Q&A: What AI actually does in diffusion models for drug design

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
IEEE

Enhancing Credit Risk Assessment with Machine Learning Algorithms: A Comparative Study of Label Encoding and One-Hot Encoding Across Multiple Classifiers

Abstract: This study focuses on using machine learning for credit risk assessment, which is crucial in making financial decisions. As financial systems become more complex, traditional methods are no ...
Scientific Research Publishing

Ranga, D., Rana, A., Prajapat, S., Kumar, P., Kumar, K. and Vasilakos, A.V. (2024) Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and ...

ABSTRACT: Depression is a clinically heterogeneous disorder comprising subtypes such as melancholic, atypical, anxious, and unspecified, each characterized by distinct symptom profiles and treatment ...
techxplore

Detecting electricity demand patterns using a new method for high-dimensional binary data

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only existing device operation data. Developed by researchers at the Institute of ...
Scientific Research Publishing

Al-Shehari, T. and Alsowail, R.A. (2021) An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques. Entropy, 23 ...

ABSTRACT: Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial ...