Prediction of high-beta disruptions in JT-60U based on sparse modeling using exhaustive search

•Disruption predictor based on high-beta plasma experimental data in JT-60U.•Input plasma parameters are selected by sparse modeling using exhaustive search.•Performance of prediction is improved by extracting input parameters.•Key parameters including magnetic fluctuation and its time delivered are extracted.•False alarm rate is improved considering temporal change of parameters.