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Items: 1 to 20 of 98

1.

An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O.

Neurosurgery. 2019 Oct 5. pii: nyz403. doi: 10.1093/neuros/nyz403. [Epub ahead of print]

PMID:
31586211
2.

Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?

Thio QCBS, Karhade AV, Ogink PT, Raskin KA, De Amorim Bernstein K, Lozano Calderon SA, Schwab JH.

Clin Orthop Relat Res. 2018 Oct;476(10):2040-2048. doi: 10.1097/CORR.0000000000000433.

3.

Development of Machine Learning Algorithms for Prediction of 5-Year Spinal Chordoma Survival.

Karhade AV, Thio Q, Ogink P, Kim J, Lozano-Calderon S, Raskin K, Schwab JH.

World Neurosurg. 2018 Nov;119:e842-e847. doi: 10.1016/j.wneu.2018.07.276. Epub 2018 Aug 8.

PMID:
30096498
4.

Development of Machine Learning Algorithms for Prediction of 30-Day Mortality After Surgery for Spinal Metastasis.

Karhade AV, Thio QCBS, Ogink PT, Shah AA, Bono CM, Oh KS, Saylor PJ, Schoenfeld AJ, Shin JH, Harris MB, Schwab JH.

Neurosurgery. 2019 Jul 1;85(1):E83-E91. doi: 10.1093/neuros/nyy469.

PMID:
30476188
5.

The validity of EORTC GBM prognostic calculator on survival of GBM patients in the West of Scotland.

Teo M, Clark B, MacKinnon M, Stewart W, Paul J, St George J.

Br J Neurosurg. 2014 Jun;28(3):356-62. doi: 10.3109/02688697.2013.847171. Epub 2013 Oct 10.

PMID:
24111707
6.

Prediction of lung cancer patient survival via supervised machine learning classification techniques.

Lynch CM, Abdollahi B, Fuqua JD, de Carlo AR, Bartholomai JA, Balgemann RN, van Berkel VH, Frieboes HB.

Int J Med Inform. 2017 Dec;108:1-8. doi: 10.1016/j.ijmedinf.2017.09.013. Epub 2017 Sep 25.

7.

Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.

Thio QCBS, Karhade AV, Ogink PT, Bramer JAM, Ferrone ML, Calderón SL, Raskin KA, Schwab JH.

Clin Orthop Relat Res. 2019 Oct 18. doi: 10.1097/CORR.0000000000000997. [Epub ahead of print]

PMID:
31651589
8.

Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning.

Sanghani P, Ang BT, King NKK, Ren H.

Surg Oncol. 2018 Dec;27(4):709-714. doi: 10.1016/j.suronc.2018.09.002. Epub 2018 Sep 10.

PMID:
30449497
9.

Validation of an online risk calculator for the prediction of anastomotic leak after colon cancer surgery and preliminary exploration of artificial intelligence-based analytics.

Sammour T, Cohen L, Karunatillake AI, Lewis M, Lawrence MJ, Hunter A, Moore JW, Thomas ML.

Tech Coloproctol. 2017 Nov;21(11):869-877. doi: 10.1007/s10151-017-1701-1. Epub 2017 Oct 28.

PMID:
29080956
10.

Development of machine learning algorithms for prediction of mortality in spinal epidural abscess.

Karhade AV, Shah AA, Bono CM, Ferrone ML, Nelson SB, Schoenfeld AJ, Harris MB, Schwab JH.

Spine J. 2019 Jun 27. pii: S1529-9430(19)30841-1. doi: 10.1016/j.spinee.2019.06.024. [Epub ahead of print]

PMID:
31255788
11.

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.

Med Phys. 2018 Jul;45(7):3449-3459. doi: 10.1002/mp.12967. Epub 2018 Jun 13. Erratum in: Med Phys. 2019 Feb;46(2):1080-1087.

12.

The Benefits of Decision Tree to Predict Survival in Patients with Glioblastoma Multiforme with the Use of Clinical and Imaging Features.

Nematollahi M, Jajroudi M, Arbabi F, Azarhomayoun A, Azimifar Z.

Asian J Neurosurg. 2018 Jul-Sep;13(3):697-702. doi: 10.4103/ajns.AJNS_336_16.

13.

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

Taylor RA, Pare JR, Venkatesh AK, Mowafi H, Melnick ER, Fleischman W, Hall MK.

Acad Emerg Med. 2016 Mar;23(3):269-78. doi: 10.1111/acem.12876. Epub 2016 Feb 13.

14.

Can the prognosis of individual patients with glioblastoma be predicted using an online calculator?

Parks C, Heald J, Hall G, Kamaly-Asl I.

Neuro Oncol. 2013 Aug;15(8):1074-8. doi: 10.1093/neuonc/not033. Epub 2013 Mar 29.

15.

Cancer survival classification using integrated data sets and intermediate information.

Kim S, Park T, Kon M.

Artif Intell Med. 2014 Sep;62(1):23-31. doi: 10.1016/j.artmed.2014.06.003. Epub 2014 Jun 21.

PMID:
24997860
16.

Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.

Senanayake S, White N, Graves N, Healy H, Baboolal K, Kularatna S.

Int J Med Inform. 2019 Oct;130:103957. doi: 10.1016/j.ijmedinf.2019.103957. Epub 2019 Aug 24.

PMID:
31472443
17.

Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction.

Zhou M, Chaudhury B, Hall LO, Goldgof DB, Gillies RJ, Gatenby RA.

J Magn Reson Imaging. 2017 Jul;46(1):115-123. doi: 10.1002/jmri.25497. Epub 2016 Sep 28.

PMID:
27678245
18.

Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma.

Yang D, Rao G, Martinez J, Veeraraghavan A, Rao A.

Med Phys. 2015 Nov;42(11):6725-35. doi: 10.1118/1.4934373.

19.

Improve Glioblastoma Multiforme Prognosis Prediction by Using Feature Selection and Multiple Kernel Learning.

Zhang Y, Li A, Peng C, Wang M.

IEEE/ACM Trans Comput Biol Bioinform. 2016 Sep-Oct;13(5):825-835. Epub 2016 Apr 7.

PMID:
27071189
20.

Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry.

Goyal A, Ngufor C, Kerezoudis P, McCutcheon B, Storlie C, Bydon M.

J Neurosurg Spine. 2019 Jun 7:1-11. doi: 10.3171/2019.3.SPINE181367. [Epub ahead of print]

PMID:
31174185

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