In the last several years (indeed since October, 2010), I have been engaged, with a team of researchers, in collecting data and constructing a new approach to modeling and monitoring fetal growth. The modeling approach is based on Response Modeling Methodology (RMM; see at Wikipedia), a new modeling approach that I have been developing in the last decade or so. The monitoring approach is based on modern principles of Statistical Process Control (SPC), more specifically, SPC-based monitoring of non-linear profiles.
With me in the research team is Dr. Diamanta Benson-Karhi, the initiator of this research effort (from the Open University of Israel), Prof. Asher Bashiri (of the Soroka Medical Center, affiliated to Ben-Gurion (BG) University), and, until recently, Mrs. Maya Malamud, who has just concluded her MSc studies, conducting research and supervising several undergraduate final-project teams in my department at BG University.
A first published document, describing the methodology developed within this research effort, is to appear in the June issue (2014) of Quality Engineering, a journal affiliated to the ASQ (American Society for Quality).
Update (June, 24, 2024): Here are links to the two published papers:
- Diamanta Benson-Karhi, Haim Shore, Maya Malamud. Modelling Fetal-Growth Biometry with Response Modeling Methodology (RMM) and Comparison to Current Models. Article. January 2017. Communication in Statistics- Simulation and Computation. DOI: 10.1080/03610918.2017.1280160
- Haim Shore, Diamanta Benson-Karhi, Maya Malamud, Asher Bashiri. Customized fetal growth modelling and monitoring-a statistical process control approach. Article. July 2014. Quality Engineering. DOI: 1080/08982112.2013.830742
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