Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection.
Rachel SippyDaniel F FarrellDaniel A LichtensteinRyan NightingaleMegan A HarrisJoseph TothParis HantztidiamantisNicholas UsherCinthya Cueva AponteJulio Barzallo AguilarAnthony PuthumanaChristina D LuponeTimothy EndySadie Jane RyanAnna M Stewart IbarraPublished in: PLoS neglected tropical diseases (2020)
Both SISA and SISAL were able to predict arbovirus hospitalization with a high degree of accuracy in our dataset. These algorithms will need to be tested and validated on new data from future patients. Machine learning is a powerful prediction tool and provides an excellent option for new management tools and clinical assessment of arboviral infection.