Pith. sign in

REVIEW

AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2206.06182 v2 pith:MK54D25T submitted 2022-06-13 cs.LG cs.DB

Marianna Maranghi , Aris Anagnostopoulos , Irene Cannistraci , Ioannis Chatzigiannakis , Federico Croce , Giulia Di Teodoro , Michele Gentile , Giorgio Grani
show 8 more authors
Maurizio Lenzerini Stefano Leonardi Andrea Mastropietro Laura Palagi Massimiliano Pappa Riccardo Rosati Riccardo Valentini Paola Velardi
This is my paper · ORCID
classification cs.LGcs.DB
keywords dataai-basedanalyticsanalyzingapplicationartificialassociazionebetter
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database. This paper presents the initial results of an ongoing project whose focus is the application of Artificial Intelligence and Machine Learning techniques for conceptualizing, cleaning, and analyzing such an important and valuable dataset, with the goal of providing predictive insights to better support diabetologists in their diagnostic and therapeutic choices.

Discussion (0). Continue with ORCID to comment.

Pith tools