Identification of depressive symptoms in adolescents using machine learning combining childhood and adolescence features by Xinzhu Liu, Rui Cang, Zihe Zhang, Ping Li, Hui Wu, Wei Liu, Shu Li

“…Using the maximum relevance-minimum redundancy method and four ML algorithms, we determined the optimal feature subset for identifying depressive symptoms and constructed child-adolescent models. …”
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Prediction models used in the progression of chronic kidney disease: A scoping review. by David K E Lim, James H Boyd, Elizabeth Thomas, Aron Chakera, Sawitchaya Tippaya, Ashley Irish, Justin Manuel, Kim Betts, Suzanne Robinson

“…This made it difficult to perform a comparison between ML algorithms, more so when different validation methods were used in different cohort types. …”
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How do electronic risk assessment tools affect the communication and understanding of diagnostic uncertainty in the primary care consultation? A systematic review and thematic synt... by Sarah Gerard Dean, Joshua Feyi-Waboso, Mark Tarrant, Raff Calitri, Elizabeth Shephard, Alex Burns, Brian Donnelly

“…Objectives To conduct a systematic review and synthesise qualitative research of electronic risk assessment tools (eRATs) in primary care, examining how they affect the communication and understanding of diagnostic risk and uncertainty. eRATs are computer-based algorithms designed to help clinicians avoid missing important diagnoses, pick up possible symptoms early and facilitate shared decision-making.Design Systematic search, using predefined criteria of the published literature and synthesis of the qualitative data, using Thematic Synthesis. …”
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A Reproducible Method for Donor Site Computed Tomography Measurements in Abdominally Based Autologous Breast Reconstruction by Damini Tandon, MD, Arthur Sletten, MD, PhD, Austin Ha, MD, Gary B. Skolnick, BA, MBA, Paul Commean, BEE, Terence Myckatyn, MD

“…Larger patient cohorts must be leveraged to determine correlations between abdominal CT scan findings and donor site outcomes using machine learning algorithms that generate models for predicting abdominal donor site complications.…”
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Hybrid Modeling of an Induction Machine to Support Bearing Diagnostics by Praneet Amitabh, Dimitar Bozalakov, Frederik De Belie

“…The ultimate goal of this methodology is to generate extensive datasets encompassing diverse operating conditions that can be used further to estimate the health of the bearing and possibly be used for training predictive algorithms to estimate bearing RUL in motors. The proposed methodology is developed for the machine operating at 1000 and 1500 RPM and is validated for three different operating speeds.…”
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SpikeDroidDB: AN INFORMATION SYSTEM FOR ANNOTATION OF MORPHOMETRIC CHARACTERISTICS OF WHEAT SPIKE by M. A. Genaev, E. G. Komyshev, Fu Hao, V. S. Koval, N. P. Goncharov, D. A. Afonnikov

“…The effectiveness of ears’ phenotyping can be improved by the introduction of an automated image processing technology, storage of information in databases, use of machine learning algorithms to analyze this information. This paper presents a new approach for collecting, storing and analyzing of information about morphometric characteristics of ears of wheat. …”
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RELOCATION OF COMPANIES (ENTERPRISES): SOCIO-ECONOMIC AND LEGAL MECHANISMS by Olha Rozghon, Alla Zelisko, Viktoriia Piddubna

“…The purpose of this article is to analyze issues related to possible algorithms for a company’s response to changes in the level of threats and critical risks to its functioning, as well as the socio- economic and legal aspects of relocation implementation. …”
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Statistical Characteristics of Nighttime Medium‐Scale Traveling Ionospheric Disturbances From 10‐Years of Airglow Observation by the Machine Learning Method by Chang Lai, Jiyao Xu, Zhishuang Lin, Kun Wu, Donghe Zhang, Qinzeng Li, Longchang Sun, Wei Yuan, Yajun Zhu

“…We developed a program code using the algorithms to identify and extract the propagation and morphological features of MSTIDs in 630 nm airglow images automatically. …”
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State Estimation in Power Systems Under Random Data Attack Using Correlation Matching, Semidefinite Relaxation, and Truncated Eigenvalue Decomposition by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

“…Numerical simulation is conducted to demonstrate the usability of the proposed algorithms and to illustrate their performance. Signal-plus-attack-to-noise ratio (SANR) and phase-to-attack ratio are examples of the situational quality that can exist in the power transmission systems. …”
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Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis by Clara K Chow, Aravinda Thiagalingam, Rohan Jayasinghe, Sarah Zaman, Stephen Bacchi, Justin Chan, Aashray Gupta, Shaun Evans, Pramesh Kovoor, Brandon Stretton, Jayme Bennetts, Ammar Zaka, Naim Mridha, Joshua Kovoor, Gopal Sivagangabalan, Cecil Mustafiz, Daud Mutahar, Shreyans Sinhal, James Gorcilov, Benjamin Muston, Fabio Ramponi, Dale J Murdoch

“…While integration of ML algorithms into electronic healthcare systems may improve periprocedural risk stratification, immediate implementation in the clinical setting remains uncertain. …”
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An Integrated Time-Series Relative Soil Moisture Monitoring Method Based on a SAR Backscattering Model by Xin Bao, Rui Zhang, Xu He, Age Shama, Gaofei Yin, Jie Chen, Hongsheng Zhang, Guoxiang Liu

“…However, the existing synthetic aperture radar (SAR) soil moisture retrieval algorithms suffer from insufficient decoupling of surface scattering characteristics and poor RSSM time-series monitoring capabilities. …”
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Detection of I491F and V170F rpoB mutations associated with misdiagnosis of rifampicin resistance among patients with drug-susceptible tuberculosis treatment failure, Myanmar, 2022 by Phyu Win Ei, Mi Mi Htwe, Myat Htut Nyunt, Aye Su Mon, Zaw Myint, Wint Wint Nyunt, Su Mon Win, Sandar Aung, Wai Myat Thwe, Wah Wah Aung

“…This demonstrates a gap in current World Health Organization-endorsed algorithms for capturing all multidrug-resistant-TB strains.…”
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A self-configuration framework for balancing services in the fog of things by Edson Mota, Jurandir Barbosa, Gustavo B. Figueiredo, Maycon Peixoto, Cássio Prazeres

“…This service utilizes advanced load-balancing algorithms to ensure the workload is evenly distributed among the available gateways, preventing any single node from becoming a bottleneck for the service distributions. …”
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Nurse management of minor problems in primary care emergencies: a non-randomized controlled trial by Jordi Estarlich-Corominas, Neus Soler-Abril, Anna Casanellas-Chuecos, Sara Becerra-Corzo, Andrea Sofia Bianco, Pere Torán-Monserrat, Rosa García-Sierra

“…Nurse resolution capacity, after applying algorithms, offered quality care, with fewer prescriptions and good patient satisfaction without increasing the total number of consultations due to the same problem. …”
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Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry by Ahmed Sewify, Ahmed Sewify, Maxence Lavaill, Maxence Lavaill, Dermot O’Rourke, Dermot O’Rourke, Maria Antico, Maria Antico, Peter Pivonka, Peter Pivonka, Davide Fontanarosa, Davide Fontanarosa, Saulo Martelli, Saulo Martelli

“…The bone registration approach used was based on in silico analyses that investigated the effects of different — 1) registration algorithms (Iterative-Closest-Point–ICP, and Coherent Point Drift–CPD) and 2) initial estimate levels of the bone model pose relative to the targeted final bone pose—on the overall registration efficiency and accuracy in a controlled environment.ResultsCPD provided the highest accuracy in the simulation at the cost of 8x longer computation compared to ICP. …”
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Radiomic prediction for durable response to high‐dose methotrexate‐based chemotherapy in primary central nervous system lymphoma by Haoyi Li, Mingming Xiong, Ming Li, Caixia Sun, Dao Zheng, Leilei Yuan, Qian Chen, Song Lin, Zhenyu Liu, Xiaohui Ren

“…Multiple machine‐learning algorithms were utilized for feature selection and classification to build a radiomic signature. …”
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Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI by Fei Peng, Jiaxiang Xia, Fandong Zhang, Shiyu Lu, Hao Wang, Jiashu Li, Xinmin Liu, Yao Zhong, Jiahuan Guo, Yonghong Duan, Binbin Sui, Chuyang Ye, Yi Ju, Shuai Kang, Yizhou Yu, Xin Feng, Xingquan Zhao, Rui Li, Aihua Liu

“…We introduce a specialized ensemble learning framework, termed the Hybrid Model, which synergistically combines two heterogeneous base learning algorithms: 4D-Flow logistic regression (4D-Flow-LR) and Multi-crop Attention Branch Network (MicroAB-Net). …”
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Digital Twin-Empowered Green Mobility Management in Next-Gen Transportation Networks by Kubra Duran, Lal Verda Cakir, Achille Fonzone, Trung Q. Duong, Berk Canberk

“…Moreover, our hybrid implementation of intelligent algorithms for emission prediction resulted in higher accuracy when compared to baselines. …”
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Mitochondrial dysfunction-driven AMPK-p53 axis activation underpins the anti-hepatocellular carcinoma effects of sulfane sulfur by Xue Zheng, Yuhua Luo, Rui Huo, Yiwen Wang, Youbang Chen, Mianrong Chen, Qi Zhao, Kexin Li, Hanyi Zhang, Xiaotong Li, Xiang Li, Hui Zhang, Zaopeng He, Li Huang, Chun-tao Yang

“…We utilized bioinformatics algorithms for clustering, function enrichment, feature screening and survival analysis on proteomic data from the Cancer Proteome Atlas (CPTAC) and transcriptomic data from the Cancer Genome Atlas (TCGA). …”
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External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis by Patrick Rockenschaub, Ela Marie Akay, Benjamin Gregory Carlisle, Adam Hilbert, Joshua Wendland, Falk Meyer-Eschenbach, Anatol-Fiete Näher, Dietmar Frey, Vince Istvan Madai

“…Although promising, such algorithms often overfit their training cohort and perform worse at new hospitals. …”
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