Table 1 Dataset input assessed by the machine learning algorithms.

From: On the prediction of tibiofemoral contact forces for healthy individuals and osteoarthritis patients during gait: a comparative study of regression methods

Dataset

Predictors

Input 1

Input 2

Input 3

Kinetic primary data

Vertical GRF (1st peak)

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Vertical GRF (2nd peak)

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Vertical GRF (curve integral)

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Anteroposterior GRF (peak value)

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Anteroposterior GRF (minimum value)

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Mediolateral GRF (1st peak)

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Mediolateral GRF (2nd peak)

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Kinematic primary data

Hip: peak flexion angle

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Hip: peak extension angle

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Hip: flexion/extension ROM

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Hip: peak abduction angle

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Hip: peak adduction angle

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Hip: abduction/adduction ROM

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Knee: peak flexion angle

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Knee: peak extension angle

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Knee: flexion/extension ROM

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Joint Moments

Hip: peak flexion moment

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Hip: peak extension moment

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Hip: abduction moment (1st peak)

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Hip: abduction moment (2nd peak)

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Knee: peak flexion moment

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Knee: peak extension moment

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Muscle forces

Vastus medialis peak

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Vastus medialis curve integral

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Vastus lateralis peak

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Vastus lateralis curve integral

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Vastus intermedius peak

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Vastus intermedius curve integral

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Rectus femoris first peak

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Rectus femoris second peak

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Rectus femoris curve integral

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Biceps femoris (long head) peak

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Biceps femoris (long head) curve integral

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Biceps femoris (short head) peak

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Biceps femoris (short head) curve integral

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Semimembranosus peak

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Semimembranosus curve integral

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Semitendinosus peak

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Semitendinosus curve integral

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Gastrocnemius medialis peak

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Gastrocnemius medialis integral

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Gastrocnemius lateralis peak

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Gastrocnemius lateralis integral

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Hip abductors first peak

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Hip abductors second peak

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Hip abductors curve integral

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Gluteus medius first peak

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Gluteus medius second peak

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Gluteus medius curve integral

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