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» Authors » Yasen Yimit

Yasen Yimit

Explore the profile of Yasen Yimit including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 6
Citations 6
Followers 0
Related Specialties
General Medicine
Radiology
Infectious Diseases
Top 10 Co-Authors
Mayidili Nijiati
Parhat Yasin
Xiaoguang Zou
Yunling Wang
Abudoukeyoumujiang Abulizi
Weibin Sheng
Mardan Mamat
Xiaoyu Cai
Chencui Huang
Jing Yang
Published In
Eur J Med Res
Front Physiol
Heliyon
BMC Infect Dis
Acad Radiol
Affiliations
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Recent Articles
1.
Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning
Fan S, Abulizi A, You Y, Huang C, Yimit Y, Li Q, et al.
BMC Infect Dis . 2024 Aug; 24(1):875. PMID: 39198742
Background: Pulmonary tuberculosis (PTB) is a prevalent chronic disease associated with a significant economic burden on patients. Using machine learning to predict hospitalization costs can allocate medical resources effectively and...
2.
A deep learning radiomics model based on CT images for predicting the biological activity of hepatic cystic echinococcosis
Nijiati M, Tuerdi M, Damola M, Yimit Y, Yang J, Abulaiti A, et al.
Front Physiol . 2024 Aug; 15:1426468. PMID: 39175611
Hepatic cystic echinococcosis (HCE) is a widely seen parasitic infection. Biological activity is crucial for treatment planning. This work aims to explore the potential applications of a deep learning radiomics...
3.
Machine learning-enabled prediction of prolonged length of stay in hospital after surgery for tuberculosis spondylitis patients with unbalanced data: a novel approach using explainable artificial intelligence (XAI)
Yasin P, Yimit Y, Cai X, Aimaiti A, Sheng W, Mamat M, et al.
Eur J Med Res . 2024 Jul; 29(1):383. PMID: 39054495
Background: Tuberculosis spondylitis (TS), commonly known as Pott's disease, is a severe type of skeletal tuberculosis that typically requires surgical treatment. However, this treatment option has led to an increase...
4.
Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study
Yimit Y, Yasin P, Tuersun A, Wang J, Wang X, Huang C, et al.
Acad Radiol . 2024 Mar; 31(8):3384-3396. PMID: 38508934
Rationale And Objectives: Medulloblastoma (MB) and Ependymoma (EM) in children, share similarities in age group, tumor location, and clinical presentation. Distinguishing between them through clinical diagnosis is challenging. This study...
5.
MRI-based interpretable radiomics nomogram for discrimination between Brucella spondylitis and Pyogenic spondylitis
Yasin P, Yimit Y, Abliz D, Mardan M, Xu T, Yusufu A, et al.
Heliyon . 2024 Jan; 10(1):e23584. PMID: 38173524
Background: Pyogenic spondylitis (PS) and Brucella spondylitis (BS) are commonly seen spinal infectious diseases. Both types can lead to vertebral destruction, kyphosis, and long-term neurological deficits if not promptly diagnosed...
6.
Differentiation between cerebral alveolar echinococcosis and brain metastases with radiomics combined machine learning approach
Yimit Y, Yasin P, Tuersun A, Abulizi A, Jia W, Wang Y, et al.
Eur J Med Res . 2023 Dec; 28(1):577. PMID: 38071384
Background: Cerebral alveolar echinococcosis (CAE) and brain metastases (BM) share similar in locations and imaging appearance. However, they require distinct treatment approaches, with CAE typically treated with chemotherapy and surgery,...