We explored whether disease severity of Friedreich ataxia can be predicted using data from clinical examinations. From the database of the European Friedreich Ataxia Consortium for Translational Studies (EFACTS) data from up to five examinations of 602 patients with genetically confirmed FRDA was ...
The use of medical big data can ___ the accuracy of disease prediction. A. increase B. reduce C. keep D. stay 相关知识点: 试题来源: 解析 A。“increase”表示“增加”;“reduce”表示“减少”;“keep”和“stay”表示“保持”,这里说的是提高疾病预测的准确性。反馈...
This study aimed to build and validate a radiomics-integrated model with whole-brain magnetic resonance imaging (MRI) to predict the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD).#357 patients with MCI were selected from the ADNI database, which is an open-source...
Predicting the effects of coding variants is a major challenge. While recent deep-learning models have improved variant effect prediction accuracy, they cannot analyze all coding variants due to dependency on close homologs or software limitations. Here
Both in-hospital cardiac arrest (IHCA) and out-of-hospital cardiac arrest (OHCA) have higher incidence and lower survival rates. Predictors of in-hospital mortality for intensive care unit (ICU) admitted cardiac arrest (CA) patients remain unclear. The M
OBJECTIVE: To summarize reported evidence on the performance and clinical usefulness of prediction tests for recurrent hypertensive disease in pregnancy. METHODS: A literature search was conducted in MEDLINE/PubMed and EMBASE. Test characteristics were extracted for relevant reports. RESULTS: Thirty-three...
The paper investigates the powerful of hybridizing two computational intelligence methods viz., Gray Wolf Optimization (GWO) and Artificial Neural Networks (ANN) for prediction of heart disease. Gray wolf optimization is a global search method while gradient-based back propagation method is a local se...
Hughes K, Bellis MA, Hardcastle KA, et al. The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis. Lancet Public Health. 2017;2(8):e356-e366. doi:10.1016/S2468-2667(17)30118-4PubMedGoogle ScholarCrossref ...
Parkinson's disease (PD) is the second most common neurodegenerative disease in the world. Identification of PD biomarkers is crucial for early diagnosis and to develop target-based therapeutic agents. Integrative analysis of genome-scale metabolic model
1. Now that a vaccine has been developed, there are still many problems with the spread of vaccination3, we still need to minimize the spread of the disease through making policies, such as isolation, keeping a social distance and wearing a mask4. Therefore, predicting the future trend of ...