A highly interpretable machine learning model for predicting lung cancer bone metastasis: uncovering the synergistic effect of routine biochemical markers.
Saved in:
| Title: | A highly interpretable machine learning model for predicting lung cancer bone metastasis: uncovering the synergistic effect of routine biochemical markers. |
|---|---|
| Authors: | Jiang ZF; Department of Geriatric Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui, Province, China. zifeng0915@fy.ahmu.edu.cn., Ke ZY; Department of Geriatric Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui, Province, China., Wang M; Anhui Chest Hospital, 397 Jixi Road, Hefei, 230022, Anhui Province, China., Fu JB; Anhui Chest Hospital, 397 Jixi Road, Hefei, 230022, Anhui Province, China., Zhang YB; Department of Geriatric Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui, Province, China. |
| Source: | Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico [Clin Transl Oncol] 2026 Jun 22. Date of Electronic Publication: 2026 Jun 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Country of Publication: Italy NLM ID: 101247119 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1699-3055 (Electronic) Linking ISSN: 1699048X NLM ISO Abbreviation: Clin Transl Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1699-3055 |
|---|---|
| DOI: | 10.1007/s12094-026-04476-5 |
