Machine learning based study of longitudinal HbA1c trends and their association with all‐cause mortality: Analyses from a National Diabetes Registry von Cahn, Avivit, Zuker, Inbar, Eilenberg, Roni, Uziel, Moshe, Tsadok, Meytal Avgil, Raz, Itamar, Lutski, Miri

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On the use of balancing scores and matching in testing for exposure effect in case-control studies von Eilenberg, Roni, Heller, Ruth

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Utilizing machine learning to predict unplanned cesarean delivery von Meyer, Raanan, Weisz, Boaz, Eilenberg, Roni, Tsadok, Meytal Avgil, Uziel, Moshe, Sivan, Eyal, Mazaki‐Tovi, Shali, Tsur, Abraham

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Standardization of a Developmental Milestone Scale Using Data From Children in Israel von Sudry, Tamar, Zimmerman, Deena R, Yardeni, Hadar, Joseph, Adina, Baruch, Ravit, Grotto, Itamar, Greenberg, Dan, Eilenberg, Roni, Amit, Guy, Akiva, Pinchas, Tsadok, Meytal Avgil, Rize, Yitzhak, Zaworbach, Hani, Uziel, Moshe, Ben Moshe, Dror, Lior Sadaka, Irit, Bachmat, Eitan, Freedman, Judah, Sadaka, Yair

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MACHINE LEARNING MODELS FOR PREDICTION OF UNPLANNED CESAREAN DELIVERY von TSUR, Abraham, MEYER, Raanan, EILENBERG, Roni

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MACHINE LEARNING MODELS FOR PREDICTION OF UNPLANNED CESAREAN DELIVERY von TSUR, Abraham, MEYER, Raanan, EILENBERG, Roni

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