Results 41 to 50 of about 32,796 (305)
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcome measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semistructured interviews ...
Catherine Nasrallah +13 more
wiley +1 more source
There has been significant growth post-2000 in consumer credit within transition economies. Credit scoring, established within Western institutions, has the potential to be used to assess consumer creditworthiness here. This paper presents challenges and
Harvey, Jackie +2 more
core +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
BioSenSRRF is an open‐source workflow that combines conventional FRET biosensors with SRRF reconstruction to generate sub‐diffraction FRET index maps on standard microscopes. The pipeline integrates automated image registration, SRRF reconstruction, quantitative FRET index calculation, and random line‐based hotspot analysis to uncover AURKA‐dependent ...
Nicolas Y. Jolivet +5 more
wiley +1 more source
A Comparison between Logit Model and Classification Regression Trees (CART) in Customer Credit Scoring Systems [PDF]
With the continuous development and changes in the credit industry, credit products play a more important role in the economy. This has led institutions to expand the role of technology in their credit management processes.
gholam reza . Keshavarz Haddad +1 more
doaj
Development of Credit Scoring Model to Determine the Creditworthiness of Borrowers
The explosive growth of data in banking sector is common phenomena. It is due to early adaptation of information system by Banks. This vast volume of historical data related to financial position of individuals and organizations compel banks to evaluate
Amjad Ali, Muhammad Rafi
doaj +1 more source
Modelling customers credit card behaviour using bidirectional LSTM neural networks
With the rapid growth of consumer credit and the huge amount of financial data developing effective credit scoring models is very crucial. Researchers have developed complex credit scoring models using statistical and artificial intelligence (AI ...
Maher Ala’raj +2 more
doaj +1 more source
Information asset analysis: credit scoring and credit suggestion [PDF]
Risk assessment is important for financial institutions, especially in loan applications. Some have already implemented their own credit-scoring mechanisms to evaluate their clients' risk and make decisions based on this indicator. In fact, the data gathered by financial institutions is a valuable source of information to create information assets ...
Fábio Silva 0003, Cesar Analide
openaire +2 more sources
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang +8 more
wiley +1 more source
Credit scoring:basic theory and applications
Credit scoring is the foundation of market transactions all over the world.Big data analysis based credit scoring plays an immeasurable role in global economics.In the 13th Five-Year Plan of China,it has been proposed as strategic developmental goal to ...
Yong SHI, Fan MENG
doaj

