The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2407/13/263/prepub We thank Olga Siarabi (Data Manager) and Maria Moschoni (Study Secretary and editorial assistance) for their contributions in this study, and Dr Eleftheria Hatzimichael for critical reading and language editing of the manuscript.
We acknowledge the study participants in the NHS for their contribution in making this study possible.
We thank Junfeng (Jim Zhang, Marina J. Canner, Miguel Craig, Monica Zigman and William Roachee for their contributions in the study.
The SECGS would like to thank research staff and participants of the Shanghai Endometrial Cancer Study and Shanghai Breast Cancer Study for their contributions in the study.
We would also like to thank the heads of Hadiya Zonal Woman and Child Affairs, Health, and Education sectors, each of the four school principals, facilitators of data collection and study participants for their contribution to this study in many ways.
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1472-6920/10/19/prepub The authors would like to thank colleagues from the School of Nursing and Midwifery for their contribution to this study and colleagues in the Royal Belfast Hospital for Sick Children for their co-operation and access to the necessary facilities and equipment.
Without understanding the effect of individual game elements, it is difficult to identify their contribution in studies that mix several game elements together.
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2334/11/313/prepub We thank our colleagues Doyen M., RN, Biarent D., MD, Schurmans T., MD, for their careful management of patients during the H1N1 2009 epidemic and for their contribution in the realization of this study.
The contribution in this study is twofold, first contribution (discriminant function) is in BBN structure learning and second contribution is for Decision Stump classifier.
The automated analysis is considered as the main contribution in this study.
