Integrating Machine Learning for Personalized Fracture Risk Assessment: A Multimodal Approach
Sheikh Mohd Saleem, Shah Sumaya Jan · 2024
Read Integrating Machine Learning for Personalized Fracture Risk Assessment: A Multimodal Approach by Sheikh Mohd Saleem, Shah Sumaya Jan (2024) 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-11605153.txt.
Description
Saleem and Jan wrote a letter in twenty twenty-four on use of learned tools for bone break risk checks fit to each case. They praise a past piece that sums work on such tools in family care. A large group work used bone density and bone score data to guess breaks well.
They urge add-ing more kinds of data, like genes, life style, and blood marks, to lift truth. Tools should also show their grounds in plain form so staff and patients can trust them. Long-run data, not just one-time reads, can track risk shift in time. Bor-rowed learn-ing from big sets may help when data are thin.
Catalog record
| CREATOR | Sheikh Mohd Saleem, Shah Sumaya Jan |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 4 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |