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Development and internal validation of machine learning-based models and external validation of existing risk scores for outcome prediction in patients with ischaemic stroke.
Axford D, Sohel F, Abedi V, Zhu Y, Zand R, Barkoudah E, Krupica T, Iheasirim K, Sharma UM, Dugani SB, Takahashi PY, Bhagra S, Murad MH, Saposnik G, Yousufuddin M. Axford D, et al. Among authors: sohel f. Eur Heart J Digit Health. 2023 Nov 22;5(2):109-122. doi: 10.1093/ehjdh/ztad073. eCollection 2024 Mar. Eur Heart J Digit Health. 2023. PMID: 38505491 Free PMC article.
An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems.
Kwok SWH, Wang G, Sohel F, Kashani KB, Zhu Y, Wang Z, Antpack E, Khandelwal K, Pagali SR, Nanda S, Abdalrhim AD, Sharma UM, Bhagra S, Dugani S, Takahashi PY, Murad MH, Yousufuddin M. Kwok SWH, et al. Among authors: sohel f. Respir Res. 2023 Mar 13;24(1):79. doi: 10.1186/s12931-023-02386-6. Respir Res. 2023. PMID: 36915107 Free PMC article.
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation.
Lu J, Hutchens R, Hung J, Bennamoun M, McQuillan B, Briffa T, Sohel F, Murray K, Stewart J, Chow B, Sanfilippo F, Dwivedi G. Lu J, et al. Among authors: sohel f. Comput Biol Med. 2022 Nov;150:106126. doi: 10.1016/j.compbiomed.2022.106126. Epub 2022 Sep 22. Comput Biol Med. 2022. PMID: 36206696
21 results