Enayati M - Search Results

1

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. 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

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

Sleep Posture Classification Using Bed Sensor Data and Neural Networks.

Enayati M, Skubic M, Keller JM, Popescu M, Farahani NZ. Enayati M, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:461-465. doi: 10.1109/EMBC.2018.8512436. Annu Int Conf IEEE Eng Med Biol Soc. 2018. PMID: 30440434

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. Among authors: enayati m. 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

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: enayati m. 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.

6

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. JMIR Res Protoc. 2021 Jun 14;10(6):e24642. doi: 10.2196/24642. JMIR Res Protoc. 2021. PMID: 34125077 Free PMC article.

7

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. Among authors: enayati m. J Imaging. 2022 May 23;8(5):149. doi: 10.3390/jimaging8050149. J Imaging. 2022. PMID: 35621913 Free PMC article.

8

Monitoring patients in hospital beds using unobtrusive depth sensors.

Banerjee T, Enayati M, Keller JM, Skubic M, Popescu M, Rantz M. Banerjee T, et al. Among authors: enayati m. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:5904-7. doi: 10.1109/EMBC.2014.6944972. Annu Int Conf IEEE Eng Med Biol Soc. 2014. PMID: 25571340

9

A novel web-based depth video rewind approach toward fall preventive interventions in hospitals.

Enayati M, Banerjee T, Popescu M, Skubic M, Rantz M. Enayati M, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:4511-4. doi: 10.1109/EMBC.2014.6944626. Annu Int Conf IEEE Eng Med Biol Soc. 2014. PMID: 25570994

10

Monitoring the Relative Blood Pressure Using a Hydraulic Bed Sensor System.

Su BY, Enayati M, Ho KC, Skubic M, Despins L, Keller J, Popescu M, Guidoboni G, Rantz M. Su BY, et al. Among authors: enayati m. IEEE Trans Biomed Eng. 2019 Mar;66(3):740-748. doi: 10.1109/TBME.2018.2855639. Epub 2018 Jul 13. IEEE Trans Biomed Eng. 2019. PMID: 30010544

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