Machine learning assisted radiomics in predicting postoperative occurrence of deep venous thrombosis in patients with gastric cancer by Yuan Zeng, Yuhao Chen, Dandan Zhu, Jun Xu, Xiangting Zhang, Huiya Ying, Xian Song, Ruoru Zhou, Yixiao Wang, Fujun Yu

“…Among these models, RF and NB demonstrated the highest predictive performance, achieving an AUC of 0.928, while SVM and XGBoost achieved a slightly lower AUC of 0.915 and 0.869, respectively. Conclusion ML algorithms based on imaging information may prove to be novel non-invasive models for predicting postoperative occurrence of DVT in GC patients.…”
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Dilemmas in diagnosing advanced HIV disease: a case report of repeatedly false negative rapid HIV tests in a patient with epidemic Kaposi sarcoma in Tanzania by Pendo M. Ibrahim, Summaiya Haddadi, Kija Luhuti, Zainab Illonga, Lorna Kasyanju, Zainab Mkinde, Ambele Mwandigha, Erick Magorosa, Beatrice Mushi, Advera Ngaiza, Elia Mmbaga, Agricola Joachim

“…This case report shows that the HIV testing algorithm using rapid tests alone may lead to the misdiagnosis of critical HIV cases. …”
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Clinical manifestations of syncope in children depending on the type of cardiovascular disease by N. A. Tonkikh, S. A. Parshin

“…This indicates insufficient awareness level of physicians about differential diagnostic algorithm of pathology which cause syncope in children. …”
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Investigation of treatment delay in a complex healthcare process using physician insurance claims data: an application to symptomatic carotid artery stenosis by Stephen Christopher van Gaal, Arshia Alimohammadi, Mohammad Ehsanul Karim, Wei Zhang, Jason Sutherland

“…However, these algorithms may generate incomprehensible flowcharts when applied to complex unstructured processes, which are common in healthcare. …”
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Terms of use of judicial acts for machine learning (analysis of some judicial decisions on the protection of property rights) by E. I. Alekseevskaya

“…The purpose of this article is to discover whether the current Russian judicial decisions may serve as input data for a machine learning algorithm in future. …”
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Proteomics mapping of cord blood identifies haptoglobin "switch-on" pattern as biomarker of early-onset neonatal sepsis in preterm newborns. by Catalin S Buhimschi, Vineet Bhandari, Antonette T Dulay, Unzila A Nayeri, Sonya S Abdel-Razeq, Christian M Pettker, Stephen Thung, Guomao Zhao, Yiping W Han, Matthew Bizzarro, Irina A Buhimschi

“…This was then subjected to 2(nd)-level validation against indicators of adverse short-term neonatal outcome. The optimal LCA algorithm combined Hp&HpRP switch pattern (most input), interleukin-6 and neonatal hematological indices yielding two non-overlapping newborn clusters with low (≤20%) versus high (≥70%) probability of IAI exposure. …”
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Aircraft hybrid-electric environment for analysis and design (AHEAD) applied on a fixed-wing drone by Manuel A. Rendón, Patrícia H. Hallak, Yipsy Roque Benito, Marcelo Assato, Camila de Oliveira Cunha, Daniel Miranda Esther, Rafael Grande Pancini Delmonte, Denys Pinto Gonçalves

“…The goal is to create a reliable analysis platform to establish the hybrid power-train characteristics that may optimally substitute the conventional propulsion system for any aircraft under analysis. …”
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Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers by Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu

“…Feature selection methods such as LASSO, SVM-RFE and random forest algorithm were applied to localize possible therapeutic target genes. …”
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Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study by Sun Q, Liu Z, Ding T, Shi C, Hou N, Sun C

“…Feature selection was performed using the Lasso algorithm and Pearson correlation coefficient, and a random forest regression model was constructed. …”
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Assessing the risk of pedestrian crossing behavior on suburban roads using structural equation model by Shahrbanoo Kavianpour, Farshidreza Haghighi, Abbas Sheykhfard, Subasish Das, Grigorios Fountas, Mohammad Mehdi Oshanreh

“…As a result of the presence of overpasses, drivers may think that there are no pedestrians in the surroundings, so they choose a speed based only on the prevailing traffic and road environment without accounting for potential interactions with pedestrians. …”
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Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy by Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw

“…However, Machine Learning (ML) models may improve these predictions by investigating intricate relationships between clinical variables and survival. …”
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Vowel classification with combining pitch detection and one‐dimensional convolutional neural network based classifier for gender identification by Chia‐Hung Lin, Hsiang‐Yueh Lai, Ping‐Tzan Huang, Pi‐Yun Chen, Chien‐Ming Li

“…Abstract Human speech signals may contain specific information regarding a speaker's characteristics, and these signals can be very useful in applications involving interactive voice response (IVR) and automatic speech recognition (ASR). …”
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Impact of extratropical cyclones on coastal circulation in a semi-enclosed bay within the Humboldt Current System by J. Contreras-Rojas, J. Contreras-Rojas, J. Contreras-Rojas, P. Mardones, M. Sobarzo, M. Sobarzo, M. Sobarzo, M. Sobarzo

“…Measurements were conducted from July to September 2016 and May to July 2018. Additionally, the main modes of subtidal current variability were compared with the local wind through coherence wavelets, revealing a direct influence of cyclones on the modulation of the gulf's currents. …”
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Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review by Shixiao Tan, Zhen Tang, Qiang He, Ying Li, Yuliang Cai, Jiawei Zhang, Di Fan, Zhenkai Guo

“…Seizures severely impact patients' quality of life and may lead to serious complications. As a primary diagnostic tool, electroencephalography (EEG) captures brain dynamics through non-stationary time series with measurable chaotic and fractal properties. …”
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Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects by Nandito Davy, Ammar El-Husseiny, Umair bin Waheed, Korhan Ayranci, Manzar Fawad, Mohamed Mahmoud, Nicholas B. Harris

“…This study examines the impact of incorporating these constraints on prediction accuracy using four manually fine-tuned ML algorithms: Random Forest (RF), Support Vector Regression (SVR), XGBoost (XGB), and Artificial Neural Network (ANN). …”
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Plasma cfDNA multi-omic biomarkers profiling for detection and stratification of gastric carcinoma by Shiyi Song, Xiuli Zhang, Pin Cui, Weihuang He, Jiyuan Zhou, Shubing Wang, Yong Xiong, Shu Xu, Xiaohui Lin, Guozeng Huang, Xiaohua Tan, Qinglong Xu, Yongling Liu, Qingqun Li, Kehua Yuan, Mingji Feng, Hanming Lai, Hui Yang, Shaorong Zhang

“…Therefore, these cfDNA multi-omic biomarkers may serve as means to detect GC accurately, affordably and timely.…”
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Two-stage DRG grouping of cerebral infarction based on comorbidity and complications classification by Siyu Zeng, Lele Li, Lele Li, Jialing Li, Xiaozhou He

“…These findings suggest that this adaptive method may be a scalable strategy for resource-limited regions undergoing healthcare system reforms.…”
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IgG4-related focal retroperitoneal fibrosis in ureter suggestive of colon cancer recurrence and resected laparoscopically: a case report by Tomoyuki Ueki, Toru Miyake, Mitsuhiro Narita, Masatsugu Kojima, Sachiko Kaida, Hiroya Iida, Tomoharu Shimizu, Masaji Tani

“…Moreover, laparoscopic surgery may be useful for making the diagnosis in difficult-to-biopsy cases.…”
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NTCP polymorphisms were associated with fibrosis development in patients with chronic HBV infection by Zhenzhen Su, Bei Cai, Xiaojuan Wu, Lixin Li, Bin Wei, Liye Meng, Lu Wang, Lanlan Wang

“…Therefore, integrating sodium taurocholate cotransporting polypeptide polymorphisms to a risk stratification algorithm may help clinicians manage the chronic HBV infection patients better. …”
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Construction of a diagnostic model utilizing m7G regulatory factors for the characterization of diabetic nephropathy and the immune microenvironment by Jingying Zhong, Pengli Xu, Xuanyi Li, Meng Wang, Xuejun Chen, Huiyu Liang, Zedong Chen, Jing Yuan, Ya Xiao

“…The m7G-related genes METTL1, CYFIP2, EIF3D, and NUDT4 may serve as potential diagnostic biomarkers for DN, providing new insights into its molecular mechanisms and immune landscape.…”
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