Results 71 to 80 of about 524,719 (351)

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

Early heart disease prediction using feature engineering and machine learning algorithms

Heliyon
Heart disease is one of the most widespread global health issues, it is the reason behind around 32 % of deaths worldwide every year. The early prediction and diagnosis of heart diseases are critical for effective treatment and sickness management ...
Mohammed Amine Bouqentar, O. Terrada, S. Hamida, Shawki Saleh, Driss Lamrani, B. Cherradi, A. Raihani   +6 more
semanticscholar   +1 more source

Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering

Computational Economics, 2022
The emergence of big data, information technology, and social media provides an enormous amount of information about firms’ current financial health. When facing this abundance of data, decision makers must identify the crucial information to build upon ...
S. Ben Jabeur, N. Stef, Pedro Carmona
semanticscholar   +1 more source

Benchmarking automated feature engineering in oxidative coupling of methane and the impact of domain knowledge

Results in Chemistry
In materials informatics, feature engineering is an essential process that improves model accuracy and model interpretability. In this study, efficient methods for feature engineering were investigated. Existing libraries (TPOT, autofeat, Feature-engine,
Jun Maki, Hiromasa Kaneko
doaj   +1 more source

Enriching feature engineering for short text samples by language time series analysis

EPJ Data Science, 2020
In this case study, we are extending feature engineering approaches for short text samples by integrating techniques which have been introduced in the context of time series classification and signal processing.
Yichen Tang, Kelly Blincoe, Andreas W. Kempa-Liehr   +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

A Basis for feature-oriented modelling in Event-B

, 2009
Feature-oriented modelling is a well-known approach for Software Product Line (SPL) development. It is a widely used method when developing groups of related software.
Jennifer Sorge, Sorge, Jennifer, Michael Poppleton, Poppleton, Michael, Butler, Michael, Michael Butler, Poppleton, Mike   +6 more
core   +1 more source

Feature weighting techniques for CBR in software effort estimation studies: A review and empirical evaluation [PDF]

, 2014
Context : Software effort estimation is one of the most important activities in the software development process. Unfortunately, estimates are often substantially wrong. Numerous estimation methods have been proposed including Case-based Reasoning (CBR).
Boyce Sigweni, Sigweni, B, Shepperd, M, Martin Shepperd   +3 more
core   +1 more source

Analyzing Quantum Feature Engineering and Balancing Strategies Effect on Liver Disease Classification

Journal of Future Artificial Intelligence and Technologies
This research aims to improve the accuracy of liver disease classification using Quantum Feature Engineering (QFE) and the Synthetic Minority Over-sampling Tech-nique and Tomek Links (SMOTE-Tomek) data balancing technique.
Achmad Nuruddin Safriandono, D. Setiadi, Akhmad Dahlan, Farah Zakiyah Rahmanti, I. Wibisono, A. Ojugo   +5 more
semanticscholar   +1 more source

Lung and colon cancer classification using medical imaging: a feature engineering approach

Physical and Engineering Sciences in Medicine, 2022
Lung and colon cancers lead to a significant portion of deaths. Their simultaneous occurrence is uncommon, however, in the absence of early diagnosis, the metastasis of cancer cells is very high between these two organs.
Aya Hage Chehade, Nassib Abdallah, J. Marion, M. Oueidat, P. Chauvet   +4 more
semanticscholar   +1 more source