Artificial Intelligence applied to small quantities of data (Small Data) can provide value for healthcare practitioners and medical researchers. The point here is to understand whether the specific data a hospital or a practitioner gathers in its practice is sufficient to build models that will help doctors. Those models can be used to predict and detect various forms of diseases. It could be used to predict COVID infection in patients, predict ICU admissions or even to diagnose uterus cancer based on genes.
Medical researchers and doctors can use Machine Learning on a medical database with reasonable accuracy. It can be used on a day-to-day basis by medical doctors to diagnose, understand. And it can be used daily by researchers, data analysts and scientists to explore and analyze. The models are fast to build, quick to run, and agile to apply to new patients’ cases. Nevertheless, it can do more than give predictions. It can contribute to enter into the data set’s heart and extract the critical criteria impacting the results.
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