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Low birth weight is quite possibly the main attribute that significantly depicts an unusual fetal result. These expectations are assessed in a constant experimental decision support system, providing valuable information that can be used to obtain additional information about the fetal state using machine learning techniques. The advancements in modern obstetric practice enabled the use of numerous reliable and robust machine learning approaches in classifying fetal heart rate signals. The Na\u00efve Bayes (NB) classifier, support vector machine (SVM), decision trees (DT), and random forest (RF) are used in the proposed method. To assess these outcomes in the proposed method, some of the metrics such as precision, accuracy, F1 score, recall, sensitivity, logarithmic loss and mean absolute error have been taken. The above mentioned metrics will be helpful to predict the fetal risk. <\/jats:p>","DOI":"10.1142\/s0219467822500450","type":"journal-article","created":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T08:45:11Z","timestamp":1635410711000},"source":"Crossref","is-referenced-by-count":8,"title":["Machine Learning Techniques for Identifying Fetal Risk During Pregnancy"],"prefix":"10.1142","volume":"22","author":[{"given":"S.","family":"Ravikumar","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala, R&D Institute of Science and Technology, Avadi, Chennai 600062, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E.","family":"Kannan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala, R&D Institute of Science and Technology, Avadi, Chennai 600062, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,10,27]]},"reference":[{"key":"S0219467822500450BIB001","doi-asserted-by":"publisher","DOI":"10.33832\/ijgdc.2019.12.1.03"},{"issue":"8","key":"S0219467822500450BIB002","volume":"10","author":"Amin B.","year":"2019","journal-title":"Machine Learning"},{"key":"S0219467822500450BIB003","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIC.2014.7238403"},{"issue":"3","key":"S0219467822500450BIB004","volume":"67","author":"Anitha A.","year":"2014","journal-title":"Journal of Theoretical & Applied Information Technology"},{"key":"S0219467822500450BIB005","doi-asserted-by":"publisher","DOI":"10.1111\/j.1471-0528.1999.tb08187.x"},{"issue":"5","key":"S0219467822500450BIB006","first-page":"311","volume":"9","author":"Ayres-de-Campos D.","year":"2000","journal-title":"J. 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