Results 11 to 20 of about 8,729,244 (299)
Software Quality Prediction Models Compared
, 2010 Numerous empirical studies confirm that many software metrics aggregated in software quality prediction models are valid predictors for qualities of general interest like maintainability and correctness.
Gutzmann, Tobias, +2 more
core +9 more sources
Collective suffix tree-based models for location prediction [PDF]
, 2013 Models developed for the prediction of location, where a specific individual will be present at a future time, are typically implemented using a one-model-per-user approach which cannot be employed for inferring collective or social behaviours involving ...
Eldaw, Muawya Habib Sarnoub +2 more
core +8 more sources
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review. [PDF]
, 2022 BACKGROUND: Describe and evaluate the methodological conduct of prognostic prediction models developed using machine learning methods in oncology. METHODS: We conducted a systematic review in MEDLINE and Embase between 01/01/2019 and 05/09/2019, for ...
core +1 more source
Bootstrap prediction intervals in State Space models [PDF]
, 2008 Prediction intervals in State Space models can be obtained by assuming Gaussian innovations and using the prediction equations of the Kalman filter, where the true parameters are substituted by consistent estimates.
Ruiz Ortega, Esther +1 more
core +2 more sources
Prediction Constrained Topic Models [PDF]
, 2020 <p>Open source software for training and evaluating prediction-constrained topic models, and comparing these to baseline classification methods (such as logistic regression or ensembles of decision trees).</p> <p>Available on Github ...
Hughes, Michael C.
core +1 more source
Clinical prediction models [PDF]
British Journal of Surgery, 2016 Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).
Ranstam, J, Cook, J, Collins, G
openaire +3 more sources
Trends in Clinical Prediction Models of Stroke Outcomes Research: A Bibliometric Analysis
ASM Science Journal, 2021 Stroke is one of the leading causes of death and disability globally. Clinical models have been reported to predict stroke outcomes and thus, potentially guide clinical decisions.
Mustapha Mohammed +7 more
doaj +1 more source
Prediction models in urology [PDF]
Nature Clinical Practice Urology, 2007 Predicting risk is an inherent feature of clinical practice. How likely is a man with a given PSA level to have prostate cancer? Can lymph node dissection be safely avoided in a patient with testicular cancer? Should chemotherapy be given after cystectomy for bladder cancer?
openaire +2 more sources
Calibration: the Achilles heel of predictive analytics
BMC Medicine, 2019 Background The assessment of calibration performance of risk prediction models based on regression or more flexible machine learning algorithms receives little attention.
Ben Van Calster +5 more
doaj +1 more source
Journal of Dairy Science, 2022 : Quantifying dry matter intake (DMI) in lactating dairy cows is important for determining feed efficiency; however, there are no methods for economically quantifying individual cow DMI on dairy farms where cows are group-fed.
W.E. Brown +6 more
doaj +1 more source