Xu Z - Search Results

1

Machine learning identification of thresholds to discriminate osteoarthritis and rheumatoid arthritis synovial inflammation.

Mehta B, Goodman S, DiCarlo E, Jannat-Khah D, Gibbons JAB, Otero M, Donlin L, Pannellini T, Robinson WH, Sculco P, Figgie M, Rodriguez J, Kirschmann JM, Thompson J, Slater D, Frezza D, Xu Z, Wang F, Orange DE. Mehta B, et al. Among authors: xu z. Arthritis Res Ther. 2023 Mar 2;25(1):31. doi: 10.1186/s13075-023-03008-8. Arthritis Res Ther. 2023. PMID: 36864474 Free PMC article.

2

Deep learning in mental health outcome research: a scoping review.

Su C, Xu Z, Pathak J, Wang F. Su C, et al. Among authors: xu z. Transl Psychiatry. 2020 Apr 22;10(1):116. doi: 10.1038/s41398-020-0780-3. Transl Psychiatry. 2020. PMID: 32532967 Free PMC article. Review.

3

Artificial intelligence for COVID-19: battling the pandemic with computational intelligence.

Xu Z, Su C, Xiao Y, Wang F. Xu Z, et al. Intell Med. 2022 Feb;2(1):13-29. doi: 10.1016/j.imed.2021.09.001. Epub 2021 Oct 21. Intell Med. 2022. PMID: 34697578 Free PMC article. Review.

4

Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care.

Rajendran S, Xu Z, Pan W, Ghosh A, Wang F. Rajendran S, et al. Among authors: xu z. PLOS Digit Health. 2023 Mar 15;2(3):e0000117. doi: 10.1371/journal.pdig.0000117. eCollection 2023 Mar. PLOS Digit Health. 2023. PMID: 36920974 Free PMC article.

5

An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals.

Pan W, Xu Z, Rajendran S, Wang F. Pan W, et al. Among authors: xu z. Patterns (N Y). 2023 Dec 26;5(1):100898. doi: 10.1016/j.patter.2023.100898. eCollection 2024 Jan 12. Patterns (N Y). 2023. PMID: 38264713 Free PMC article.

6

Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.

Xu Z, Luo Y, Adekkanattu P, Ancker JS, Jiang G, Kiefer RC, Pacheco JA, Rasmussen LV, Pathak J, Wang F. Xu Z, et al. Stud Health Technol Inform. 2019 Aug 21;264:462-466. doi: 10.3233/SHTI190264. Stud Health Technol Inform. 2019. PMID: 31437966 Free PMC article.

7

Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.

Xu Z, Chou J, Zhang XS, Luo Y, Isakova T, Adekkanattu P, Ancker JS, Jiang G, Kiefer RC, Pacheco JA, Rasmussen LV, Pathak J, Wang F. Xu Z, et al. J Biomed Inform. 2020 Feb;102:103361. doi: 10.1016/j.jbi.2019.103361. Epub 2020 Jan 3. J Biomed Inform. 2020. PMID: 31911172 Free article.

8

Subphenotyping depression using machine learning and electronic health records.

Xu Z, Wang F, Adekkanattu P, Bose B, Vekaria V, Brandt P, Jiang G, Kiefer RC, Luo Y, Pacheco JA, Rasmussen LV, Xu J, Alexopoulos G, Pathak J. Xu Z, et al. Among authors: xu j. Learn Health Syst. 2020 Aug 3;4(4):e10241. doi: 10.1002/lrh2.10241. eCollection 2020 Oct. Learn Health Syst. 2020. PMID: 33083540 Free PMC article.

9

Sepsis subphenotyping based on organ dysfunction trajectory.

Xu Z, Mao C, Su C, Zhang H, Siempos I, Torres LK, Pan D, Luo Y, Schenck EJ, Wang F. Xu Z, et al. Crit Care. 2022 Jul 3;26(1):197. doi: 10.1186/s13054-022-04071-4. Crit Care. 2022. PMID: 35786445 Free PMC article.

10

Multimodal machine learning in precision health: A scoping review.

Kline A, Wang H, Li Y, Dennis S, Hutch M, Xu Z, Wang F, Cheng F, Luo Y. Kline A, et al. Among authors: xu z. NPJ Digit Med. 2022 Nov 7;5(1):171. doi: 10.1038/s41746-022-00712-8. NPJ Digit Med. 2022. PMID: 36344814 Free PMC article. Review.

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