Author:
Rahman Shelia,Khan Md. Imran,Satu Md. Shahriare,Abedin Mohammad Zoynul
Publisher
Springer International Publishing
Reference32 articles.
1. Bradley, D., Landau, E., Wolfberg, A., Baron, A.: Predicting obstetric disease with machine learning applied to patient-reported data. J. Med. Internet Res. 20(9) (2018)
2. Romeo, V., Ricciardi, C., Cuocolo, R., Stanzione, A., Verde, F., Sarno, L., Maurea, S.: Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa. Magn. Reson. Imaging (2019)
3. Amin, M., Ali, A.: Performance Evaluation of Supervised Machine Learning Classifiers for Predicting Healthcare Operational Decisions. Wavy AI Research Foundation, Lahore, Pakistan (2018)
4. Polat, K.: A hybrid approach to parkinson disease classification using speech signal: the combination of SMOTE and random forests. In: 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT), pp. 1–3. IEEE (2019)
5. Lakhani, P., Prater, A.B., Hutson, R.K., Andriole, K.P., Dreyer, K.J., Morey, J., Prevedello, L.M., Clark, T.J., Geis, J.R., Itri, J.N., Hawkins, C.M.: Machine learning in radiology: applications beyond image interpretation. J. Am. Coll. Radiol. 15(2), 350–359 (2018)
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