Lam C - Search Results

1

Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial.

Burdick H, Lam C, Mataraso S, Siefkas A, Braden G, Dellinger RP, McCoy A, Vincent JL, Green-Saxena A, Barnes G, Hoffman J, Calvert J, Pellegrini E, Das R. Burdick H, et al. Among authors: lam c. J Clin Med. 2020 Nov 26;9(12):3834. doi: 10.3390/jcm9123834. J Clin Med. 2020. PMID: 33256141 Free PMC article.

2

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.

Burdick H, Lam C, Mataraso S, Siefkas A, Braden G, Dellinger RP, McCoy A, Vincent JL, Green-Saxena A, Barnes G, Hoffman J, Calvert J, Pellegrini E, Das R. Burdick H, et al. Among authors: lam c. Comput Biol Med. 2020 Sep;124:103949. doi: 10.1016/j.compbiomed.2020.103949. Epub 2020 Aug 6. Comput Biol Med. 2020. PMID: 32798922 Free PMC article. Clinical Trial.

3

Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study.

Ryan L, Lam C, Mataraso S, Allen A, Green-Saxena A, Pellegrini E, Hoffman J, Barton C, McCoy A, Das R. Ryan L, et al. Among authors: lam c. Ann Med Surg (Lond). 2020 Nov;59:207-216. doi: 10.1016/j.amsu.2020.09.044. Epub 2020 Oct 3. Ann Med Surg (Lond). 2020. PMID: 33042536 Free PMC article.

4

COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients.

Stewart M, Rodriguez-Watson C, Albayrak A, Asubonteng J, Belli A, Brown T, Cho K, Das R, Eldridge E, Gatto N, Gelman A, Gerlovin H, Goldberg SL, Hansen E, Hirsch J, Ho YL, Ip A, Izano M, Jones J, Justice AC, Klesh R, Kuranz S, Lam C, Mao Q, Mataraso S, Mera R, Posner DC, Rassen JA, Siefkas A, Schrag A, Tourassi G, Weckstein A, Wolf F, Bhat A, Winckler S, Sigal EV, Allen J. Stewart M, et al. Among authors: lam c. PLoS One. 2021 Mar 17;16(3):e0248128. doi: 10.1371/journal.pone.0248128. eCollection 2021. PLoS One. 2021. PMID: 33730088 Free PMC article.

5

Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids.

Lam C, Siefkas A, Zelin NS, Barnes G, Dellinger RP, Vincent JL, Braden G, Burdick H, Hoffman J, Calvert J, Mao Q, Das R. Lam C, et al. Clin Ther. 2021 May;43(5):871-885. doi: 10.1016/j.clinthera.2021.03.016. Epub 2021 Mar 29. Clin Ther. 2021. PMID: 33865643 Free PMC article.

6

Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach.

Lam C, Calvert J, Siefkas A, Barnes G, Pellegrini E, Green-Saxena A, Hoffman J, Mao Q, Das R. Lam C, et al. Health Policy Technol. 2021 Sep;10(3):100554. doi: 10.1016/j.hlpt.2021.100554. Epub 2021 Aug 4. Health Policy Technol. 2021. PMID: 34367900 Free PMC article.

7

Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.

Lam C, Tso CF, Green-Saxena A, Pellegrini E, Iqbal Z, Evans D, Hoffman J, Calvert J, Mao Q, Das R. Lam C, et al. JMIR Form Res. 2021 Sep 14;5(9):e28028. doi: 10.2196/28028. JMIR Form Res. 2021. PMID: 34398784 Free PMC article.

8

Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification.

Panchavati S, Lam C, Zelin NS, Pellegrini E, Barnes G, Hoffman J, Garikipati A, Calvert J, Mao Q, Das R. Panchavati S, et al. Among authors: lam c. Healthc Technol Lett. 2021 Aug 31;8(6):139-147. doi: 10.1049/htl2.12017. eCollection 2021 Dec. Healthc Technol Lett. 2021. PMID: 34938570 Free PMC article.

9

Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients.

Tso CF, Lam C, Calvert J, Mao Q. Tso CF, et al. Among authors: lam c. Front Pediatr. 2022 Aug 4;10:886212. doi: 10.3389/fped.2022.886212. eCollection 2022. Front Pediatr. 2022. PMID: 35989982 Free PMC article.

10

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction.

Rahmani K, Thapa R, Tsou P, Casie Chetty S, Barnes G, Lam C, Foon Tso C. Rahmani K, et al. Among authors: lam c. Int J Med Inform. 2023 May;173:104930. doi: 10.1016/j.ijmedinf.2022.104930. Epub 2022 Nov 19. Int J Med Inform. 2023. PMID: 36893656

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