Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

“…The clinical feature prediction model using the GBM algorithm had an AUC of 0.819 and an accuracy of 0.739. …”
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Donor-Specific Anti-Human Leukocyte Antigen Antibodies Predict Prolonged Isolated Thrombocytopenia and Inferior Outcomes of Haploidentical Hematopoietic Stem Cell Transplantation by Xiaosu Zhao, Xiangyu Zhao, Mingrui Huo, Qiaozhen Fan, Xuying Pei, Yu Wang, Xiaohui Zhang, Lanping Xu, Xiaojun Huang, Kaiyan Liu, Yingjun Chang

“…This indicated that DSAs should be incorporated in the algorithm for unmanipulated HBMT.…”
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Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and me... by Maciej Banach, Martyna Fronczek, Tadeusz Osadnik, Agnieszka Gach, Dominik Strapagiel, Marcin Słomka, Mateusz Lejawa, Anna Goc, Ewa Boniewska-Bernacka, Anna Pańczyszyn, Gregory Y.H. Lip, Dimitri P. Mikhailidis, Peter P. Toth, Peter E. Penson, Jacek Jóźwiak

“…Conclusions The developed PRS scale, combined with clinical covariates, will facilitate the creation of an algorithm to predict long-term mortality. This will enable us to stratify CVD risk more precisely, which may result in earlier implementation of lifestyle changes and dietary adjustments and potentially initiate earlier pharmacotherapy for at-risk individuals.…”
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Sistem Kontrol Swarm untuk Flocking Wahana NR-Awak Quadrotor dengan Optimasi Algoritma Genetik by Endra Joelianto, Winarendra Satya Rajasa, Agus Samsi

“…The search for optimal parameters in the swarm model controller requires optimization techniques such as the genetic algorithm (GA) to direct the search for solutions that produce the best performance. …”
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Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

“…This study aims to make sentence corpus containing SARA elements obtained from twitter, then label sentences with labels containing elements of SARA and not, and conduct group sentiments. The algorithm used for the labeling process is k-means, while Support Vector Machine (SVM) is used for the classification process. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…We hypothesize that this better conspicuity leads to high-quality annotation (HAQ), enhancing deep learning (DL) algorithm detection of BMs on MPRAGE images. Methods Retrospective contrast-enhanced (gadobutrol 0.1 mmol/kg) SPACE and MPRAGE data of 157 patients with BM were used, either annotated on MPRAGE resulting in normal annotation quality (NAQ) or on coregistered SPACE resulting in HAQ. …”
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Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry by Yiwei Chen, Yiwei Chen, Jiali Lin, Detong Shi, Yu Miao, Yu Miao, Feng Xue, Feng Xue, Kexin Liu, Kexin Liu, Xiaotao Wang, Changqing Zhang, Changqing Zhang

“…We employed XGBoost, a gradient-boosting ML algorithm, to identify core URGs and construct a diagnostic model. …”
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Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA by Rahmat - Budiarto, Yanif Dwi Kuntjoro

“…To accelerate the detection process, the PCA algorithm is deployed to reduce the number of significant features of the traffic. …”
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The state of the science of interprofessional collaborative practice: A scoping review of the patient health-related outcomes based literature published between 2010 and 2018. by May Nawal Lutfiyya, Linda Feng Chang, Cynthia McGrath, Clark Dana, Martin S Lipsky

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Quality identification of Amomi fructus using E-nose, HS-GC-IMS, and intelligent data fusion methods by Pan-Pan Zhang, Xin-Jing Gui, Xin-Jing Gui, Xin-Jing Gui, Xue-Hua Fan, Han-Li, Hai-Yang Li, Xiao-Peng Li, Feng-Yu Dong, Yan-Li Wang, Jing-Yao, Jing-Yao, Jun-Han Shi, Jun-Han Shi, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu

“…In conclusion, the intelligent data fusion algorithm based on E-nose and HS-GC-IMS data effectively identifies the authenticity, origin, and provenance of AF, providing a rapid and accurate method for quality evaluation.…”
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Optimising Xpert-Ultra and culture testing to reliably measure tuberculosis prevalence in the community: findings from surveys in Zambia and South Africa by Richard Hayes, Sarah Fidler, Sian Floyd, María Rupérez, Helen Ayles, Redwaan Vermaak, Kwame Shanaube, Albertus Schaap, Eveline Klinkenberg, Petra de Haas, Barry Kosloff, Thomas Gachie, Pete J Dodd, Chali Wapamesa, Michael J Burnett, Nico Kalisvaart, Tila Mainga, Linda Mureithi

“…We aimed to design an accurate diagnostic algorithm for TB prevalence surveys (TBPS) that limits the use of culture.Design TBPS in four communities, conducted during 2019.Setting Three Zambian communities and one South-African community included in the TBPS of the Tuberculosis Reduction through Expanded Anti-retroviral Treatment and Screening study.Participants Randomly sampled individuals aged ≥15 years. …”
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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

“…Individuals from the four regions could be distinguished and predicted based on a model constructed using the random forest algorithm, with the predictive effect of palmar microbiota being better than that of oral and nasal cavities. …”
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Tackling antimicrobial resistance in Bangladesh: A scoping review of policy and practice in human, animal and environment sectors. by Roksana Hoque, Syed Masud Ahmed, Nahitun Naher, Mohammad Aminul Islam, Emily K Rousham, Bushra Zarin Islam, Shaikh Hassan

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Pemodelan Kausal Faktor-Faktor Beban Keluarga dalam Merawat Pasien Kanker Menggunakan Algoritma S3C-Latent by Rizki Surtiyan Surya, Christantie Effendy, Ridho Rahmadi

“…This study uses a causal modeling algorithm called Stable Specification Search for Cross-sectional Data with Latent Variable (S3C-Latent) to obtain a causal model between the relevant caregiver family load factors. …”
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A Phenologically Simplified Two-Stage Clumping Index Product Derived from the 8-Day Global MODIS-CI Product Suite by Ge Gao, Ziti Jiao, Zhilong Li, Chenxia Wang, Jing Guo, Xiaoning Zhang, Anxin Ding, Zheyou Tan, Sizhe Chen, Fangwen Yang, Xin Dong

“…., the typical feature of the bidirectional reflectance distribution function (BRDF) shape in the current CI algorithm framework. Therefore, deriving a phenologically simplified stable CI product from a high-frequency CI product (e.g., 8 days) to reduce the uncertainty of CI seasonality and simplify CI applications remains important. …”
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Sources of right to freedom of peaceful assembly by М. А. Sambor

“…In order to understand and form the legal basis and mechanism (algorithm) for exercising the right to freedom of peaceful assembly, it is important to understand the origins of this right and to substantially fill the right to freedom of peaceful assembly. …”
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Transcriptome analysis of early pregnancy vitamin D status and spontaneous preterm birth. by Aishwarya P Yadama, Hooman Mirzakhani, Thomas F McElrath, Augusto A Litonjua, Scott T Weiss

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Recording dan Pencarian Silsilah Kambing Perah Menggunakan Algoritme Depth First Search by Rizki Wahyudi, Muhammad Iqbal, Lussy Dwi Oktaviana

“…To solve the problem, a Recording system is built for website-based livestock data logging and for genealogical search will use the Depth first search algorithm. In order for the research to be directed, this research uses waterfall method with stage requirement analysis, design, implementation, testing, and maintenance. …”
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The microenvironment cell index is a novel indicator for the prognosis and therapeutic regimen selection of cancers by Xian-Yan Yang, Nian Chen, Qian Wen, Yu Zhou, Tao Zhang, Ji Zhou, Cheng-Hui Liang, Li-Ping Han, Xiao-Ya Wang, Qing-Mei Kang, Xiao-Xia Zheng, Xue-Jia Zhai, Hong-Ying Jiang, Tian-Hua Shen, Jin-Wei Xiao, Yu-Xin Zou, Yun Deng, Shuang Lin, Jiang-Jie Duan, Jun Wang, Shi-Cang Yu

“…Abstract Background It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC). Methods The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. …”
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Prediction of viscosity of blast furnace slag based on NRBO-DNN model by Zhe Li, Meng Wang, Rui Xu, Juanjuan Jiang, Jie Li, Zunqian Zhang, Aimin Yang

“…Optimizing the DNN with an intelligent swarm algorithm resulted in the NRBO-DNN model, which achieved MAE, MSE, RMSE, and R² values of 0.04050, 0.00305, 0.05527, and 0.97599, respectively. …”
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