OP15.02: The diagnostic accuracy of the NICE risk-stratification algorithm in predicting pre-eclampsia: a systematic review with meta-analysisHEALTH facilitiesLOGITSPREECLAMPSIAECLAMPSIAASPIRINPREGNANCYA systematic review and meta-analysis of 20 studies and 894,527 pregnancies was conducted to evaluate the ...
Lastly, multiple studies have observed improvement for self-supervised pretraining for the task of organ-at-risk segmentation, which plays a vital role in radiotherapy. Pretext tasks included multi-view momentum contrastive learning [107], predicting inter-slice distance [108], and an extension of ...
However, if both interferon response signatures were then to be used to develop a risk stratification tool to predict patient relapse status, the models developed based on these signatures would perform underwhelmingly with the AUC approximately ranging between 0.57 and 0.62 into (Fig. 3A and ...
and such processes are not necessarily synchronized in all cells within the tumor bulk14,15. The development of single-cell sequencing technologies has enabled a more detailed examination of genomic features in treatment-resistant cancers, but the associated analytical methods are just beginning to reve...
Long-term absolute benefit of lowering blood pressure in hypertensive patients according to the JNC VI risk stratification. Hypertension 2000, 35, 539–543. [CrossRef] [PubMed] 4. Kannel, W.B. Blood pressure as a cardiovascular risk factor: Prevention and treatment. Jama 1996, 275, 1571–...
The mass tolerance (mass accuracy) parameter is the basis by which the ApexTrack algorithm determines the regions of interest in the m/z domain, whereas the intensity threshold parameter is used in the peak removal step, defining the resultant noise level and redundancy in the data matrix. ...