Patient-Centred Gestational Diabetes Care: Preference Elicitation Methods and Machine Learning Innovations
Shaikha Alharmoodi, Mariam Al Nweran, Imad El-Kebbi, Dean Everett, Saleh Mohamed Ibrahim, Joviana Farhat, Basem Al-Omari · 2025
Read Patient-Centred Gestational Diabetes Care: Preference Elicitation Methods and Machine Learning Innovations by Shaikha Alharmoodi, Mariam Al Nweran, Imad El-Kebbi, Dean Everett, Saleh Mohamed Ibrahim, Joviana Farhat, Basem Al-Omari (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12744825.txt.
Description
Shaikha Alharmoodi and co-authors review how care for gestational diabetes can be built round what patients want. The condition calls for long-term care, frequent visits, and extra costs next to a normal pregnancy. Patients prize services that save time, cut costs, and make screening simple. They value telehealth because it trims travel and waiting. For screening itself, they want tests that are accurate, cheap, and easy to attend.
The review sums up how patient views on time, cost, and screening have been gathered: talks, surveys that weigh trade-offs, and mixed designs that do both. It then adds machine learning, where new models sharpen prediction and early spotting. By joining the two strands, the review hands planners a brief. Screening should start earlier and work smarter, yet stay cheaper, faster, and shaped by the women who must show up for it.
Catalog record
| CREATOR | Shaikha Alharmoodi, Mariam Al Nweran, Imad El-Kebbi, Dean Everett, Saleh Mohamed Ibrahim, Joviana Farhat, Basem Al-Omari |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |