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    <title>Resultados para "Machine learning"</title>
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      <title>Integrating Serum Lipid Biomarkers Into Machine Learning for the Differential Diagnosis of Breast Nodules.</title>
      <pubDate>Tue, 01 Jan 0008 04:52:24 -0442</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/196384953</link>
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      <author>Chen, Longmei</author>
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      <dc:date>2026-08-21</dc:date>
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      <title>Practical Machine Learning : A Beginner's Guide with Ethical Insights</title>
      <pubDate>Wed, 01 Jan 2025 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/4023047</link>
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      <author>Ally S. Nyamawe</author>
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      <dc:date>2025</dc:date>
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      <title>An Integrated Statistical and Machine Learning Approach for Breast Cancer Classification Using Tumor Morphological Features.</title>
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      <title>Effect of a Machine Learning Algorithm to Guide Goal-Directed Therapy After Cardiac Surgery.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
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      <title>Interpretable Machine Learning for Stroke Recovery: Predicting Discharge and 3-Month Functional Outcomes.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
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      <title>From Readiness to Response: AIDriven Antenatal Risk Assessment (mHealth application) and Machine Learning techniques for Midwives Predicting Maternal and Neonatal Outcomes in Low Resource Healthcare Settings.</title>
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      <title>A hierarchical approach to the causality of shipyard accidents with integrated machine learning methods.</title>
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      <title>Artificial Intelligence in Unexplained Infertility: A Systematic Review of Machine Learning-Based Predictive Models.</title>
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      <title>Prediction of Breast Cancer Metastasis Using Tree-Based Machine Learning Models: A Retrospective Analysis of Iranian Women.</title>
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      <title>Collaborative machine learning-guided overall survival prediction of oral squamous cell carcinoma.</title>
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      <title>Using the Machine Learning Algorithm XGBoost to Understand the Correlates of Wearing Hearing Protection in Central States' Agricultural Producers.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
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      <dc:date>2026-09-01</dc:date>
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      <title>Nutritional Characteristics of Foods With Addictive Potential: A Machine-Learning Approach.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
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      <author>Gearhardt, Ashley N.</author>
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      <dc:date>2026-07-01</dc:date>
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      <title>Unraveling the mechanisms of bisphenol A-Induced lupus nephritis through network toxicology and machine learning approaches.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/193489432</link>
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      <author>Tang, Zhongfu</author>
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      <title>Vocal Biomarkers of Childhood Trauma: A Machine-Learning Approach to Speech Analysis.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/193696198</link>
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      <author>Adem, Hicham</author>
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      <dc:date>2026-05-01</dc:date>
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      <title>Development and Validation of an Interpretable Machine Learning Model for Inpatient Fall Risk Using Electronic Health Record Data.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/196616853</link>
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      <author>Mordiffi, Siti Zubaidah</author>
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      <dc:date>2026-08-01</dc:date>
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      <title>Clinical Prediction of Posttreatment Migraine Recurrence Using Biofeedback Data: A Machine Learning Framework for Enhanced Patient Stratification and Treatment Monitoring.</title>
      <pubDate>Wed, 01 Jan 0003 04:52:24 -0442</pubDate>
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      <title>Development and Evaluation of an Optimal Machine Learning Model for Predicting Nutritional Risk in Nasopharyngeal Carcinoma Patients: A Cross-Sectional Study.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/190553135</link>
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      <author>Zhu, Benxiang</author>
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      <dc:date>2026</dc:date>
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      <title>Identification of Risk Factors for Type 2 Diabetes Mellitus: A Machine Learning Approach.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/194639944</link>
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      <dc:date>2026-06-01</dc:date>
      <dc:creator>Budak, Serkan</dc:creator>
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    <item>
      <title>Predictors of enacted stigma following disclosure among people in recovery from opioid use disorder: a machine learning approach.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/193710444</link>
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      <author>Mousavi, Mohammad</author>
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      <dc:date>2026-06-01</dc:date>
      <dc:creator>Mousavi, Mohammad</dc:creator>
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    <item>
      <title>Enhancing Hypertension Risk Diagnosis Using a Hybrid Machine Learning Framework: Leveraging Body Composition Data.</title>
      <pubDate>Tue, 01 Jan 0002 04:52:24 -0442</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/191298417</link>
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      <author>Mirzaye, Abdul Wahid</author>
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      <dc:date>2026-02-01</dc:date>
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      <title>Machine Learning-Based Classification of Alertness Levels in Elite Shooting Athletes Using Heart Rate Variability.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/195156793</link>
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      <author>Lu, Jiaojiao</author>
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      <title>Cognitive Measures in Developmental Language Disorder Classification in Monolingual and Bilingual Children: A Machine Learning Approach.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/192310462</link>
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      <author>Plym, Jade</author>
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      <dc:date>2026-03-01</dc:date>
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      <title>Fivefold Cross-Validation Approach in Evaluating the Robustness of Machine Learning Models for Prediction of Esophageal Cancer.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/192310379</link>
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      <title>Machine Learning–Based Identification and Validation of PYCR1 and PYGM as Prognostic Biomarkers for Osteosarcoma.</title>
      <pubDate>Sat, 01 Jan 0005 04:52:24 -0442</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/194089745</link>
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      <title>Identifying Immunological Biomarkers for Major Depressive Disorder: Insights From Machine Learning, Single‐Nucleus Bioinformatics, and Experimental Validation.</title>
      <pubDate>Thu, 01 Jan 0004 04:52:24 -0442</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/192938471</link>
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      <title>Comparing the performance of narrow vs. broad search strategies when using machine learning-based software for title/abstract screening.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
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      <title>Reducing the Risk of Upcoding in DRG Grouping Through a Two-Stage DRG Grouper Based on Machine Learning.</title>
      <pubDate>Sat, 01 Jan 0011 04:52:24 -0442</pubDate>
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      <title>Season and weather factors matter, but not enough: a machine learning-based study on predicting incremental lifetime cancer risk of polycyclic aromatic hydrocarbons.</title>
      <pubDate>Wed, 01 Jan 2025 04:52:24 -0300</pubDate>
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      <dc:date>2025-10-01</dc:date>
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      <title>Machine Learning–Based Prediction of Subsyndromal Delirium in Intensive Care Patients.</title>
      <pubDate>Thu, 01 Jan 2026 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/190590285</link>
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      <title>Development of a Machine Learning-Based Nutrition-Related Surgical Risk Assessment Model for Older Patients with Gastrointestinal Malignancies.</title>
      <pubDate>Wed, 01 Jan 2025 04:52:24 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/188316559</link>
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