Results 11 to 20 of about 6,061,294 (414)

REAL WORLD DATA

Kidney360
Clinical evidence is increasingly coming from real-world data (RWD). RWD are generated and utilized by a wide range of stakeholders, including biopharmaceutical companies, payers, clinical researchers, providers and patients. The despite of fact that drug regulation is the most well-known application for them.
Neumiller, Joshua J., Tuttle, Katherine R.   +1 more
semanticscholar   +4 more sources

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data [PDF]

IEEE International Conference on Computer Vision, 2019
Deep learning techniques for point cloud data have demonstrated great potentials in solving classical problems in 3D computer vision such as 3D object classification and segmentation. Several recent 3D object classification methods have reported state-of-
M. Uy, Quang-Hieu Pham, Binh-Son Hua, D. Nguyen, Sai-Kit Yeung   +4 more
semanticscholar   +1 more source

Machine Learning: Algorithms, Real-World Applications and Research Directions

SN Computer Science, 2021
In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc.
Iqbal H. Sarker
semanticscholar   +1 more source

A global federated real-world data and analytics platform for research

JAMIA Open, 2023
Objective This article describes a scalable, performant, sustainable global network of electronic health record data for biomedical and clinical research.
M. Palchuk, J. London, D. Pérez-Rey, Z. Drebert, Jessamine P Winer-Jones, C. Thompson, John J. Esposito, B. Claerhout   +7 more
semanticscholar   +1 more source

Real-world data: a brief review of the methods, applications, challenges and opportunities

BMC Medical Research Methodology, 2022
Background The increased adoption of the internet, social media, wearable devices, e-health services, and other technology-driven services in medicine and healthcare has led to the rapid generation of various types of digital data, providing a valuable ...
Fang Liu, Demosthenes Panagiotakos
semanticscholar   +1 more source

Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving [PDF]

ACM Journal on Autonomous Transportation Systems, 2023
Modern autonomous systems require extensive testing to ensure reliability and build trust in ground vehicles. However, testing these systems in the real-world is challenging due to the lack of large and diverse datasets, especially in edge cases ...
Xiangyu Bai, Yedi Luo, Le Jiang, Aniket Gupta, Pushyami Kaveti, H. Singh, S. Ostadabbas   +6 more
semanticscholar   +1 more source

Defining the role of real-world data in cancer clinical research: The position of the European Organisation for Research and Treatment of Cancer.

European Journal of Cancer, 2023
The emergence of the precision medicine paradigm in oncology has led to increasing interest in the integration of real-world data (RWD) into cancer clinical research.
R. Saesen, M. van Hemelrijck, J. Bogaerts, C. Booth, J. Cornelissen, A. Dekker, E. Eisenhauer, A. Freitas, A. Gronchi, M. Hernán, F. Hulstaert, P. Ost, P. Szturz, H. Verkooijen, M. Weller, R. Wilson, D. Lacombe, W. V. D. van der Graaf   +17 more
semanticscholar   +1 more source

Approach to machine learning for extraction of real-world data variables from electronic health records

medRxiv, 2023
Background: As artificial intelligence (AI) continues to advance with breakthroughs in natural language processing (NLP) and machine learning (ML), such as the development of models like OpenAI's ChatGPT, new opportunities are emerging for efficient ...
Blythe Adamson, Michael L. Waskom, A. Blarre, Jonathan Kelly, K. Krismer, S. Nemeth, James Gippetti, J. Ritten, Katherine Harrison, George Ho, R. Linzmayer, Tarun Bansal, S. Wilkinson, G. Amster, Evan Estola, C. Benedum, E. Fidyk, M. Estévez, Will Shapiro, Aaron B Cohen   +19 more
semanticscholar   +1 more source

Application of machine learning in predicting survival outcomes involving real-world data: a scoping review

BMC Medical Research Methodology, 2023
Background Despite the interest in machine learning (ML) algorithms for analyzing real-world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common scenario in clinical practice, is less explored.
Yinan Huang, Jieni Li, Mai Li, R. Aparasu   +3 more
semanticscholar   +1 more source

Effects of Motherwort Injection Versus Intramuscular Oxytocin for Preventing Postpartum Hemorrhage Among Women Who Underwent Cesarean Section

Frontiers in Pharmacology, 2022
Objectives: Subject to ethical constraints, real-world data are an important resource for evaluating treatment effects of medication use during pregnancy and the postpartum period.
Ming-xi Li, Ming-xi Li, Ming-xi Li, Chun-rong Liu, Chun-rong Liu, Chun-rong Liu, Meng Chen, Hong-cai Shang, Wen Wang, Wen Wang, Wen Wang, Xiao-chao Luo, Xiao-chao Luo, Xiao-chao Luo, Ling Li, Ling Li, Ling Li, Ya-na Qi, Ya-na Qi, Ya-na Qi, Yi-quan Xiong, Yi-quan Xiong, Yi-quan Xiong, Shi-yao Huang, Shi-yao Huang, Jing Wang, Jing Wang, Jing Wang, Kang Zou, Kang Zou, Kang Zou, Xing-hui Liu, Jing Tan, Jing Tan, Jing Tan, Xin Sun, Xin Sun, Xin Sun   +37 more
doaj   +1 more source