Results 171 to 180 of about 5,170 (214)

Interpretable Machine Learning Model for Fungal Infection Prediction: A Real‐World Study

Health Care Science, Volume 5, Issue 5, Page 473-486, October 2026.
Our study successfully developed and validated a machine learning model based on large‐scale electronic health record data to predict the risk of fungal infections in hospitalized patients. Through a Streamlit‐powered web platform, the model was seamlessly embedded into clinical workflows, completing the full pipeline from model construction to real ...
Jinru Yang, Shuqi Pan, Tao Luo, Bingzheng Zhang, Bilong Feng, Ying Wang   +5 more
wiley   +1 more source

Hypertension Detection Using Explainable Stacked Ensemble Machine Learning From Clinical and Physiological Data: A Comprehensive Study. [PDF]

Health Sci Rep
Ullah SMA, Aowlad Hossain ABM, Karim ME.
europepmc   +1 more source

Trace Data of Secondary Students and Linguistic Analysis to Predict Learner Performance in a Multi‐Text Writing Task

Journal of Computer Assisted Learning, Volume 42, Issue 5, October 2026.
ABSTRACT Background Writing from multiple sources is a cognitively demanding task that requires students to integrate reading, planning, and composition processes. While prior research has demonstrated the importance of self‐regulated learning (SRL) and linguistic features in predicting writing performance, most studies have focused on university ...
Halima Alnashiri, Mladen Raković, Sadia Nawaz, Xinyu Li, Gloria Fernandez‐Nieto, Keyang Qian, Joni Lämsä, Lyn Lim, Maria Bannert, Sanna Järvelä, Dragan Gašević   +10 more
wiley   +1 more source

Development and internal-external validation of a machine learning-based risk prediction model for multidrug resistance in mechanically ventilated ICU patients with chronic obstructive pulmonary disease. [PDF]

Front Med (Lausanne)
Xu W, Gu Y, Xu J, Sun Y, Xin J, Ma M.
europepmc   +1 more source

Influence of 3D Printing Parameters on ULTEM 9085 Mechanical Properties Using Explainable Machine Learning

SPE Polymers, Volume 7, Issue 4, October 2026.
An explainable machine‐learning framework predicts complete stress–strain behavior and key mechanical properties of FFF‐printed ULTEM 9085 from four printing parameters. Extra Trees delivered the most accurate and stable predictions, while SHAP and LIME clarified how each parameter influences material performance.
Md Asif Hasan, Mohammad Reza Chalak Qazani, Kassandra Herrnandez, Avijit Paul, Hadi Fathollahi Abdar, Mehdi Moayyedian, Houshyar Asadi, Devin J. Roach   +7 more
wiley   +1 more source

AlphaFind v2: similarity search in AlphaFold DB and TED domains across structural contexts. [PDF]

Nucleic Acids Res
Slanináková T, Rošinec A, Čillík J, Křenek A, Gresova K, Porubská J, Maršálková E, Olha J, Procházka D, Hejtmánek L, Dohnal V, Berka K, Svobodová R, Antol M.   +13 more
europepmc   +1 more source

Tailored Plasmon‐Like Resonance on Ultralight Fly Ash Honeycomb for High‐Efficiency Electromagnetic Absorption

Rare Metals, Volume 45, Issue 10, October 2026.
ABSTRACT Reflection loss (RL) ≤ −15 dB (corresponding to 96.875% electromagnetic energy absorption), a core metric for moderate‐ to high‐temperature (< 600°C) electromagnetic protection materials, is critical for ensuring the reliability of aerospace high‐temperature structural components.
Chunyan Ding, Shanshan Fan, Junyu Shen, Guohao Wu, Keying Mao, Haoyu Wang, Hongchang Pei, Bo Zhong, Long Xia, Guangwu Wen, Xiaoxiao Huang   +10 more
wiley   +1 more source

Biobank-scale genotype similarity search and dynamic patient-matched cohort creation with GenoSiS. [PDF]

Genome Res
Schneider K, Chowdhury M, Tepper M, Khan JB, Shortt JA, Gignoux C, Layer RM.   +6 more
europepmc   +1 more source

Digital Twins for Offshore Wind Operation and Maintenance: A Review

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT Offshore wind has become a key focus for achieving carbon neutrality. However, offshore wind turbines face considerable operational and maintenance challenges due to harsh conditions and difficult access. Integrating digital twin technology helps support operation and maintenance activities.
Xiaomei Hu, Ravi Pandit, Yifan Zhao, Bernadin Namoano, Jiarong Hong   +4 more
wiley   +1 more source

Understanding emotional responses to music using machine learning: evidence from a public dataset. [PDF]

Front Psychol
Sun H.
europepmc   +1 more source