Zimlichman E - Search Results

1

Obesity as a mortality risk factor in the medical ward: a case control study.

Soffer S, Zimlichman E, Glicksberg BS, Efros O, Levin MA, Freeman R, Reich DL, Klang E. Soffer S, et al. Among authors: zimlichman e. BMC Endocr Disord. 2022 Jan 6;22(1):13. doi: 10.1186/s12902-021-00912-5. BMC Endocr Disord. 2022. PMID: 34991575 Free PMC article.

2

Predicting In-Hospital Mortality at Admission to the Medical Ward: A Big-Data Machine Learning Model.

Soffer S, Klang E, Barash Y, Grossman E, Zimlichman E. Soffer S, et al. Among authors: zimlichman e. Am J Med. 2021 Feb;134(2):227-234.e4. doi: 10.1016/j.amjmed.2020.07.014. Epub 2020 Aug 15. Am J Med. 2021. PMID: 32810465

3

The association between obesity and peak antibody titer response in COVID-19 infection.

Soffer S, Glicksberg BS, Zimlichman E, Efros O, Levin MA, Freeman R, Reich DL, Klang E. Soffer S, et al. Among authors: zimlichman e. Obesity (Silver Spring). 2021 Sep;29(9):1547-1553. doi: 10.1002/oby.23208. Epub 2021 Aug 2. Obesity (Silver Spring). 2021. PMID: 33945220 Free PMC article.

4

Synergistic effect of hypoalbuminaemia and hypotension in predicting in-hospital mortality and intensive care admission: a retrospective cohort study.

Klang E, Soffer S, Zimlichman E, Zebrowski A, Glicksberg BS, Grossman E, Reich DL, Freeman R, Levin MA. Klang E, et al. Among authors: zimlichman e. BMJ Open. 2021 Oct 27;11(10):e050216. doi: 10.1136/bmjopen-2021-050216. BMJ Open. 2021. PMID: 34706952 Free PMC article.

5

Machine learning to predict in-hospital mortality among patients with severe obesity: Proof of concept study.

Soffer S, Zimlichman E, Levin MA, Zebrowski AM, Glicksberg BS, Freeman R, Reich DL, Klang E. Soffer S, et al. Among authors: zimlichman e. Obes Sci Pract. 2022 Mar 24;8(4):474-482. doi: 10.1002/osp4.571. eCollection 2022 Aug. Obes Sci Pract. 2022. PMID: 35949284 Free PMC article.

6

A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score.

Klug M, Barash Y, Bechler S, Resheff YS, Tron T, Ironi A, Soffer S, Zimlichman E, Klang E. Klug M, et al. Among authors: zimlichman e. J Gen Intern Med. 2020 Jan;35(1):220-227. doi: 10.1007/s11606-019-05512-7. Epub 2019 Nov 1. J Gen Intern Med. 2020. PMID: 31677104 Free PMC article.

7

Association of normal systolic blood pressure in the emergency department with higher in-hospital mortality among hypertensive patients.

Klang E, Soffer S, Shimon Shahar M, Barash Y, Apter S, Konen E, Zimlichman E, Grossman E. Klang E, et al. Among authors: zimlichman e. J Clin Hypertens (Greenwich). 2019 Dec;21(12):1841-1848. doi: 10.1111/jch.13727. Epub 2019 Nov 19. J Clin Hypertens (Greenwich). 2019. PMID: 31742884 Free PMC article.

8

Normal-range emergency department serum phosphorus levels and all-cause mortality.

Barash Y, Klang E, Soffer S, Zimlichman E, Leibowitz A, Grossman E, Shlomai G. Barash Y, et al. Among authors: zimlichman e. Postgrad Med J. 2021 Feb;97(1144):83-88. doi: 10.1136/postgradmedj-2019-137159. Epub 2020 Jan 13. Postgrad Med J. 2021. PMID: 31932356

9

Alerting on mortality among patients discharged from the emergency department: a machine learning model.

Barash Y, Soffer S, Grossman E, Tau N, Sorin V, BenDavid E, Irony A, Konen E, Zimlichman E, Klang E. Barash Y, et al. Among authors: zimlichman e. Postgrad Med J. 2022 Mar;98(1157):166-171. doi: 10.1136/postgradmedj-2020-138899. Epub 2020 Dec 3. Postgrad Med J. 2022. PMID: 33273105

10

BERT for the Processing of Radiological Reports: An Attention-based Natural Language Processing Algorithm.

Soffer S, Glicksberg BS, Zimlichman E, Klang E. Soffer S, et al. Among authors: zimlichman e. Acad Radiol. 2022 Apr;29(4):634-635. doi: 10.1016/j.acra.2021.03.036. Epub 2021 Aug 4. Acad Radiol. 2022. PMID: 34362663 No abstract available.

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