5 supporting tables and additional description on the webserver development.
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posted on 2025-02-04, 18:23 authored by Ali Safdari, Chanda Sai Keshav, Deepanshu Mody, Kshitij Verma, Utsav Kaushal, Vaadeendra Kumar Burra, Sibnath Ray, Debashree Bandyopadhyay5 supporting tables and additional description on the webserver development.
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sufficient sample sizeseven ml classifiersraw sample sizeauc scores rangehaematological parameters recordedfourteen haematological parametersworking models includeml models reporteddiv >< pbased prediction scoreslearning based approaches19 prediction toolexternal performances revealedprobabilistic predictionhematological parametersxgboost modelsmachine learninginternal performancescurrent modelsbased detectionswestern europereport externalreference rangesprior trainingpresent studypcr ),less exploredhematological featuresgood accuracygold standardfully investigatedfewer numbereither fourearlier studydifferent hospitalsdevelop machinedemographic locations97 %)87 %).195554 ).19 detection
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