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  1. 6881

    The association between metabolomic profiles of lifestyle and the latent phase of incident chronic kidney disease in the UK Population by Tingting Jin, Yunqi Wu, Siyi Zhang, Ya Peng, Yao Lin, Saijun Zhou, Hongyan Liu, Pei Yu

    Published 2025-01-01
    “…A total of 249 biological metabolites covering multiple categories were determined by the NMR Metabolomics Platform. Random forest algorithms and LASSO regression were employed to identify lifestyle-related metabolites. …”
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  2. 6882

    Penerapan Decision Tree dan Random Forest dalam Deteksi Tingkat Stres Manusia Berdasarkan Kondisi Tidur by Sza Sza Amulya Larasati, Elok Nuraida Kusuma Dewi, Brahma Hanif Farhansyah, Fitra Abdurrachman Bachtiar, Fajar Pradana

    Published 2024-10-01
    “…Hyperparameter tuning is done using k-fold cross-validation, and the model is designed using the Decision Tree and Random Forest classification algorithms. The results show that five features: snoring rate, respiration rate, limb movement including eye movement, and heart rate during sleep are directly proportional to the level of stress. …”
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  3. 6883

    Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning by Zuhui Pu, Zuhui Pu, Tony Bowei Wang, Ying Lu, Ying Lu, Zijing Wu, Zijing Wu, Yuxian Chen, Ziqi Luo, Xinyu Wang, Lisha Mou, Lisha Mou

    Published 2025-01-01
    “…We employed 12 machine learning algorithms to develop predictive models and assessed immune cell infiltration using single-sample gene set enrichment analysis (ssGSEA). …”
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  4. 6884

    Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

    Published 2024-10-01
    “…However, the integration of artificial intelligence (AI) in sleep medicine has made it possible to automate the analysis of sleep phases and respiratory events with high accuracy.Machine learning algorithms and neural networks have proven to be effective in automatic sleep coding, with hit rates comparable to those of human experts. …”
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  5. 6885

    The impact of channel density, inverse solutions, connectivity metrics and calibration errors on OPM-MEG connectivity analysis: A simulation study by Shengjie Qi, Xinda Song, Le Jia, Hongyu Cui, Yuchen Suo, Tengyue Long, Zhendong Wu, Xiaolin Ning

    Published 2025-03-01
    “…Six intersensor spacings were constructed, and six inverse algorithms and six functional connectivity measures were selected to assess their impact on the network reconstruction accuracy. …”
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  6. 6886

    Diagnosis and treatment of disorders of intracranial pressure: consensus statement of the Spanish Society of Neurology’s Headache Study Group by J. García-Ull, N. González-García, M. Torres-Ferrús, D. García-Azorín, I.F.J. Molina-Martínez, I. Beltrán-Blasco, S. Santos-Lasaosa, G. Latorre, A.B. Gago-Veiga, J.M. Láinez, J. Porta-Etessam, C. Nieves-Castellanos, A. Mínguez-Olaondo, A. López-Bravo, S. Quintas, N. Morollón, S. Díaz-Insa, R. Belvís, P. Irimia

    Published 2025-01-01
    “…Therefore, the Spanish Society of Neurology's Headache Study Group (GECSEN) deemed it necessary to prepare this consensus statement, including diagnostic and therapeutic algorithms to facilitate and improve the management of these disorders in clinical practice.This document was created by a committee of experts belonging to GECSEN, and is based on a systematic review of the literature, incorporating the experience of the participants, and establishes practical recommendations with levels of evidence and grades of recommendation. …”
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  7. 6887

    Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer by Lin Ni, Lin Ni, He Li, Yanqi Cui, Wanqiu Xiong, Shuming Chen, Hancong Huang, Zhiwei Wang, Hu Zhao, Hu Zhao, Hu Zhao, Bing Wang, Bing Wang, Bing Wang

    Published 2025-02-01
    “…Three different machine learning algorithms were used to screen out the characteristic circadian genes associated with BC prognosis. …”
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  8. 6888

    Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

    Published 2025-01-01
    “…For developing a predictive model for HF risk in AMI patients, the least absolute shrinkage and selection operator (LASSO) Regression was used to feature selection, and four ML algorithms including Random Forest (RF), Extreme Gradient Boost (XGBoost), Support Vector Machine (SVM), and Logistic Regression (LR) were employed to develop the model on the training set. …”
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  9. 6889

    Early risk assessment in paediatric and adult household contacts of confirmed tuberculosis cases by novel diagnostic tests (ERASE-TB): protocol for a prospective, non-interventiona... by Ursula Panzner, Katharina Kranzer, Tsitsi Bandason, Kuda Mutasa, Sandra Rukobo, Charles Sandy, Bariki Mtafya, Andrea Rachow, Norbert Heinrich, Michael Hoelscher, Judith Bruchfeld, Olena Ivanova, Nyanda Elias Ntinginya, Doreen Pamba, Laura Olbrich, Issa Sabi, Simeon Mwanyonga, Elmar Saathoff, Willyhelmina Olomi, Junior Mutsvangwa, Hazel M Dockrell, Edson Tawanda Marambire, Denise Banze, Alfred Mfinanga, Theodora D Mbunda, Khosa Celso, Gunilla Kallenius, Claire J Calderwood, Christof Geldmacher, Kathrin Held, Tejaswi Appalarowthu, Friedrich Rieß, Anna Shepherd, Christopher Sundling, Mishelle Mugava, Martha Chipinduro, Lwitiho Sudi, Antelmo Haule, Emmanuel Sichone, Paschal Qwaray, Harrieth Mwambola, Lilian Minja, Peter Edwin, Dogo Ngalison, Stella Luswema, Celina Nhamuave, António Machiana, Carla Madeira, Emelva Manhiça, Nádia Sitoe, Jorge Ribeiro

    Published 2022-07-01
    “…The Early Risk Assessment in TB Contacts by new diagnoStic tEsts (ERASE-TB) study aims to evaluate novel diagnostics and testing algorithms for early TB diagnosis and accurate prediction of disease progression among household contacts (HHCs) exposed to confirmed index cases in Mozambique, Tanzania and Zimbabwe.Methods and analysis A total of 2100 HHCs (aged ≥10 years) of adults with microbiologically-confirmed pulmonary TB will be recruited and followed up at 6-month intervals for 18–24 months. …”
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  10. 6890

    Identification and quantification of transposable element transcripts using Long-Read RNA-seq in Drosophila germline tissues by Rebollo, Rita, Gerenton, Pierre, Cumunel, Eric, Mary, Arnaud, Sabot, François, Burlet, Nelly, Gillet, Benjamin, Hughes, Sandrine, S. Oliveira, Daniel, Goubert, Clément, Fablet, Marie, Vieira, Cristina, Lacroix, Vincent

    Published 2024-09-01
    “…Methods to identify and quantify TE transcription have mostly relied on short RNA-seq reads to estimate TE expression at the family level while using specific algorithms to discriminate copy-specific transcription. …”
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  11. 6891

    Enhancing individual glomerular filtration rate assessment: can we trust the equation? Development and validation of machine learning models to assess the trustworthiness of estima... by Antoine Lanot, Anna Akesson, Felipe Kenji Nakano, Celine Vens, Jonas Björk, Ulf Nyman, Anders Grubb, Per-Ola Sundin, Björn O. Eriksen, Toralf Melsom, Andrew D. Rule, Ulla Berg, Karin Littmann, Kajsa Åsling-Monemi, Magnus Hansson, Anders Larsson, Marie Courbebaisse, Laurence Dubourg, Lionel Couzi, Francois Gaillard, Cyril Garrouste, Lola Jacquemont, Nassim Kamar, Christophe Legendre, Lionel Rostaing, Natalie Ebert, Elke Schaeffner, Arend Bökenkamp, Christophe Mariat, Hans Pottel, Pierre Delanaye

    Published 2025-01-01
    “…Four machine learning and two traditional logistic regression models were trained on a cohort of 9,202 participants to predict the likelihood of the EKFC creatinine-derived eGFR falling within 30% (p30), 20% (p20) or 10% (p10) of the mGFR value. The algorithms were internally and then externally validated on cohorts of respectively 3,034 and 10,107 participants. …”
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  12. 6892

    Monitoring poultry social dynamics using colored tags: Avian visual perception, behavioral effects, and artificial intelligence precision by Florencia B. Rossi, Nicola Rossi, Gabriel Orso, Lucas Barberis, Raul H. Marin, Jackelyn M. Kembro

    Published 2025-01-01
    “…However, maintaining the identity of individuals over time, especially in homogeneous poultry flocks, remains challenging for algorithms. We propose using differentially colored “backpack” tags (black, gray, white, orange, red, purple, and green) detectable with computer vision (eg. …”
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  13. 6893

    Stedman's Medical Dictionary for the Health Professions and Nursing.

    Published 2005
    Table of Contents: “…Adverse drug effects during pregnancy -- Anatomy words (English and Latin) -- Arterial blood gas normal values -- Arteries of the human body -- Assessment guide : medications -- Biographic appendix -- Blood groups -- Body mass index table (high range) -- Body mass index table -- Canada's food guide to healthy eating -- Canadian recommended nutrition intakes -- Choosing the route of nutrition support in adults : a clinical decision algorithm -- Classic textbook method of blood gas interpretation -- Classification of overweight and obesity in adults according to BMI -- Classification and therapeutic uses of drugs -- Common abbreviations used in medication orders -- Common medical abbreviations and acronyms -- Common questions about infection surveillance, prevention, and control -- Common tests with descriptions -- Common types of drug preparations -- Commonly prescribed drugs and their applications -- Conversion factors between traditional and SI units -- Development milestones from birth to 5 years -- Diagnosis-related groups -- Dietary reference intakes : recommended intakes for individuals -- DuBois body surface area chart : estimating body surface area of adults and children -- Formulas for computing drug dosages -- Gauging healthy weight : the body mass index -- Glasgow coma scale -- Guideline for hand hygiene in healthcare setting --…”
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  14. 6894

    Extended homogeneous field correction method based on oblique projection in OPM-MEG by Fulong Wang, Fuzhi Cao, Yujie Ma, Ruochen Zhao, Ruonan Wang, Nan An, Min Xiang, Dawei Wang, Xiaolin Ning

    Published 2025-02-01
    “…Subspace projection algorithms are widely used in MEG to suppress noise. …”
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  15. 6895

    Evolving concepts in intracranial pressure monitoring - from traditional monitoring to precision medicine by Rohan Mathur, Lin Cheng, Josiah Lim, Tej D. Azad, Peter Dziedzic, Eleanor Belkin, Ivanna Joseph, Bhagyashri Bhende, Sudha Yellapantula, Niteesh Potu, Austen Lefebvre, Vishank Shah, Susanne Muehlschlegel, Julian Bosel, Tamas Budavari, Jose I. Suarez

    Published 2025-01-01
    “…This paper provides historical and physiological context to the problem of elevated ICP, provides an overview of the challenges of the current paradigm of ICP management strategies, and discusses advances in ICP waveform analysis, emerging non-invasive ICP monitoring techniques, and applications of machine learning to create predictive algorithms.…”
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  16. 6896

    Selection of suitable reference lncRNAs for gene expression analysis in Osmanthus fragrans under abiotic stresses, hormone treatments, and metal ion treatments by Yingting Zhang, Yingting Zhang, Qingyu Yan, Hui Xia, Xiangling Zeng, Xiangling Zeng, Xiangling Zeng, Jie Yang, Jie Yang, Jie Yang, Xuan Cai, Xuan Cai, Xuan Cai, Zeqing Li, Zeqing Li, Hongguo Chen, Hongguo Chen, Hongguo Chen, Jingjing Zou, Jingjing Zou, Jingjing Zou

    Published 2025-01-01
    “…Despite its importance, research on long non-coding RNAs (lncRNAs) in O. fragrans has been constrained by the absence of reliable reference genes (RGs).MethodsWe employed five distinct algorithms, i.e., delta-Ct, NormFinder, geNorm, BestKeeper, and RefFinder, to evaluate the expression stability of 17 candidate RGs across various experimental conditions.Results and discussionThe results indicated the most stable RG combinations under different conditions as follows: cold stress: lnc00249739 and lnc00042194; drought stress: lnc00042194 and lnc00174850; salt stress: lnc00239991 and lnc00042194; abiotic stress: lnc00239991, lnc00042194, lnc00067193, and lnc00265419; ABA treatment: lnc00239991 and 18S; MeJA treatment: lnc00265419 and lnc00249739; ethephon treatment: lnc00229717 and lnc00044331; hormone treatments: lnc00265419 and lnc00239991; Al3+ treatment: lnc00087780 and lnc00265419; Cu2+ treatment: lnc00067193 and 18S; Fe2+ treatment: lnc00229717 and ACT7; metal ion treatment: lnc00239991 and lnc00067193; flowering stage: lnc00229717 and RAN1; different tissues: lnc00239991, lnc00042194, lnc00067193, TUA5, UBQ4, and RAN1; and across all samples: lnc00239991, lnc00042194, lnc00265419 and UBQ4. …”
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  17. 6897

    Sepsis-Associated Acute Kidney Disease Incidence, Trajectory, and Outcomes by Hsiu-Yin Chiang, Chih-Chia Liang, Ya-Luan Hsiao, Uyen-Minh Le, Yi-Ching Chang, Pei-Shan Chen, David Ray Chang, I-Wen Ting, Hung-Chieh Yeh, Chin-Chi Kuo

    Published 2025-03-01
    “…This study aimed to use data algorithms on the electronic health records to trace the SA-AKD trajectory from acute kidney injury (AKI) to chronic kidney disease (CKD). …”
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  18. 6898

    Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI by H. Kim, H. Kim, X. Chen, X. Chen, J. Wang, J. Wang, J. Wang, J. Wang, Z. Lu, Z. Lu, Z. Lu, M. Zhou, G. R. Carmichael, G. R. Carmichael, S. S. Park, J. Kim

    Published 2025-01-01
    “…The differences due to the inconsistent definitions of ALH in various retrieval algorithms are investigated and eliminated before comparison. …”
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  19. 6899

    Serum metabolome associated with novel and legacy per- and polyfluoroalkyl substances exposure and thyroid cancer risk: A multi-module integrated analysis based on machine learning by Fei Wang, Yuanxin Lin, Lian Qin, Xiangtai Zeng, Hancheng Jiang, Yanlan Liang, Shifeng Wen, Xiangzhi Li, Shiping Huang, Chunxiang Li, Xiaoyu Luo, Xiaobo Yang

    Published 2025-01-01
    “…PFHxA and PFDoA exposure associated with increased TC risk, while PFHxS and PFOA associated with decreased TC risk in single compound models (all P < 0.05). Machine learning algorithms identified PFHxA, PFDoA, PFHxS, PFOA, and PFHpA as the key PFAS influencing the development of TC, and mixed exposures have an overall positive effect on TC risk, with PFHxA making the primary contribution. …”
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  20. 6900

    Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data by B. Li, B. Li, B. Li, B. Li, H. Xie, H. Xie, S. Liu, Z. Ye, Z. Hong, Q. Weng, Q. Weng, Q. Weng, Y. Sun, Q. Xu, X. Tong

    Published 2025-01-01
    “…The algorithm scheme presents the details of the strategies used for the various challenges, such as the processing of DEM boundaries, the fusion of the different data, and the geographical layout of the satellite laser altimeter data. …”
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