasupathy K, Enayati M, Arruda-Olson AM. Farahani NZ, et al. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2020 Dec;2020:1932-1937. doi: 10.1109/bibm49941.2020.9313231. Epub 2021 Jan 13. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2020. PMID: 34316386 Free PMC article.

5

Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff.

Enayati M, Farahani NZ, Chaudhry AP, Kapoor A, Arunachalam S, Walker LE, Nestler D, Pasupathy KS. Enayati M, et al. Among authors: pasupathy ks. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2386-2391. doi: 10.1109/EMBC46164.2021.9630597. Annu Int Conf IEEE Eng Med Biol Soc. 2021. PMID: 34891762

6

Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation.

Chen D, Bhopalwala H, Dewaswala N, Arunachalam SP, Enayati M, Farahani NZ, Pasupathy K, Lokineni S, Bos JM, Noseworthy PA, Arsanjani R, Erickson BJ, Geske JB, Ackerman MJ, Araoz PA, Arruda-Olson AM. Chen D, et al. J Imaging. 2022 May 23;8(5):149. doi: 10.3390/jimaging8050149. J Imaging. 2022. PMID: 35621913 Free PMC article.

7

Patient-Care Team Contact Patterns Impact Treatment Length of Stay in the Emergency Department.

Arunachalam SP, Asan O, Nestler DM, Heaton HA, Hellmich TR, Wutthisirisart P, Marisamy G, Pasupathy KS, Sir MY. Arunachalam SP, et al. Among authors: pasupathy ks. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:345-348. doi: 10.1109/EMBC.2019.8857803. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31945912

8

Estimation of Baseline Serum Creatinine with Machine Learning.

Ghosh E, Eshelman L, Lanius S, Schwager E, Pasupathy KS, Barreto EF, Kashani K. Ghosh E, et al. Among authors: pasupathy ks. Am J Nephrol. 2021;52(9):753-762. doi: 10.1159/000518902. Epub 2021 Sep 20. Am J Nephrol. 2021. PMID: 34569522

9

Determining steady-state trough range in vancomycin drug dosing using machine learning.

Tootooni MS, Barreto EF, Wutthisirisart P, Kashani KB, Pasupathy KS. Tootooni MS, et al. Among authors: pasupathy ks. J Crit Care. 2024 Mar 18;82:154784. doi: 10.1016/j.jcrc.2024.154784. Online ahead of print. J Crit Care. 2024. PMID: 38503008

10

Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission.

Schwager E, Lanius S, Ghosh E, Eshelman L, Pasupathy KS, Barreto EF, Kashani K. Schwager E, et al. Among authors: pasupathy ks. J Crit Care. 2021 Apr;62:283-288. doi: 10.1016/j.jcrc.2021.01.003. Epub 2021 Jan 20. J Crit Care. 2021. PMID: 33508763 Free PMC article.

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