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    <title>Results for "Machine learning"</title>
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      <title>Predicting transition to psychiatric disorders in clinical high-risk for psychosis subjects using machine learning and facial features.</title>
      <pubDate>Thu, 01 Jan 2026 10:44:28 -0300</pubDate>
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      <author>Loch, Alexandre Andrade</author>
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      <dc:date>2026-09-01</dc:date>
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      <title>Diagnostic classification of mild cognitive impairment in Parkinson's disease using subject-level stratified machine-learning analysis.</title>
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      <author>Wang, Jing</author>
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      <dc:date>2025</dc:date>
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      <title>All-Cause Mortality Prediction in Subjects with Diabetes Mellitus Using a Machine Learning Model and Shapley Values.</title>
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      <title>Classifying Alzheimer's disease and normal subjects using machine learning techniques and genetic-environmental features.</title>
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      <title>Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.</title>
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      <title>Detecting the impact of subject characteristics on machine learning-based diagnostic applications.</title>
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      <title>Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.</title>
      <pubDate>Thu, 01 Jan 2026 10:44:28 -0300</pubDate>
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      <title>Artificial Intelligence in ALK -Rearranged NSCLC: Forecasting Response and Resistance.</title>
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      <title>Bibliometric Examination of Artificial Intelligence Studies on Infants.</title>
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      <title>Decision Support for Tactical Combat Casualty Care Using Machine Learning to Detect Shock.</title>
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      <title>Automated indexing in MEDLINE and the Medical Text Indexer (MTI), 2000-2025: a scoping review.</title>
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      <title>From Classic Labor to the Labor of the "General Intellect": The Impact of the Digital Intelligence Era on Socialist Labor Theory.</title>
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      <title>Abnormal brain structure as a potential biomarker for venous erectile dysfunction: evidence from multimodal MRI and machine learning.</title>
      <pubDate>Mon, 01 Jan 2018 10:44:28 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/131115228</link>
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      <author>Li, Lingli</author>
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      <title>Artificial Intelligence in Cardiopulmonary Resuscitation: Revolutionizing Resuscitation Through Precision and Prediction – A Narrative Review.</title>
      <pubDate>Wed, 01 Jan 2025 10:44:28 -0300</pubDate>
      <link>https://descubridor.academia.cl/EITRecord/189595369</link>
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      <author>Parizad, Razieh</author>
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      <title>Literary characters and GPT-4: from William Shakespeare to Elena Ferrante.</title>
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      <title>The Explanatory Role of Machine Learning in Molecular Biology: The Explanatory Role of Machine Learning...: F. Gross.</title>
      <pubDate>Wed, 01 Jan 2025 10:44:28 -0300</pubDate>
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      <title>Theories for social justice and reduction of inequalities: a review of freirean communications.</title>
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      <title>Visuospatial memory in apraxia: Exploring quantitative drawing metrics to assess the representation of local and global information.</title>
      <pubDate>Wed, 01 Jan 2025 10:44:28 -0300</pubDate>
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      <title>PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews.</title>
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      <title>Artificial intelligence in fracture detection on radiographs: a literature review.</title>
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      <title>Stellar Classification by Machine Learning.</title>
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      <title>Remote fit wrist braces through artificial intelligence.</title>
      <pubDate>Sun, 01 Jan 2023 10:44:28 -0300</pubDate>
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      <title>CNS Summit 2024: Abstracts of Poster Presentations...CNS Summit 2024, November 10-13, 2024, Boston, Massachusetts.</title>
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      <title>Effect of Human Head Shape on the Risk of Traumatic Brain Injury: A Gaussian Process Regression-Based Machine Learning Approach.</title>
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      <title>Neuroimage analysis using artificial intelligence approaches: a systematic review.</title>
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      <title>Machine-learning-based prediction of pre-eclampsia using first-trimester maternal characteristics and biomarkers.</title>
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