Results 121 to 130 of about 1,212,418 (284)

Machine learning for predicting clinical outcomes of hospitalised children: a systematic review of applications in low- and middle-income countries. [PDF]

EClinicalMedicine
Nkhono W, van Lieshout E, Calis J, Naanyu V, Hoogendoorn M, Phiri KS, Villalobos-Quesada M.   +6 more
europepmc   +1 more source

Machine learning vs. classic statistics for the prediction of IVF outcomes

Journal of Assisted Reproduction and Genetics, 2020
Z. Barnett-Itzhaki, Miriam Elbaz, Rachely Butterman, Devora Amar, Moshe Amitay, C. Racowsky, R. Orvieto, R. Hauser, A. Baccarelli, R. Machtinger   +9 more
semanticscholar   +1 more source

Power Quality 24-Hour Prediction Using Differential, Deep and Statistics Machine Learning Based on Weather Data in an Off-Grid

, 2022
Ladislav Zjavka
openalex   +1 more source

A Soft Microrobot for Single‐Cell Transport, Spheroid Assembly, and Dual‐Mode Drug Screening

Advanced Materials, EarlyView.
A soft, untethered hydrogel microrobot enables precise single‐cell delivery, self‐assembly into 3D spheroids, and real‐time thermal actuation. Driven by light‐induced convection and embedded with gold nanorods and temperature sensors, the microrobot guides cells, modulates local microenvironments, and supports drug testing.
Philipp Harder, Nergishan İyisan, Yukun Wang, Berna Özkale   +3 more
wiley   +1 more source

Identifying the top predictors of student well-being across cultures using machine learning and conventional statistics [PDF]

Ronnel B. King, Yi Wang, Lingyi Fu, Shing On Leung   +3 more
openalex   +1 more source

A new generic method to improve machine learning applications in official statistics

, 2021
Kevin Kloos
openalex   +2 more sources

Giga‐Voxel Multiscale Composite Architecture Mirrored Through a Data‐to‐Model Closed‐Loop Digital Twin

Advanced Materials, EarlyView.
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu, Seungsoo Jang, Young Seok Cho, Seunggyu Park, Jun Yeon Hwang, Soon Hyung Hong, Thomas James Marrow, Kang Taek Lee   +7 more
wiley   +1 more source

Resolving Interpretation Challenges in Machine Learning Feature Selection With an Iterative Approach in Biomedical Pain Data. [PDF]

Eur J Pain
Lötsch J, Himmelspach A, Kringel D.
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Leveraging explainable artificial intelligence and spatial analysis for communicable diseases in Asia (2000-2022) based on health, climate, and socioeconomic factors. [PDF]

Int J Health Geogr
Rahman MS, Shiddik MAB.
europepmc   +1 more source