Model database
Every published prediction model identified by the systematic review. Click a row for full extraction details, PROBAST domains, and a plain-language summary.
Showing 9 of 54 models
| Modelling Method | Publicly available | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Hildrew et al. | 2024 | USA | Stereotactic Radiosurgery | Hearing Function | Cox Regression | 109 | C-index 0.662 | High risk of bias | No |
| Bossi Zanetti et al. | 2023 | Italy | Stereotactic Radiosurgery | Tumour Growth | ANN / Deep Learning | 108 | — | High risk of bias | No |
| George Jones et al. | 2021 | USA | Stereotactic Radiosurgery | Tumour Growth | SVM | 53 | AUC 0.750 | High risk of bias | No |
| Shi et al. | 2021 | China | Stereotactic Radiosurgery | Recurrence / Regrowth | Cox Regression | 67 | AUC 0.889 | High risk of bias | Yes |
| Yang et al. | 2021 | China | Stereotactic Radiosurgery | Regression vs Non-Response vs Pseudoprogression | SVM | 336 | AUC 0.923 | High risk of bias | No |
| Langenhuizen et al. | 2020 | The Netherlands | Stereotactic Radiosurgery | Tumour Enlargement | SVM | 99 | AUC 0.900 | High risk of bias | No |
| Langenhuizen et al. | 2020 | The Netherlands | Stereotactic Radiosurgery | Tumour Control | SVM | 83 | AUC 0.930 | High risk of bias | No |
| Senova et al. | 2016 | France | Stereotactic Radiosurgery | Trigeminal Neuropathy | Logistic Regression | 179 | AUC 0.890 | High risk of bias | Yes |
| Meeks et al. | 2000 | USA | Stereotactic Radiosurgery | Facial or Trigeminal Neuropathy | Other | 118 | — | High risk of bias | No |