Cabitza F - Search Results

1

Spine surgery registries: hope for evidence-based spinal care?

Ismael M, Villafañe JH, Cabitza F, Banfi G, Berjano P. Ismael M, et al. Among authors: cabitza f. J Spine Surg. 2018 Jun;4(2):456-458. doi: 10.21037/jss.2018.05.19. J Spine Surg. 2018. PMID: 30069542 Free PMC article. Review.

2

Machine learning in laboratory medicine: waiting for the flood?

Cabitza F, Banfi G. Cabitza F, et al. Clin Chem Lab Med. 2018 Mar 28;56(4):516-524. doi: 10.1515/cclm-2017-0287. Clin Chem Lab Med. 2018. PMID: 29055936 Free article. Review.

3

Minimal Important Difference in Outcome of Disc Degenerative Disease Treatment: The Patients' Perspective.

Dui LG, Cabitza F, Berjano P. Dui LG, et al. Among authors: cabitza f. Stud Health Technol Inform. 2018;247:321-325. Stud Health Technol Inform. 2018. PMID: 29677975

4

Machine Learning in Orthopedics: A Literature Review.

Cabitza F, Locoro A, Banfi G. Cabitza F, et al. Front Bioeng Biotechnol. 2018 Jun 27;6:75. doi: 10.3389/fbioe.2018.00075. eCollection 2018. Front Bioeng Biotechnol. 2018. PMID: 29998104 Free PMC article. Review.

5

The elephant in the record: On the multiplicity of data recording work.

Cabitza F, Locoro A, Alderighi C, Rasoini R, Compagnone D, Berjano P. Cabitza F, et al. Health Informatics J. 2019 Sep;25(3):475-490. doi: 10.1177/1460458218824705. Epub 2019 Jan 22. Health Informatics J. 2019. PMID: 30666882 Free article.

6

PROs in the wild: Assessing the validity of patient reported outcomes in an electronic registry.

Cabitza F, Dui LG, Banfi G. Cabitza F, et al. Comput Methods Programs Biomed. 2019 Nov;181:104837. doi: 10.1016/j.cmpb.2019.01.009. Epub 2019 Jan 17. Comput Methods Programs Biomed. 2019. PMID: 30709564

7

Assessment and prediction of spine surgery invasiveness with machine learning techniques.

Campagner A, Berjano P, Lamartina C, Langella F, Lombardi G, Cabitza F. Campagner A, et al. Among authors: cabitza f. Comput Biol Med. 2020 Jun;121:103796. doi: 10.1016/j.compbiomed.2020.103796. Epub 2020 May 16. Comput Biol Med. 2020. PMID: 32568677

8

Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study.

Brinati D, Campagner A, Ferrari D, Locatelli M, Banfi G, Cabitza F. Brinati D, et al. Among authors: cabitza f. J Med Syst. 2020 Jul 1;44(8):135. doi: 10.1007/s10916-020-01597-4. J Med Syst. 2020. PMID: 32607737 Free PMC article.

9

Role of time-normalized laboratory findings in predicting COVID-19 outcome.

Ferrari D, Seveso A, Sabetta E, Ceriotti D, Carobene A, Banfi G, Locatelli M, Cabitza F. Ferrari D, et al. Among authors: cabitza f. Diagnosis (Berl). 2020 Nov 18;7(4):387-394. doi: 10.1515/dx-2020-0095. Diagnosis (Berl). 2020. PMID: 33035183 Free article.

10

Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests.

Cabitza F, Campagner A, Ferrari D, Di Resta C, Ceriotti D, Sabetta E, Colombini A, De Vecchi E, Banfi G, Locatelli M, Carobene A. Cabitza F, et al. Clin Chem Lab Med. 2020 Oct 21;59(2):421-431. doi: 10.1515/cclm-2020-1294. Clin Chem Lab Med. 2020. PMID: 33079698 Free article.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

82 results

Search Page

Filters