Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2009 1
2013 2
2014 1
2015 1
2016 2
2017 5
2018 5
2019 8
2020 7
Text availability
Article attribute
Article type
Publication date

Search Results

32 results
Results by year

Citations

1 article found by citation matching

Search results

Filters applied: . Clear all
Page 1
Calibrating random forests for probability estimation.
Dankowski T, Ziegler A. Dankowski T, et al. Stat Med. 2016 Sep 30;35(22):3949-60. doi: 10.1002/sim.6959. Epub 2016 Apr 13. Stat Med. 2016. PMID: 27074747 Free PMC article.
Probabilities can be consistently estimated using random forests. It is, however, unclear how random forests should be updated to make predictions for other centers or at different time points. In this work, we present two approaches for
Probabilities can be consistently estimated using random forests. It is, however, unclear how random f
An independently validated nomogram for individualized estimation of survival among patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825.
Gittleman H, Lim D, Kattan MW, Chakravarti A, Gilbert MR, Lassman AB, Lo SS, Machtay M, Sloan AE, Sulman EP, Tian D, Vogelbaum MA, Wang TJC, Penas-Prado M, Youssef E, Blumenthal DT, Zhang P, Mehta MP, Barnholtz-Sloan JS. Gittleman H, et al. Neuro Oncol. 2017 May 1;19(5):669-677. doi: 10.1093/neuonc/now208. Neuro Oncol. 2017. PMID: 28453749 Free PMC article.
Nomograms are often used for individualized estimation of prognosis. This study aimed to build and independently validate a nomogram to estimate individualized survival probabilities for patients with newly diagnosed GBM, using data from 2 independent NRG Onc …
Nomograms are often used for individualized estimation of prognosis. This study aimed to build and independently validate a nomogram …
ABC random forests for Bayesian parameter inference.
Raynal L, Marin JM, Pudlo P, Ribatet M, Robert CP, Estoup A. Raynal L, et al. Bioinformatics. 2019 May 15;35(10):1720-1728. doi: 10.1093/bioinformatics/bty867. Bioinformatics. 2019. PMID: 30321307
The approach relies on the random forest (RF) methodology of Breiman (2001) applied in a (non-parametric) regression setting. ...When compared with earlier ABC solutions, this method offers significant gains in terms of robustness to the choice of the summary statis …
The approach relies on the random forest (RF) methodology of Breiman (2001) applied in a (non-parametric) regression setting. …
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM, Dankers FJWM, Valdes G, Wijsman R, Hsu IC, Oberije C, Lustberg T, van Soest J, Hoebers F, Jochems A, El Naqa I, Wee L, Morin O, Raleigh DR, Bots W, Kaanders JH, Belderbos J, Kwint M, Solberg T, Monshouwer R, Bussink J, Dekker A, Lambin P. Deist TM, et al. Med Phys. 2018 Jul;45(7):3449-3459. doi: 10.1002/mp.12967. Epub 2018 Jun 13. Med Phys. 2018. PMID: 29763967 Free PMC article.
General Machine learning literature provides evidence in favor of some classifier families (random forest, support vector machine, gradient boosting) in terms of classification performance. ...Performance metrics (AUC, calibration slope and intercept, accurac …
General Machine learning literature provides evidence in favor of some classifier families (random forest, support vector mach …
An independently validated nomogram for isocitrate dehydrogenase-wild-type glioblastoma patient survival.
Gittleman H, Cioffi G, Chunduru P, Molinaro AM, Berger MS, Sloan AE, Barnholtz-Sloan JS. Gittleman H, et al. Version 2. Neurooncol Adv. 2019 May-Dec;1(1):vdz007. doi: 10.1093/noajnl/vdz007. Epub 2019 May 30. Neurooncol Adv. 2019. PMID: 31608326 Free PMC article.
Nomograms are useful tools for individualized estimation of survival. This study aimed to develop and independently validate a nomogram for IDH-wild-type patients with newly diagnosed GBM. ...Survival was assessed using Cox proportional hazards regression, random su …
Nomograms are useful tools for individualized estimation of survival. This study aimed to develop and independently validate a nomogr …
Calibrating an individual-based movement model to predict functional connectivity for little owls.
Hauenstein S, Fattebert J, Grüebler MU, Naef-Daenzer B, Pe'er G, Hartig F. Hauenstein S, et al. Ecol Appl. 2019 Jun;29(4):e01873. doi: 10.1002/eap.1873. Epub 2019 Mar 22. Ecol Appl. 2019. PMID: 30756457
We then include the estimated parameters in a spatially explicit individual-based model (IBM) of little owl dispersal and calibrate further movement parameters using ABC. To derive efficient summary statistics, we use a new dimension reduction method based on ran
We then include the estimated parameters in a spatially explicit individual-based model (IBM) of little owl dispersal and calibrat
Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows.
El Jabri M, Sanchez MP, Trossat P, Laithier C, Wolf V, Grosperrin P, Beuvier E, Rolet-Répécaud O, Gavoye S, Gaüzère Y, Belysheva O, Notz E, Boichard D, Delacroix-Buchet A. El Jabri M, et al. J Dairy Sci. 2019 Aug;102(8):6943-6958. doi: 10.3168/jds.2019-16320. Epub 2019 Jun 6. J Dairy Sci. 2019. PMID: 31178172
Prediction models were built on 446 informative wavelengths not tainted by the water absorbance, using different approaches such as partial least squares (PLS), uninformative variable elimination PLS, random forest PLS, Bayes A, Bayes B, Bayes C, and Bayes RR. ...Fi …
Prediction models were built on 446 informative wavelengths not tainted by the water absorbance, using different approaches such as partial …
Calibration drift in regression and machine learning models for acute kidney injury.
Davis SE, Lasko TA, Chen G, Siew ED, Matheny ME. Davis SE, et al. J Am Med Inform Assoc. 2017 Nov 1;24(6):1052-1061. doi: 10.1093/jamia/ocx030. J Am Med Inform Assoc. 2017. PMID: 28379439 Free PMC article.
Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the influence of modeling methods on performance drift and connected observed drift with data shifts in the patient population. ...Calibration
Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the inf …
Prognostic Scoring Models for Patients Undergoing Sorafenib Treatment for Advanced Stage Hepatocellular Carcinoma in Real-Life Practice.
Choi GH, Han S, Shim JH, Ryu MH, Ryoo BY, Kang YK, Kim KM, Lim YS, Lee HC. Choi GH, et al. Am J Clin Oncol. 2017 Apr;40(2):167-174. doi: 10.1097/COC.0000000000000132. Am J Clin Oncol. 2017. PMID: 25268070
Clinical parameters included in the models were based on importance variable scores generated by a random forest approach and bootstrap resampling. The model's accuracy was internally and externally assessed using the time-dependent C-index of discrimination …
Clinical parameters included in the models were based on importance variable scores generated by a random forest approach and …
A comparison of machine learning and logistic regression in modelling the association of body condition score and submission rate.
Bates AJ, Saldias B. Bates AJ, et al. Prev Vet Med. 2019 Nov 1;171:104765. doi: 10.1016/j.prevetmed.2019.104765. Epub 2019 Aug 31. Prev Vet Med. 2019. PMID: 31499454
This study was designed to compare the ability of a range of machine learning techniques in estimating the probability of service within 21 days of the planned start of mating. ...This data was used to predict probability of service within 21 days of planned …
This study was designed to compare the ability of a range of machine learning techniques in estimating the probability of serv …
32 results
Jump to page
Feedback