A machine learning model revealed that exosome small RNAs may participate in the development of breast cancer through the chemokine signaling pathway by Jun-luan Mo, Xi Li, Lin Lei, Ji Peng, Xiong-shun Liang, Hong-hao Zhou, Zhao-qian Liu, Wen-xu Hong, Ji-ye Yin

“…We used machine learning algorithms to analyze small RNAs with significant differences between the two groups, fit the model through training sets, and optimize the model through testing sets. …”
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The Media Spatial Diffusion Effect and Distribution Characteristics of AI in Education: An Empirical Analysis of Public Sentiments Across Provincial Regions in China by Bowen Chen, Jinqiao Zhou, Hongfeng Zhang

“…Python was used to scrape relevant online comments from various provinces in China. Using the SnowNLP algorithm, sentiments were classified into three categories: positive, neutral, and negative. …”
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Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids by Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang

“…This study aims to develop a novel method for BV detection by integrating surface-enhanced Raman scattering (SERS) with machine learning (ML) algorithms. …”
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Modeling Estuarine Algal Bloom Dynamics with Satellite Data and Spectral Index-Based Classification by Mayya Podsosonnaya, Maria J. Schreider, Sergei Schreider

“…The logistic regression model was trained for each pixel; then the optimal parameters for its coefficients and the optimal classification threshold were obtained by cross-validation based on bootstrapping. …”
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Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma by Shiyan Song, Wenfei Ge, Xiaochen Qi, Xiangyu Che, Qifei Wang, Guangzhen Wu

“…Multifactor Cox regression analysis was used to calculate the immunotherapy response of subgroups according to Tumor Immune Dysfunction and Exclusion (TIDE) algorithm and subgraph algorithm to detect the difference in survival time and immunotherapy response of ccRCC patients with immune infiltration. …”
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Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis by Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

“…Future research should standardize model development, optimize model performance, and explore how to better integrate predictive models into clinical practice to improve ARDS diagnosis and risk stratification. …”
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The Necessity of CT Hip Scans in the Investigation of Occult Hip Fractures and Their Effect on Patient Management by Thomas Gatt, Daniel Cutajar, Lara Borg, Ryan Giordmaina

“…The focus of further research should be towards the development of investigation algorithms which decrease the reliance on CT and defining the optimal surgical criteria for occult hip fractures.…”
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Identifying opioid agonist treatment prescriber networks from health administrative data: A validation study. by Megan Kurz, Mark Tatangelo, Kristen A Morin, Michelle Zanette, Emanuel Krebs, David C Marsh, Bohdan Nosyk

“…The three different detection algorithms had wide variation in concordance, with ranges on sensitivity from 0.02 to 0.88 and PPV from 0.06 to 0.97. …”
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A mobile app to improve adherence to colorectal cancer screening and post polypectomy surveillance guidelines by María A. Casas, Francisco Schlottmann, Leandro Steinberg, Xavier Bessa, Anna Serradesanferm, Angels Pozo, Sonia Torres, Antoni Castells, Francesc Balaguer, Jaume Grau, Lisandro Pereyra, María Pellisé

“…Objective Evaluate the implementation and real-world impact of a mobile app designed to optimize CRC screening and surveillance in accordance to recently updated guidelines. …”
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Explainable Machine Learning Models for Colorectal Cancer Prediction Using Clinical Laboratory Data by Rui Li MS, Xiaoyan Hao MS, Yanjun Diao MD, Liu Yang MS, Jiayun Liu MD

“…This model could also identify CEA-negative or FOBT-negative CRC patients. Incorporating stool miR-92a detection into the model further improved diagnostic performance. …”
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Sentinel lymph node biopsy guided by indocyanine green dye in endometrial cancer patients: literature review and clinical experience by A. V. Kochatkov, N. S. Kharlov

“…Lymph node involvement is an important prognostic factor in deciding whether neoadjuvant chemotherapy is necessary for endometrial cancer patients. the technique of slN detection using indocyanine green dye appears promising in ensuring adequate intraoperative staging and optimization of the extent and duration of surgery. the use of this algorithm for the treatment of endometrial cancer will significantly reduce the risk of perioperative complications associated with lymphadenectomy, not negatively influencing the disease outcome.…”
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Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies by Adaiton Oliveira-Filho, Monelle Comeau, James Cave, Charbel Nasr, Pavel Côté, Antoine Tahan

“…Although this imbalance can negatively impact analyses such as detection, Condition Monitoring (CM), diagnosis, and prognosis, it is often overlooked in the literature. …”
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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

“…Analyze the importance of features in the optimal model. The Louvain community detection algorithm and structural equation modeling were used to investigate community relationships and potential causal effects. …”
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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

“…Image analysis parameters were optimized to minimize false negatives and false positives. …”
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Evaluating the Pattern of Forest Cover Changes Using Fuzzy Object-Oriented Techniques (Case Study: Kaleybar County) by Majid Pishnamaz Ahmadi, keyvan Mohammadzadeh, seyed Asadolah Hejazi

“…For this purpose, the TM Landsat 5 (1990), the ETM + Landsat 7 (2000 and 2010) and the OLI Landsat 8 image for 2017 were used. In this study, ESP algorithm was used to optimize the scale in order to improve the image segmentation results and subsequently increase the accuracy of classification results. …”
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Identification and validation of diagnostic biomarkers and immune cell abundance characteristics in Staphylococcus aureus bloodstream infection by integrative bioinformatics analys... by Junhong Shi, Li Shen, Yanghua Xiao, Cailing Wan, Bingjie Wang, Peiyao Zhou, Jiao Zhang, Weihua Han, Rongrong Hu, Fangyou Yu, Hongxiu Wang

“…First, after overlapping the differentially expressed genes (DEGs) in S. aureus infection samples from GSE33341-human and GSE33341-mice samples, we detected 63 overlapping genes. Subsequently, the hub genes including DRAM1, PSTPIP2, and UPP1 were identified via three machine-learning algorithms: random forest, support vector machine-recursive feature elimination, and least absolute shrinkage and selection operator. …”
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Prediction of Therapeutic Response and Prognosis in Ovarian Cancer Patients With Plasma Circulating Biomarkers by Haixia Cheng, Guangwen Yuan, Leilei Liang, Tiantian Wang, Jiarun Zhu, Hongying Yang, Zhendiao Zhou, Pei Wang, Qianqian Song, Yuchen Jiao, Mei Liu, Lingying Wu

“…Forty‐three patients with matched tumor and plasma samples were analyzed via both a tumor‐informed ctDNA assay (TICA) and a tumor‐uninformed ctDNA assay (TUCA) profiling TP53 mutations and CNA. The TUCA algorithm was optimized based on TICA results. Fourteen patients without matched tumor tissues were used just for TUCA analysis. …”
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STUDY OF PREDICTION AND CLASSIFICATION MODELS IN THE PROBLEMS OF DIABETES AMONG PATIENTS WITH A STROKE IN DIFFERENT LIVING CONDITIONS by Nural Huliiev, Maksym Peretiaha, Artem Khovrat, Denys Teslenko, Alexei Nazarov

“…Conclusions: as a result of the study, the optimal model for predicting the development of the disease was selected. …”
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Correlating gene expression levels with transcription factor binding sites facilitates identification of key transcription factors from transcriptome data by Tinghua Huang, Siqi Niu, Fanghong Zhang, Binyu Wang, Jianwu Wang, Guoping Liu, Min Yao

“…ED was identified as the optimal method for creating a ranked gene list from filtered expression data, which can address the “unable to detect negative correlation” fallacy presented by other methods. …”
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Resveratrol contributes to NK cell-mediated breast cancer cytotoxicity by upregulating ULBP2 through miR-17-5p downmodulation and activation of MINK1/JNK/c-Jun signaling by Bisha Ding, Jie Li, Jia-Lin Yan, Chun-Yan Jiang, Ling-Bo Qian, Jie Pan

“…This finding identifies RES as a potentially effective therapeutic agent for inhibiting BC progression and optimizing NK cell-based cancer immunotherapy.…”
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