Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

52 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.
Weber GM, Hong C, Xia Z, Palmer NP, Avillach P, L'Yi S, Keller MS, Murphy SN, Gutiérrez-Sacristán A, Bonzel CL, Serret-Larmande A, Neuraz A, Omenn GS, Visweswaran S, Klann JG, South AM, Loh NHW, Cannataro M, Beaulieu-Jones BK, Bellazzi R, Agapito G, Alessiani M, Aronow BJ, Bell DS, Benoit V, Bourgeois FT, Chiovato L, Cho K, Dagliati A, DuVall SL, Barrio NG, Hanauer DA, Ho YL, Holmes JH, Issitt RW, Liu M, Luo Y, Lynch KE, Maidlow SE, Malovini A, Mandl KD, Mao C, Matheny ME, Moore JH, Morris JS, Morris M, Mowery DL, Ngiam KY, Patel LP, Pedrera-Jimenez M, Ramoni RB, Schriver ER, Schubert P, Balazote PS, Spiridou A, Tan ALM, Tan BWL, Tibollo V, Torti C, Trecarichi EM, Wang X; Consortium for Clinical Characterization of COVID-19 by EHR (4CE); Kohane IS, Cai T, Brat GA. Weber GM, et al. Among authors: tibollo v. NPJ Digit Med. 2022 Jun 13;5(1):74. doi: 10.1038/s41746-022-00601-0. NPJ Digit Med. 2022. PMID: 35697747 Free PMC article.
R engine cell: integrating R into the i2b2 software infrastructure.
Segagni D, Ferrazzi F, Larizza C, Tibollo V, Napolitano C, Priori SG, Bellazzi R. Segagni D, et al. Among authors: tibollo v. J Am Med Inform Assoc. 2011 May 1;18(3):314-7. doi: 10.1136/jamia.2010.007914. Epub 2011 Jan 24. J Am Med Inform Assoc. 2011. PMID: 21262924 Free PMC article.
CARDIO-i2b2: integrating arrhythmogenic disease data in i2b2.
Segagni D, Tibollo V, Dagliati A, Napolitano C, G Priori S, Bellazzi R. Segagni D, et al. Among authors: tibollo v. Stud Health Technol Inform. 2012;180:1126-8. Stud Health Technol Inform. 2012. PMID: 22874375
Clinical and research data integration: the i2b2-FSM experience.
Segagni D, Tibollo V, Dagliati A, Malovini A, Zambelli A, Napolitano C, Priori SG, Bellazzi R. Segagni D, et al. Among authors: tibollo v. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:239-40. eCollection 2013. AMIA Jt Summits Transl Sci Proc. 2013. PMID: 24303274
Beyond Cohort Selection: An Analytics-Enabled i2b2.
Gabetta M, Malovini A, Bucalo M, Zini E, Tibollo V, Priori SG, Vettoretti S, Larizza C, Bellazzi R, Barbarini N. Gabetta M, et al. Among authors: tibollo v. Stud Health Technol Inform. 2016;228:572-6. Stud Health Technol Inform. 2016. PMID: 27577448
Machine Learning Methods to Predict Diabetes Complications.
Dagliati A, Marini S, Sacchi L, Cogni G, Teliti M, Tibollo V, De Cata P, Chiovato L, Bellazzi R. Dagliati A, et al. Among authors: tibollo v. J Diabetes Sci Technol. 2018 Mar;12(2):295-302. doi: 10.1177/1932296817706375. Epub 2017 May 12. J Diabetes Sci Technol. 2018. PMID: 28494618 Free PMC article.
52 results