Clinical predictive model for the 1-year remission probability of IgA vasculitis nephritis

He, Manrong; Li, Chao; Kang, Yingxi; Zuo, Yongdi; Duo, Lijin; Tang, Wanxin

doi:10.1016/j.intimp.2021.108341

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…The results of the present study indicated that the nomogram may be a better choice than ultrasonography alone or FNA invasive examination. In addition, DCA and CIC curves are often used to evaluate the clinical value of various models [35,36], showing the clinical reliability of the nomogram, and compared with the clinical model and Rad-score, the nomogram has a greater improvement. The cutoff value corresponding to the maximum Youden value can also help in clinical evaluation.…”

Section: Discussionmentioning

confidence: 99%

Ultrasound Radiomics Nomogram to Diagnose Sub-Centimeter Thyroid Nodules Based on ACR TI-RADS

Zhang

et al. 2022

Cancers

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The aim of the present study was to develop a radiomics nomogram to assess whether thyroid nodules (TNs) < 1 cm are benign or malignant. From March 2021 to March 2022, 156 patients were admitted to the Affiliated Hospital of Nantong University, and from September 2017 to March 2022, 116 patients were retrospectively collected from the Jiangsu Provincial Hospital of Integrated Traditional Chinese and Western Medicine. These patients were divided into a training group and an external test group. A radiomics nomogram was established using multivariate logistics regression analysis using the radiomics score and clinical data, including the ultrasound feature scoring terms from the thyroid imaging reporting and data system (TI-RADS). The radiomics nomogram incorporated the correlated predictors, and compared with the clinical model (training set AUC: 0.795; test set AUC: 0.783) and radiomics model (training set AUC: 0.774; test set AUC: 0.740), had better discrimination performance and correction effects in both the training set (AUC: 0.866) and the test set (AUC: 0.866). Both the decision curve analysis and clinical impact curve showed that the nomogram had a high clinical application value. The nomogram constructed based on TI-RADS and radiomics features had good results in predicting and distinguishing benign and malignant TNs < 1 cm.

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Section: Discussionmentioning

confidence: 99%

Ultrasound Radiomics Nomogram to Diagnose Sub-Centimeter Thyroid Nodules Based on ACR TI-RADS

Zhang

et al. 2022

Cancers

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“…In fact, social network not only refers to the scope of sociology but also includes various information networks, technology networks, and bio-information networks. [11][12][13][14] Of course, the most common social networks in daily life are social networks. For most online social networks, they often have thousands and tens of thousands of nodes, and the relationships between nodes are complex and may change in real time.…”

Section: Introductionmentioning

confidence: 99%

A Method to Study Group Relationship of College Students Based on Predictive Social Network

Zhang

Shi

2022

Scientific Programming

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With the rise of social network platforms such as WeChat, Weibo, and TikTok, social networks have developed from simple social networks to complex social networks. Researchers have gradually found that the traditional data sampling methods can no longer meet the development needs of the complex social network structure. In order to save network resources, various methods of social relationship prediction have been proposed. In this paper, we propose a BTCS algorithm based on low sampling rate under cognitive model and conduct several sets of comparison experiments under different networks and different sampling rates, and the results show that the BTCS algorithm improves the prediction accuracy and reduces the prediction time under low sampling rate. To address the problems of poor stability and slow prediction speed of random sampling prediction methods, this paper proposes a CCS algorithm in colleges and universities using the characteristics of high awareness among nodes within the same college. It can effectively combine the cognitive characteristics of the nodes with the college attributes and apply them to the relationship prediction to realize the college-oriented relationship prediction. The simulation results show that the CCS algorithm is more stable than other random sampling prediction methods. The results make full use of the cognitive characteristics and college attributes of nodes in social networks; reduce the influence of multiple factors such as response time, data packet loss, and individual behavior on relationship prediction; and improve the efficiency of college student group relationship prediction, which has certain theoretical significance and application prospects.

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Semiquantitative classification (SQC) and Oxford classifications predict poor renal outcome better than The International Study of Kidney Disease in Children (ISKDC) and Haas in patients with IgAV nephritis: a multicenter study

et al. 2022

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Clinical predictive model for the 1-year remission probability of IgA vasculitis nephritis

Cited by 5 publications

References 33 publications

Ultrasound Radiomics Nomogram to Diagnose Sub-Centimeter Thyroid Nodules Based on ACR TI-RADS

Ultrasound Radiomics Nomogram to Diagnose Sub-Centimeter Thyroid Nodules Based on ACR TI-RADS

A Method to Study Group Relationship of College Students Based on Predictive Social Network

Semiquantitative classification (SQC) and Oxford classifications predict poor renal outcome better than The International Study of Kidney Disease in Children (ISKDC) and Haas in patients with IgAV nephritis: a multicenter study

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