BioMed Research International / 2021 / Article / Tab 2

Research Article

Using Machine Learning to Unravel the Value of Radiographic Features for the Classification of Bone Tumors

Table 2

Patients characteristics: training, validation and test sets.

CharacteristicsBinary modelTertiary model
Training and validation setTest setTraining and validation setTest set

No. of patients438189557239
Age (y)
Pathological results
Biopsy benign for bone tumor298 (68.0)114 (60.3)289 (51.9)123 (51.5)
Biopsy malignant for bone tumor140 (32.0)75 (39.7)150 (26.9)65 (27.2)
Biopsy intermediate for bone tumor00118 (21.2)51 (21.3)

Note: unless otherwise indicated, data are numbers (%) of patient. Data are .

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