Recommender systems may enhance the discovery of novelties by Giordano De Marzo, Pietro Gravino, Vittorio Loreto

“…While some believe they may limit new content exploration and promote opinion polarization, a systematic analysis is still lacking. …”
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Algorithmic indexing in MEDLINE frequently overlooks important concepts and may compromise literature search results by Alexandre Amar-Zifkin, Taline Ekmekjian, Virginie Paquet, Tara Landry

“…As a consequence, relevant publications may be omitted from search results and irrelevant ones may be retrieved. …”
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APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS by Phạm Quang Thuận, Nguyễn Đình Thuân

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High sensitivity of HIV antibody screening tests may lead to longer time to diagnosis: a Case Report by Yuanfang Wang, Lan Luo, Jielun Deng, Xiaohan Li, Yi Xie, Dongdong Li

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A Space-Time Plume Algorithm to Represent and Compute Dynamic Places by Brent Dell, May Yuan

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From Algorithms to Insight: The Transformative Power of Artificial Intelligence and Machine Learning in Urological Cancer Research by Matthias May, Sabine Brookman-May, Emily Rinderknecht

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The Field Attributes May not Accurately Predict the Need for Early Tracheostomy Tube Insertion in Severe TBI Patients: A New Insight With the Help of AI Algorithms by Adrina Habibzadeh, Sepehr Khademolhosseini, Reza Taheri, Amin Niakan, Saeed Tayebi Khorami, Hadis Ghasemi, HosseinAli Khalili

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The Specialist’s Paradox: Generalist AI May Better Organize Medical Knowledge by Carlo Galli, Maria Teresa Colangelo, Marco Meleti, Elena Calciolari

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Lossy DICOM conversion may affect AI performance by Robin Sebastian Mayer, Fabian Fliedner, Ingvild Frøberg Mathisen, Anna Laib, Julia Bein, Marco Eichelberg, Peter J. Wild, Nadine Flinner

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May the Extensive Farming System of Small Ruminants Be Smart? by Rosanna Paolino, Adriana Di Trana, Adele Coppola, Emilio Sabia, Amelia Maria Riviezzi, Luca Vignozzi, Salvatore Claps, Pasquale Caparra, Corrado Pacelli, Ada Braghieri

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RESEARCH OF FACTORS, WHICH MAY LEED TO ECONOMIC EMERGENCY APPEARANCE by O. O. Trush, D. A. Gorovyi, O. M. Goncharenko

“… The purpose of the paper is to determine the factors that may lead to the appearance of an economic emergency, to elaborate a scheme for the economic growth of an economic character emergency, and to study more precisely the causes of their occurrence and the consequences to which they may lead. …”
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Refinement of an Algorithm to Detect and Predict Freezing of Gait in Parkinson Disease Using Wearable Sensors by Allison M. Haussler, Lauren E. Tueth, David S. May, Gammon M. Earhart, Pietro Mazzoni

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Assessing the performance of the Asian/Pacific islander identification algorithm to infer Hmong ethnicity from electronic health records in California by Susan L Stewart, May Ying N Ly, Katherine K Kim

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Three-dimensional Feature Tracking Cardiac Magnetic Resonance in Hypertrophic Cardiomyopathy: Comparison with Two-Dimensional Algorithm by Tomoaia Raluca, Lwin May, Soo Chin Yit, Anderton Thomas, Kamani Christel, Javed Wasim, Wahab Ali, Plein Sven

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Lexical algorithmic resistance: Tactics of deceiving Arabic content moderation algorithms on Facebook by Reham Hosny, Mohamed A Nasef

“…This study examines the lexical tactics of algorithmic resistance employed by Arab users to deceive Facebook content moderation algorithms in the case of censoring pro-Palestinian voices on Facebook, a phenomenon particularly conspicuous during the Palestine–Israel incidents of evicting East Jerusalem's Sheikh Jarrah neighbourhood in May 2021. …”
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REVIEW OF FEATURE SELECTION METHODS USING OPTIMIZATION ALGORITHM (Review paper for optimization algorithm) by Zana O. Hamad

“…The overall results confirmed that the feature selection approach is important in reducing the complexity of any model-based machine learning algorithm and may sometimes result in improved performance of the simulated model.…”
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Methylated SEPTIN9 plasma test for colorectal cancer detection may be applicable to Lynch syndrome by Maria Christensen, Andrew E Hendifar, Rachel Pearlman, Sigurdis Haraldsdottir, Albert de la Chapelle, Heather Hampel, Megan P Hitchins, Ingrid P Vogelaar, Kevin Brennan, Nianmin Zhou, Brock Martin, Rocio Alvarez, Xiaopu Yuan, Sungjin Kim, Maha Guindi, Matthew F Kalady, Jennifer DeVecchio, James M Church, Carrie Snyder, Stephen J Lanspa, Robert W Haile, Henry T Lynch

“…Specificity in controls was 100% (95% CI 89%-100%).Conclusion These preliminary findings suggest mSEPT9 may demonstrate similar diagnostic performance characteristics in LS as in the average-risk population, warranting a well-powered prospective case–control study.…”
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Algorithm of echocardiography in pregnant women by S. G. Gorokhova, T. E. Morozova, A. A. Arakelyants, E. A. Barabanova, E. G. Dyakonova

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Predictive Algorithms and Perceptions of Fairness: Parent Attitudes Toward Algorithmic Resource Allocation in K-12 Education by Rebecca A. Johnson, Simone Zhang

“…As institutions increasingly use predictive algorithms to allocate scarce resources, scholars have warned that these algorithms may legitimize inequality. …”
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Artificial Intelligence Models May Aid in Predicting Lymph Node Metastasis in Patients with T1 Colorectal Cancer by Ji Eun Baek, Hahn Yi, Seung Wook Hong, Subin Song, Ji Young Lee, Sung Wook Hwang, Sang Hyoung Park, Dong-Hoon Yang, Byong Duk Ye, Seung-Jae Myung, Suk-Kyun Yang, Namkug Kim, Jeong-Sik Byeon

“…Background/Aims: Inaccurate prediction of lymph node metastasis (LNM) may lead to unnecessary surgery following endoscopic resection of T1 colorectal cancer (CRC). …”
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