Results 61 to 70 of about 1,151,147 (311)

A list of all 64 variables used in the features selection along with the best features of size 15 and 20 for each of the four target attributes.

, 2023
A list of all 64 variables used in the features selection along with the best features of size 15 and 20 for each of the four target attributes.
Trevor Auten (14492821), Prashant Sanjel (14492824), John Matta (5700236), Virender Singh (1911799)   +3 more
core   +1 more source

A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction

Big Data and Cognitive Computing
Hospital overcrowding, driven by both structural management challenges and widespread medical emergencies, has prompted extensive research into machine learning (ML) solutions for predicting patient length of stay (LOS) to optimize bed allocation.
Anna Annunziata, Salvatore Cappabianca, Salvatore Capuozzo, Nicola Coppola, Camilla Di Somma, Ludovico Docimo, Giuseppe Fiorentino, Michela Gravina, Lidia Marassi, Stefano Marrone, Domenico Parmeggiani, Giorgio Emanuele Polistina, Alfonso Reginelli, Caterina Sagnelli, Carlo Sansone   +14 more
doaj   +1 more source

JAA IDS - FRAMEWORK DESIGN FOR AN EFFICIENT INTRUSION DETECTION SYSTEM

ICTACT Journal on Communication Technology, 2021
Network security has become a very hot research area as its importance is heavily realized in various fields. Various mechanisms and tools are available to support this. But they do not meet the challenges imposed by fast growing technologies.
C Amali Pushpam, J Gnana Jayanthi
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

Characterisation of black skin stratum corneum by digital macroscopic images analysis

Healthcare Technology Letters, 2020
Black skin medical images generally show very low contrast. Being in a global initiative of characterisation of black skin horny layer (stratum corneum) by digital images analysis, the authors in this study proposed a four-step approach.
Géraud M. Azehoun-Pazou, Kokou M. Assogba, Hugues Adegbidi, Antoine C. Vianou   +3 more
doaj   +1 more source

Safety of Daprodustat for the Treatment of Chronic Kidney Disease Anemia: Final Analysis of a Multicenter Postmarketing Surveillance Study in Japan

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa, Kyomi Kanaya, Kiyomi Aizawa, Masanori Onoki, Hirofumi Ozeki, Kazuko Suzuki, Ai Hayashi, Tomohiko Asamura   +7 more
wiley   +1 more source

Optimal features selection for designing a fault diagnosis system

, 2016
Fault diagnosis (FD) using data-driven methods is essential for monitoring complex process systems, but its performance is severely affected by the quality of the used information.
Antonio Espuña, Shokry, Ahmed, Moisès Graells, Escudero Bakx, Gerard, Ahmed Shokry, Shokry Abdelaleem Taha Zied, Ahmed, Mohammadhamed Ardakani, Ardakani, Mohammadhamed, Mahdieh Askarian, Askarian, Mahdieh, Espuña Camarasa, Antonio, Gerard Escudero, Graells Sobré, Moisès   +12 more
core   +1 more source

Semantic-Based Building Extraction from LiDAR Point Clouds Using Contexts and Optimization in Complex Environment

Sensors, 2020
The extraction of buildings has been an essential part of the field of LiDAR point clouds processing in recent years. However, it is still challenging to extract buildings from huge amount of point clouds due to the complicated and incomplete structures,
Yongjun Wang, Tengping Jiang, Min Yu, Shuaibing Tao, Jian Sun, Shan Liu   +5 more
doaj   +1 more source

Feature Selection in Texts

, 2017
Feature selection is used in many application areas relevant to expert and intelligent systems, such as machine learning, data mining, cheminformatics and natural language processing. In this study we propose methods for feature selection and features analysis based on Support Vector Machines (SVM) with linear kernels.
openaire   +2 more sources

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source