Both the data mining and healthcare industry have emerged some of reliable early detection system and other various healthcare related systems from the clinical and diagnosis data. In this paper we use support vector machine (SVM) and logistic regression to identify the lower back pain disease. ...
The usage of wearable devices has gained popularity in the latest years, especially for health-care and well being. Recently there has been an increasing interest in using these devices to improve the management of chronic diseases such as diabetes. The quality of data acquired through wearable se...
], national and facility-level decision-makers require comparable newborn inpatient data relating to interventions, survival, and follow-up care to track national progress towards these coverage and quality of care targets [1]. Routine Healthcare Information Systems (RHIS) are a building block of ...
With the unprecedented growth of biomedical publications, it is important to have structured abstracts in bibliographic databases (i.e., PubMed), thus, to ... Y Hu,Y Chen,H Xu - 《Journal of Healthcare Informatics Research》 被引量: 0发表: 2023年 LSTM-based Deep Neural Network With A ...
Large language models (LLMs) have the potential to enhance the verification of health claims. However, issues with hallucination and comprehension of logical statements require these models to be closely scrutinized in healthcare applications. We introduce CliniFact, a scientific claim dataset created ...
As the COVID-19 virus quickly spreads around the world, unfortunately, misinformation related to COVID-19 also gets created and spreads like wild fire. Such misinformation has caused confusion among people, disruptions in society, and even deadly consequences in health problems. To be able to und...
Individuals seeking care for this syndrome are likely to generate significant healthcare utilisation and spending. It is unknown if healthcare costs after SARS-CoV-2 infection differ from those after influenza infection.We used an all-payer administrative dataset comprised coding and billing data from...
The ability to recognize human emotions based on physiology and facial expressions opens up important research and application opportunities, mainly in healthcare and human-computer interaction. Continuous affect assessment can help patients suffering from affective disorders1and children with autism spectrum...
trials related to COVID-19. 实际上,我们预先训练了一个模型来预测差异 来自这种隐含证据的纠缠结果 并用有限的数据来微调模型 下游数据集。实验 基准测试证据集成数据集显示 所提出的模型的性能优于基础- 大利润,例如,10.7%的rel- 在宏观f1中比BioBERT的有效增益。更多的是 ...
The success of training computer-vision models heavily relies on the support of large-scale, real-world images with annotations. Yet such an annotation-ready dataset is difficult to curate in pathology due to the privacy protection and excessive annotati