Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study
Our findings demonstrate how controllable AI approaches based on complete blood count and MDW may be used for the early detection of sepsis while also demonstrating how the proposed methodology can be used to develop ML models that are more resistant to different types of data distribution shifts.
Authors
- Agostino Ognibene (ORCID: https://orcid.org/0000-0001-5287-4250)
- Mario Plebani (ORCID: https://orcid.org/0000-0002-0270-1711)
- Federico Cabitza (ORCID: https://orcid.org/0000-0002-4065-3415)
- Andrea Campagner (ORCID: https://orcid.org/0000-0002-0027-5157)
- Francesco Curcio (ORCID: https://orcid.org/0000-0002-9070-4807)
- Donatella Poz
- Anna Carobene (ORCID: https://orcid.org/0000-0003-0147-9378)
- Andrea Cortegiani (ORCID: https://orcid.org/0000-0003-1416-9993)
- Marcello Ciaccio (ORCID: https://orcid.org/0000-0001-6120-9041)
- Luisa Agnello (ORCID: https://orcid.org/0000-0003-3458-0421)
- Elena De Vecchi (ORCID: https://orcid.org/0000-0001-9781-8607)
- Andrea Padoan (ORCID: https://orcid.org/0000-0003-1284-7885)
- Fabio Del Ben (ORCID: https://orcid.org/0000-0002-1880-0669)
- Maria Lorubbio (ORCID: https://orcid.org/0000-0003-2786-0994)
- Elisa Piva (ORCID: https://orcid.org/0000-0003-4174-3153)
- Massimo Locatelli
Institutions
- University of Udine (IT)
- University of Padua (IT)
- Vita-Salute San Raffaele University (IT)
- Istituto Clinico Sant'Ambrogio (IT)
- Azienda Socio Sanitaria Territoriale Lariana (IT)
- Centro di Riferimento Oncologico (IT)
- Ospedale San Donato (IT)
- Azienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
- University of Milano-Bicocca (IT)
- University of Palermo (IT)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-09-09
- DOI
- https://doi.org/10.2196/55492
- Citations
- 9
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.48