Predatory predictions and the ethics of predictive analytics
Sign Up to like & getrecommendations! Published in 2023 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24743
Abstract: In this paper, I critically examine ethical issues introduced by predictive analytics. I argue firms can have a market incentive to construct deceptively inflated true‐positive outcomes: individuals are over‐categorized as requiring a penalizing treatment and… read more here.
Keywords: ethics predictive; power; predictions ethics; predatory predictions ... See more keywords
Impact of predictive analytics based on continuous cardiorespiratory monitoring in a surgical and trauma intensive care unit
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Clinical Monitoring and Computing"
DOI: 10.1007/s10877-018-0194-4
Abstract: Predictive analytics monitoring, the use of patient data to provide continuous risk estimation of deterioration, is a promising new application of big data analytical techniques to the care of individual patients. We tested the hypothesis… read more here.
Keywords: predictive analytics; continuous cardiorespiratory; cardiorespiratory monitoring; care ... See more keywords
Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC)
Sign Up to like & getrecommendations! Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.08.004
Abstract: Abstract In the big data and Manufacturing 4.0 era, there is a growing interest in using advanced analytical platforms to develop predictive modeling approaches that take advantage of the wealthy of data available. Typically, practitioners… read more here.
Keywords: informed decisions; framework; predictive analytics; analytics comparison ... See more keywords
A crossroads in predictive analytics monitoring for clinical medicine.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of electrocardiology"
DOI: 10.1016/j.jelectrocard.2018.07.023
Abstract: A new goal for medical informatics is to develop robust tools that integrate clinical data on a patient in order to estimate the risk of imminent adverse events. This new field of predictive analytics monitoring… read more here.
Keywords: medicine; clinical medicine; predictive analytics; analytics monitoring ... See more keywords
Healthcare predictive analytics: An overview with a focus on Saudi Arabia.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of infection and public health"
DOI: 10.1016/j.jiph.2018.02.005
Abstract: Despite a newfound wealth of data and information, the healthcare sector is lacking in actionable knowledge. This is largely because healthcare data, though plentiful, tends to be inherently complex and fragmented. Health data analytics, with… read more here.
Keywords: overview focus; predictive analytics; analytics overview; healthcare predictive ... See more keywords
An efficient predictive analytics system for high dimensional big data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2019.09.001
Abstract: Abstract The excessive growth of high dimensional big data has resulted in a greater challenge for data scientists to efficiently obtain valuable knowledge from these data. Traditional data mining techniques are not fit to process… read more here.
Keywords: big data; high dimensional; system; predictive analytics ... See more keywords
Comparing traditional modeling approaches versus predictive analytics methods for predicting multiple sclerosis relapse.
Sign Up to like & getrecommendations! Published in 2022 at "Multiple sclerosis and related disorders"
DOI: 10.1016/j.msard.2021.103330
Abstract: OBJECTIVE This study compared traditional statistical methods to different predictive analytics methods on the endpoint of multiple sclerosis (MS) relapse. STUDY SETTING This is a secondary data analysis on four different MS Centers based on… read more here.
Keywords: analytics methods; study; relapse; predictive analytics ... See more keywords
Predictive Analytics and Modeling Employing Machine Learning Technology: The Next Step in Data Sharing, Analysis, and Individualized Counseling Explored With a Large, Prospective Prenatal Hydronephrosis Database.
Sign Up to like & getrecommendations! Published in 2019 at "Urology"
DOI: 10.1016/j.urology.2018.05.041
Abstract: OBJECTIVE To explore the potential value of utilizing a commercially available cloud-based machine learning platform to predict surgical intervention in infants with prenatal hydronephrosis (HN). MATERIALS AND METHODS A prospective prenatal HN database was uploaded… read more here.
Keywords: machine; prenatal hydronephrosis; machine learning; predictive analytics ... See more keywords
Predictive Analytics through Machine Learning in the clinical settings
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/s0169-2607(17)30552-7
Abstract: h 0 One of the frequently asked questions by informatics students is What is the difference between Machine Learning and Prediction odels?” It is common to misuse and misunderstood the word Machine Learning”. Predictive Analytics… read more here.
Keywords: machine; machine learning; predictive analytics; clinical settings ... See more keywords
A novel predictive analytics score reflecting accumulating disease burden—an investigation of the cumulative CoMET score
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/aca878
Abstract: Objective. Predictive analytics tools variably take into account data from the electronic medical record, lab tests, nursing charted vital signs and continuous cardiorespiratory monitoring to deliver an instantaneous prediction of patient risk or instability. Few,… read more here.
Keywords: comet score; analytics score; patient; cumulative comet ... See more keywords
"How did you get to this number?" Stakeholder needs for implementing predictive analytics: a pre-implementation qualitative study
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocaa021
Abstract: OBJECTIVE Predictive analytics are potentially powerful tools, but to improve healthcare delivery, they must be carefully integrated into healthcare organizations. Our objective was to identify facilitators, challenges, and recommendations for implementing a novel predictive algorithm… read more here.
Keywords: implementation; predictive algorithm; predictive analytics; implementing predictive ... See more keywords