An Internet of Things (IoT) enabled medicine recommendation system for heart disease patients relies on remote monitoring of key health metrics like blood pressure and cholesterol levels. Machine learning algorithms can evaluate real-time data from heart disease patients to prescribe individualized drug ...
A recent trend in transfer learning is to use self-supervised learning over large general datasets to derive a general purpose pretrained model that captures the intrinsic structure of the data, which can be applied to a specific task with a specific dataset by fine-tuning. This pretraining ...
aPre-processing methods.D1,D2: Two independent datasets;Dorigin,Dsynthesis: The original dataset and synthesized dataset.bIn-processing methods.\({\mathbb{FE}},{\mathbb{TB}},{\mathbb{SB}}\): Feature Extractor, Target Branch, and Sensitive Branch, which are three parts of an adversarial net...
Interpreting a neural model from an initial oncology document not included in our dataset showed an example of how the models make their predictions. In this document, shown here by an analogous synthesized document, the CNN model used current pain and a family history of cancer to predict ...
If your research data has been made available in a data repository there are a number of ways your article can be linked directly to the dataset: Provide a link to your dataset when prompted during the online submission process. For some data repositories, a repository banner will automatically...
If your research data has been made available in a data repository there are a number of ways your article can be linked directly to the dataset: Provide a link to your dataset when prompted during the online submission process. For some data repositories, a repository banner will automatically...
There are different ways to link your datasets to your article. When available, you can directly link your dataset to your article by providing the relevant information in the submission system. For more information, visit thedatabase linking page. ...
For this study, we also abstracted data on history of UTI from the medical records of children in the validation dataset because the data were not abstracted for our last study.3 In the primary analysis, we compared the odds of UTI in non-Black (ie, White, Asian, other) children vs ...
The estimated effect of opt-in versus opt-out consent was based at the average GDP, RTA, hospital beds and with Catholicism and legal system relative to the proportion in each category. The results show that across the dataset, there were significantly more deceased donors in opt-out than ...
This section sets out to give an overview of some medical decision support computer systems (Section 2.1) and a general description of the KDD process and data mining techniques (Section 2. 2) usually used as part of this process in order to discover knowledge from a dataset. Additionally, ...