A Pilot Machine Learning Study Using Trauma Admission Data to Identify Risk for High Length of Stay.
David P StonkoJennine H WellerAndres Gonzalez SalazarHossam AbdouJoseph EdwardsJeremiah HinsonScott LevinJames P ByrneJoseph V SakranCaitlin W HicksElliott R HautJonathan J MorrisonAlistair J KentPublished in: Surgical innovation (2022)
Machine learning can predict, with excellent specificity, trauma patients who will have prolonged length of stay with only physiologic and demographic data available at the time of admission. These patients may benefit from additional resources with respect to disposition planning at the time of admission.