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  1. 41

    Regression Models for Predicting Physicochemical Properties of Biochar by Chiaw Hui Chiew, Li Yee Lim, Pei Ying Ong, Chunjie Li, Yee Van Fan

    Published 2024-11-01
    “…This study evaluates the effectiveness of various regression models in predicting the physicochemical properties of biochar, essential for sustainable agriculture and environmental remediation. …”
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    Article
  2. 42

    Probabilistic medical predictions of large language models by Bowen Gu, Rishi J. Desai, Kueiyu Joshua Lin, Jie Yang

    Published 2024-12-01
    “…Abstract Large Language Models (LLMs) have shown promise in clinical applications through prompt engineering, allowing flexible clinical predictions. …”
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    Article
  3. 43

    Enhancing Accuracy and Explainability of Recidivism Prediction Models by Tammy Babad, Soon Ae Chun

    Published 2023-05-01
    “…Automated prediction models suffer from low accuracy and are associated with criticism for biased and unexplainable decision-making. …”
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    Article
  4. 44
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    Comparison of machine learning models for coronavirus prediction by B. K. Amos, I. V. Smirnov, M. M. Hermann

    Published 2022-03-01
    “…The study objective is to build a model based on machine learning that can predict the detection of SARS-CoV-2 from medical data. …”
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    Article
  6. 46
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    CPLLM: Clinical prediction with large language models. by Ofir Ben Shoham, Nadav Rappoport

    Published 2024-12-01
    “…We present Clinical Prediction with Large Language Models (CPLLM), a method that involves fine-tuning a pre-trained Large Language Model (LLM) for predicting clinical disease and readmission. …”
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    Article
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    The Application of Machine Learning Models to Predict Stillbirths by Oguzhan Gunenc, Sukran Dogru, Fikriye Karanfil Yaman, Huriye Ezveci, Ulfet Sena Metin, Ali Acar

    Published 2025-03-01
    “…<i>Background and Objectives</i>: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clinics for the detection of stillbirth and the predictive ability set of machine learning models for stillbirth. …”
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    Article
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    Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

    Published 2025-01-01
    “…To address the complexity of multi-layer networks derived from signed networks, we modify the temporal exponential random graph model framework. Our method significantly improves out-of-sample prediction accuracy for network ties, with additional predictive power from incorporating negative network information. …”
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    Article
  12. 52

    Predictive models and WTAP targeting for idiopathic pulmonary fibrosis (IPF) by Guo-Dong Li, Juan Li, Jia-Qi Fan, Jun-Yi Li, Bin Zhao, Xiao Chen

    Published 2025-04-01
    “…This research analyzed the GSE93606 dataset of 20 non-IPF and 154 IPF patients, identifying 26 m6A regulators and developing predictive models with RF and SVM, assessed via ROC curves. …”
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    Article
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    Predictive Control of Mobile Robot Using Kinematic and Dynamic Models by Manel Mendili, Faouzi Bouani

    Published 2017-01-01
    “…Two predictive controllers are developed. The first is based on the kinematic model and the second is founded on the dynamic model. …”
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    Article
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    Prediction of permeability of amended soil using ensembled artificial intelligence models by Ankit Kumar, Rohit Ahuja

    Published 2025-04-01
    “…Through comparative analysis, the Gradient Boost with Decision Tree (GB-DTR) model is found to be best-performed model, with R2 = 0.9919. …”
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    Article
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