Results 51 to 60 of about 9,019,139 (162)

Left ventricular function improvement during angiotensin receptor–neprilysin inhibitor treatment in a cohort of HFrEF/HFmrEF patients

ESC Heart Failure, Volume 12, Issue 2, Page 1151-1165, April 2025.
Prediction of LVEF improvement in patients with HFrEF and HFmrEF following treatment with Sacubitril/Valsartan. Workflow of this study investigating the functional capacity improvement in response to Sacubitrail/Valsartsan in a real‐world scenario of heart failure treatment.
Florian Appenzeller, Tobias Harm, Manuel Sigle, Parwez Aidery, Klaus‐Peter Kreisselmeier, Livia Baas, Andreas Goldschmied, Meinrad Paul Gawaz, Karin Anne Lydia Müller   +8 more
wiley   +1 more source

Comparison of K-Means and K-Medoids Algorithms for Clustering Poverty Data in South Sumatra Using DBI Evaluation

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
This research focuses on the implementation and comparison of the K-Means and K-Medoids algorithms that function as poverty data clustering in South Sumatra Province, the poverty data is taken from the Central Statistics Agency of Indonesia (BPS ...
M. Dandi Akhda, Ken Ditha Tania
doaj   +1 more source

Comparison of K-Medoids and K-Means Algorithms in Segmenting Customers based on RFM Criteria [PDF]

E3S Web of Conferences
The company’s approach to customers is important to maintain the company’s profits. Understanding the differences of each customer is very important so that we can understand customer needs based on customer data.
Fitrianti Fahrudin Nur, Rindiyani Rini
doaj   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Estimation Accuracy Obviously Increased of Soil Organic Carbon Content Based on Habitat Patches Scale Using Interpretable Machine Learning in Southwest China

Land Degradation &Development, EarlyView.
ABSTRACT Although machine learning models have been successfully applied to estimate soil organic carbon (SOC), the lack of interpretability research has resulted in the absence of mechanistic explanations for these models. Therefore, in this study, we adopted the following workflow: first, we divided the whole study area into several subregions using ...
Wei Zhou, Jieyun Xiao, Haotian Liu, Lu Xu, Keming Wang   +4 more
wiley   +1 more source

Comparative Study between Parallel K-Means and Parallel K-Medoids with Message Passing Interface (MPI)

, 2017
<p>Data mining is a combination technology for analyze a useful information from dataset using some technique such as classification, clustering, and etc. Clustering is one of the most used data mining technique these day.
Fhira Nhita
core   +1 more source

MACOC: a medoid-based ACO clustering algorithm [PDF]

, 2014
The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B., David Camacho, Héctor D. Menéndez, Otero, Fernando E.B., Camacho, David, Menendez, Hector, Menéndez, Héctor D., Fernando E. B. Otero   +7 more
core   +1 more source

Joint Risk Factor Combinations with Additive Interaction Increase the Risk of Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Combined effects of multiple risk factors on incident late‐onset Parkinson's disease (PD; LOPD) remain poorly characterized. Objective The objective of this study was to quantify the impact of joint risk exposures and estimate the contribution of potentially modifiable factors to incident LOPD risk.
Andrea Quattrone, Basilio Vescio, Fulvia Arcuri, Giuseppe Chiarella, Jolanda Buonocore, Aldo Quattrone   +5 more
wiley   +1 more source

Visualisasi Segmentasi Pelanggan Berdasarkan Atribut RFM Menggunakan Algoritma K-Means Untuk Memahami Karakteristik Pelanggan pada Toko Retail Online

Jurnal Teknologi Informasi dan Ilmu Komputer
Meningkatnya minat belanja pelanggan toko retail online menimbulkan persaingan ketat antar retailer. Agar tetap unggul dan kompetitif, retailer perlu memahami karakteristik pelanggannya.
Dennis Alfa Imanuel, Ganjar Alfian
doaj   +3 more sources

Integrating and assessing metacommunity drivers of ecosystem function and resilience in benthic algal systems

Oikos, EarlyView.
Understanding the scales and mechanisms by which species composition interacts with ecosystem functions is critical for forecasting the effects of environmental perturbations on ecosystem services. However, the linkages between what regulates the ecosystem functions of dispersal‐capable networks of communities (metacommunities) and what regulates a ...
Thomas P. Shannon, Evelyn E. Gaiser
wiley   +1 more source