Results 41 to 50 of about 60,929 (294)

Predictive data analytics of the relationship between labour market and education

, 2023
For organizations looking to gain valuable insights into their operations and customer base, the use of data has become increasingly important. Organizations have a unique opportunity to use the vast amount of data generated by various sources, such as ...
Ben Lafi, Khouloud
core  

Tufts PACE Clinical Predictive Model Registry: update 1990 through 2015

Diagnostic and Prognostic Research, 2017
Background Clinical predictive models (CPMs) estimate the probability of clinical outcomes and hold the potential to improve decision-making and individualize care.
Benjamin S. Wessler, Jessica Paulus, Christine M. Lundquist, Muhammad Ajlan, Zuhair Natto, William A. Janes, Nitin Jethmalani, Gowri Raman, Jennifer S. Lutz, David M. Kent   +9 more
doaj   +1 more source

Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities

npj Digital Medicine, 2020
The machine learning community has become alert to the ways that predictive algorithms can inadvertently introduce unfairness in decision-making.
Jessica K. Paulus, David M. Kent
doaj   +1 more source

Measurement placement in electric power transmission and distribution grids: Review of concepts, methods, and research needs

IET Generation, Transmission & Distribution, 2022
Sensing and measurement systems are quintessential to the safe and reliable operation of electric power grids. Their strategic placement is of ultimate importance because it is not economically viable to install measurement systems on every node and ...
Marcos Netto, Venkat Krishnan, Yingchen Zhang, Lamine Mili   +3 more
doaj   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +1 more source

Claudin‐6 Protein Expression in Atypical Teratoid/Rhabdoid Tumors Is Strongly Enriched in the Molecular Subgroup AT/RT‐TYR

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke, Christian Thomas, Michael C. Frühwald, Pascal D. Johann, Martin Hasselblatt   +4 more
wiley   +1 more source

Predictive Analytics and Predictive Modeling in Healthcare

, 2019
Predictive analytics looks forward trying to divine unknown future trials or actions based on data mining, statistics, modeling, deep learning and artificial intelligence, and machine learning.
Sourav Mukherjee (6418955)
core   +1 more source

Machine Learning-Driven Predictive Analytics for Real-Time Supply Chain Risk Management

Proceedings of the International Conference on Applied Innovations in IT
A resilient and efficient supply chain requires real-time risk management in an increasingly volatile global marketplace. This study examines a supply chain risk management system based on machine learning-driven prediction analytics.
Nagham Ja’far Hussein, Abdulhussein Mansoor Ali   +1 more
doaj   +1 more source

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook, Veerain Gupta, Nicholas J. Clark, Vijay Rings, Lauren E. Corona, Douglass B. Clayton, Daniel J. Benedetti   +6 more
wiley   +1 more source

Knowledge Management and Predictive Analytics in IT Project Risks

, 2018
Knowledge management and predictive analytics are considered to be unusual partners in today's technology. However, they can be very good tools that would solve current problems in valuing data.
Noor Zuhaili Binti Mohd Yasin, Subashini A/P Ganapathy, Knowledge management and predictive analytics are considered to be unusual partners in today's technology. However, they can be very good tools that would solve current problems in valuing data. Predictive analytics has now become one of the forecasting tools that is of huge help in information management. Its application in IT project development risk management is very important, where a lot of raw data is involved with risk analysis and prediction. The use of IT project risk management as supported by knowledge management KM will help increase the success rate of IT projects. Knowledge management will bring about additional value to the data needed. This paper presents the usage of KM and predictive analytics to increase the success ratings of projects by predicting the risks that might happen during project development. It explores how KM and predictive analytics can identify risks in IT project development and give recommendations in evaluating the risks that could affect successful completion of IT proj, Mia Torres-Dela Cruz   +3 more
core   +1 more source