Detalhe da pesquisa
1.
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
J Biomed Inform
; 139: 104306, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36738870
2.
Prevalence and Clinical Impact of SARS-CoV-2 Silent Carriers Among Actively Treated Patients with Cancer During the COVID-19 Pandemic.
Oncologist
; 26(4): 341-347, 2021 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33355953
3.
Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study.
PLOS Digit Health
; 3(4): e0000484, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38620037
4.
Free light chains as a reliable biomarker of intrathecal synthesis in the diagnosis of CNS inflammatory diseases.
J Neuroimmunol
; 379: 578091, 2023 06 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-37210840
5.
Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study.
EClinicalMedicine
; 55: 101724, 2023 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-36381999
6.
i2b2 to Optimize Patients Enrollment.
Stud Health Technol Inform
; 281: 506-507, 2021 May 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-34042623
7.
COVID-19 in breast cancer patients: a subanalysis of the OnCovid registry.
Ther Adv Med Oncol
; 13: 17588359211053416, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34777582
8.
International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study.
medRxiv
; 2021 Feb 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33564777
9.
Mining post-surgical care processes in breast cancer patients.
Artif Intell Med
; 105: 101855, 2020 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32505422
10.
Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data.
Stud Health Technol Inform
; 247: 715-719, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29678054