Data normalization in machine learning by V. V. Starovoitov, Yu. I. Golub

“…In machine learning, the input data is often given in different dimensions. …”
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Machine learning for drug science by Walter F. de Azevedo Jr.

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Machine Learning for Medical Applications by Huiyu Zhou, Jinshan Tang, Huiru Zheng

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Clinical Applications of Machine Learning by Nadayca Mateussi, PhD, Michael P. Rogers, MD, Emily A. Grimsley, MD, Meagan Read, MD, Rajavi Parikh, DO, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD

“…This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. …”
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Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“… This review article focuses on the application of machine learning (ML) algorithms in medical image classification. …”
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Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…This study highlights the potential and limitations of machine learning in stroke prediction, showing that people need further optimization to enhance diagnostic performance.…”
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Machine learning in the prediction of human wellbeing by Ekaterina Oparina, Caspar Kaiser, Niccolò Gentile, Alexandre Tkatchenko, Andrew E. Clark, Jan-Emmanuel De Neve, Conchita D’Ambrosio

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MLHOps: Machine Learning Health Operations by Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloe Pou-Prom, Sedef Akinli-Kocak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

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Survey on Lie Group Machine Learning by Mei Lu, Fanzhang Li

Subjects: “…lie group machine learning…”
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Beyond personas. Machine Learning to personalise the project by Niccolò Casiddu, Francesco Burlando, Isabella Nevoso, Claudia Porfirione, Annapaola Vacanti

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Machine learning models for water safety enhancement by Fatemeh Ranjbar, Hossein Sadeghi, Reza Pourimani, Soraya Khanmohammadi

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Nanodiamond quantum thermometry assisted with machine learning by Kouki Yamamoto, Kensuke Ogawa, Moeta Tsukamoto, Yuto Ashida, Kento Sasaki, Kensuke Kobayashi

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Intrusion detection method based on machine learning by TIAN Xin-guang1, GAO Li-zhi2, ZHANG Er-yang1

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Network modal innovation for distributed machine learning by Zehua GUO, Haowen ZHU, Tongwen XU

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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…In this study, machine learning (ML) classifiers were evaluated for their effectiveness in predicting diabetes using the Pima Indians Diabetes Database. …”
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Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

“…This will result in the development of new machine-learning paradigms and a significant advancement in the field of quantum computation. …”
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Machine learning algorithms in air quality modeling by A. Masih

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