Results 21 to 30 of about 533,821 (259)

Reconstructing lost BOLD signal in individual participants using deep machine learning

Nature Communications, 2020
Signal loss in blood oxygen level‐dependent (BOLD) fMRI can lead to misinterpretation of findings. The authors trained a deep learning model to reconstruct compromised BOLD signal in datasets from healthy participants and in patients whose scans suffered
Yuxiang Yan, Louisa Dahmani, Jianxun Ren, Lunhao Shen, Xiaolong Peng, Ruiqi Wang, Changgeng He, Changqing Jiang, Chen Gong, Ye Tian, Jianguo Zhang, Yi Guo, Yuanxiang Lin, Shijun Li, Meiyun Wang, Luming Li, Bo Hong, Hesheng Liu   +17 more
doaj   +1 more source

Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning

Nature Communications, 2023
Epigenetic modifications are dynamic mechanisms involved in the regulation of gene expression. Unlike the DNA sequence, epigenetic patterns vary not only between individuals, but also between different cell types within an individual.
Alex Hawkins-Hooker, Giovanni Visonà, Tanmayee Narendra, Mateo Rojas-Carulla, Bernhard Schölkopf, Gabriele Schweikert   +5 more
doaj   +1 more source

Verifying Individual Fairness in Machine Learning Models

CoRR, 2020
An extended version of the paper accepted at UAI 2020, 12 pages, code is available at https://github.com/philips-george/ifv-uai ...
Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha   +2 more
openaire   +3 more sources

Determining university’s readiness to implement AI technologies for personalizing educational paths

Вестник университета, 2023
The key issue of the article is to determine readiness of HEIs to implement artificial intelligence and machine learning technologies for personalization of students’ individual educational trajectories (hereinafter – IET).
V. S. Starostin, K. A. Arzhanova, D. V. Dolgopolov, A. D. Ditrikh   +3 more
doaj   +1 more source

The economic explainability of machine learning and standard econometric models-an application to the U.S. mortgage default risk

International Journal of Strategic Property Management, 2021
This study aims to bridge the gap between two perspectives of explainability−machine learning and engineering, and economics and standard econometrics−by applying three marginal measurements.
Dong-sup Kim, Seungwoo Shin
doaj   +1 more source

Machine learning for modeling animal movement.

PLoS ONE, 2020
Animal movement drives important ecological processes such as migration and the spread of infectious disease. Current approaches to modeling animal tracking data focus on parametric models used to understand environmental effects on movement behavior and
Dhanushi A Wijeyakulasuriya, Elizabeth W Eisenhauer, Benjamin A Shaby, Ephraim M Hanks   +3 more
doaj   +1 more source

Ball Throwing Machine Design To Develop Footballers’ Technical Attributes

European Mechanical Science, 2021
For a football player to perform well in football, it is necessary to improve his technical and tactical skills. Improving these skills is enabled with repetition of the same positions that the football player has the ball.
Turgut Kaplan, Cemile Arslan, Humar Kahramanlı, Gökhan Yalçın, Mustafa Arslan   +4 more
doaj   +1 more source

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi, Rie Tanaka, Reona Kawahira, Shingo Nabeta, Kouhei Naoi, Kazuhito Kitajima, Akira Wada, Tomonari Takagi, Norihiko Ohura, Akira Miyamoto   +9 more
wiley   +1 more source

Could You Understand Me? The Relationship among Method Complexity, Preprocessing Complexity, Interpretability, and Accuracy

Mathematics, 2023
The need to train experts who will be able to apply machine learning methods for knowledge discovery is increasing. Building an effective machine learning model requires understanding the principle of operation of the individual methods and their ...
Lívia Kelebercová, Michal Munk, František Forgáč   +2 more
doaj   +1 more source

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Rasheed A. Balogun   +4 more
wiley   +1 more source