Ahumada LM - Search Results

1

Examining Implicit Bias Differences in Pediatric Surgical Fellowship Letters of Recommendation Using Natural Language Processing.

Gray GM, Williams SA, Bludevich B, Irby I, Chang H, Danielson PD, Gonzalez R, Snyder CW, Ahumada LM, Chandler NM. Gray GM, et al. Among authors: ahumada lm. J Surg Educ. 2023 Apr;80(4):547-555. doi: 10.1016/j.jsurg.2022.12.002. Epub 2022 Dec 17. J Surg Educ. 2023. PMID: 36529662

2

Impact of Coronavirus-2019 On Pediatric and Adult Heart Transplantation Waitlist Activity and Mortality in The United States: A Descriptive Approach.

Ashfaq A, Gray GM, Carapellucci J, Amankwah EK, Ahumada LM, Rehman M, Puchalski M, Smith A, Quintessenza JA, Asante-Korang A. Ashfaq A, et al. Among authors: ahumada lm. Lancet Reg Health Am. 2021 Nov;3:100060. doi: 10.1016/j.lana.2021.100060. Epub 2021 Aug 31. Lancet Reg Health Am. 2021. PMID: 34786570 Free PMC article.

3

The Perioperative Human Digital Twin.

Lonsdale H, Gray GM, Ahumada LM, Yates HM, Varughese A, Rehman MA. Lonsdale H, et al. Among authors: ahumada lm. Anesth Analg. 2022 Apr 1;134(4):885-892. doi: 10.1213/ANE.0000000000005916. Anesth Analg. 2022. PMID: 35299215 No abstract available.

4

Feasibility of Conducting Long-term Health and Behaviors Follow-up in Adolescents: Longitudinal Observational Study.

Cucchiaro G, Ahumada L, Gray G, Fierstein J, Yates H, Householder K, Frye W, Rehman M. Cucchiaro G, et al. JMIR Form Res. 2022 Aug 15;6(8):e37054. doi: 10.2196/37054. JMIR Form Res. 2022. PMID: 35969442 Free PMC article.

5

A machine-learning approach for decision support and risk stratification of pediatric perioperative patients based on the APRICOT dataset.

Gray GM, Ahumada LM, Rehman MA, Varughese A, Fernandez AM, Fackler J, Yates HM, Habre W, Disma N, Lonsdale H. Gray GM, et al. Among authors: ahumada lm. Paediatr Anaesth. 2023 Sep;33(9):710-719. doi: 10.1111/pan.14694. Epub 2023 May 21. Paediatr Anaesth. 2023. PMID: 37211981

6

Survival analysis for pediatric heart transplant patients using a novel machine learning algorithm: A UNOS analysis.

Ashfaq A, Gray GM, Carapelluci J, Amankwah EK, Rehman M, Puchalski M, Smith A, Quintessenza JA, Laks J, Ahumada LM, Asante-Korang A. Ashfaq A, et al. Among authors: ahumada lm. J Heart Lung Transplant. 2023 Oct;42(10):1341-1348. doi: 10.1016/j.healun.2023.06.006. Epub 2023 Jun 15. J Heart Lung Transplant. 2023. PMID: 37327979

7

Precision Anesthesia in 2050.

Kuo FH, Tudor BH, Gray GM, Ahumada LM, Rehman MA, Watkins SC. Kuo FH, et al. Among authors: ahumada lm. Anesth Analg. 2024 Feb 1;138(2):326-336. doi: 10.1213/ANE.0000000000006688. Epub 2024 Jan 12. Anesth Analg. 2024. PMID: 38215711

8

Using machine learning to predict five-year transplant-free survival among infants with hypoplastic left heart syndrome.

Smith AH, Gray GM, Ashfaq A, Asante-Korang A, Rehman MA, Ahumada LM. Smith AH, et al. Among authors: ahumada lm. Sci Rep. 2024 Feb 24;14(1):4512. doi: 10.1038/s41598-024-55285-1. Sci Rep. 2024. PMID: 38402363 Free PMC article.

9

The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

Gálvez JA, Pappas JM, Ahumada L, Martin JN, Simpao AF, Rehman MA, Witmer C. Gálvez JA, et al. J Thromb Thrombolysis. 2017 Oct;44(3):281-290. doi: 10.1007/s11239-017-1532-y. J Thromb Thrombolysis. 2017. PMID: 28815363

10

Deep Learning for Improved Risk Prediction in Surgical Outcomes.

Jalali A, Lonsdale H, Do N, Peck J, Gupta M, Kutty S, Ghazarian SR, Jacobs JP, Rehman M, Ahumada LM. Jalali A, et al. Among authors: ahumada lm. Sci Rep. 2020 Jun 9;10(1):9289. doi: 10.1038/s41598-020-62971-3. Sci Rep. 2020. PMID: 32518246 Free PMC article.

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