259 related articles for article (PubMed ID: 30239321)
1. Machine learning ensemble models predict total charges and drivers of cost for transsphenoidal surgery for pituitary tumor.
Muhlestein WE; Akagi DS; McManus AR; Chambless LB
J Neurosurg; 2018 Sep; 131(2):507-516. PubMed ID: 30239321
[TBL] [Abstract][Full Text] [Related]
2. Demographic factors, outcomes, and patient access to transsphenoidal surgery for Cushing's disease: analysis of the Nationwide Inpatient Sample from 2002 to 2010.
Wilson D; Jin DL; Wen T; Carmichael JD; Cen S; Mack WJ; Zada G
Neurosurg Focus; 2015 Feb; 38(2):E2. PubMed ID: 25639320
[TBL] [Abstract][Full Text] [Related]
3. Predicting Inpatient Length of Stay After Brain Tumor Surgery: Developing Machine Learning Ensembles to Improve Predictive Performance.
Muhlestein WE; Akagi DS; Davies JM; Chambless LB
Neurosurgery; 2019 Sep; 85(3):384-393. PubMed ID: 30113665
[TBL] [Abstract][Full Text] [Related]
4. National treatment trends, complications, and predictors of in-hospital charges for the surgical management of craniopharyngiomas in adults from 2007 to 2011.
Zaidi HA; Chapple K; Little AS
Neurosurg Focus; 2014 Nov; 37(5):E6. PubMed ID: 25363434
[TBL] [Abstract][Full Text] [Related]
5. A machine learning approach to predict early outcomes after pituitary adenoma surgery.
Hollon TC; Parikh A; Pandian B; Tarpeh J; Orringer DA; Barkan AL; McKean EL; Sullivan SE
Neurosurg Focus; 2018 Nov; 45(5):E8. PubMed ID: 30453460
[TBL] [Abstract][Full Text] [Related]
6. Risk factors associated with the surgical management of craniopharyngiomas in pediatric patients: analysis of 1961 patients from a national registry database.
Bakhsheshian J; Jin DL; Chang KE; Strickland BA; Donoho DA; Cen S; Mack WJ; Attenello F; Christian EA; Zada G
Neurosurg Focus; 2016 Dec; 41(6):E8. PubMed ID: 27903117
[TBL] [Abstract][Full Text] [Related]
7. Comparative inpatient resource utilization for patients undergoing endoscopic or microscopic transsphenoidal surgery for pituitary lesions.
Little AS; Chapple K; Jahnke H; White WL
J Neurosurg; 2014 Jul; 121(1):84-90. PubMed ID: 24724857
[TBL] [Abstract][Full Text] [Related]
8. National trends, complications, and outcomes following transsphenoidal surgery for Cushing's disease from 1993 to 2002.
Patil CG; Lad SP; Harsh GR; Laws ER; Boakye M
Neurosurg Focus; 2007; 23(3):E7. PubMed ID: 17961019
[TBL] [Abstract][Full Text] [Related]
9. Nationwide analysis of unplanned 30-day readmissions after transsphenoidal pituitary surgery.
Rizvi ZH; Ferrandino R; Luu Q; Suh JD; Wang MB
Int Forum Allergy Rhinol; 2019 Mar; 9(3):322-329. PubMed ID: 30468005
[TBL] [Abstract][Full Text] [Related]
10. Characterization of transsphenoidal complications in patients with acromegaly: an analysis of inpatient data in the United States from 2002 to 2010.
Raikundalia MD; Pines MJ; Svider PF; Baredes S; Folbe AJ; Liu JK; Eloy JA
Int Forum Allergy Rhinol; 2015 May; 5(5):417-22. PubMed ID: 25740103
[TBL] [Abstract][Full Text] [Related]
11. Duration of Care and Operative Time Are the Primary Drivers of Total Charges After Ambulatory Hip Arthroscopy: A Machine Learning Analysis.
Lu Y; Lavoie-Gagne O; Forlenza EM; Pareek A; Kunze KN; Forsythe B; Levy BA; Krych AJ
Arthroscopy; 2022 Jul; 38(7):2204-2216.e3. PubMed ID: 34921955
[TBL] [Abstract][Full Text] [Related]
12. Assessment of Cost Drivers in Transsphenoidal Approaches for Resection of Pituitary Tumors Using the Value-Driven Outcome Database.
Karsy M; Brock AA; Guan J; Bisson EF; Couldwell WT
World Neurosurg; 2017 Sep; 105():818-823. PubMed ID: 28583451
[TBL] [Abstract][Full Text] [Related]
13. Utility of deep neural networks in predicting gross-total resection after transsphenoidal surgery for pituitary adenoma: a pilot study.
Staartjes VE; Serra C; Muscas G; Maldaner N; Akeret K; van Niftrik CHB; Fierstra J; Holzmann D; Regli L
Neurosurg Focus; 2018 Nov; 45(5):E12. PubMed ID: 30453454
[TBL] [Abstract][Full Text] [Related]
14. Machine learning models predict total charges and drivers of cost for transcatheter aortic valve replacement.
Bansal A; Garg C; Hariri E; Kassis N; Mentias A; Krishnaswamy A; Kapadia SR
Cardiovasc Diagn Ther; 2022 Aug; 12(4):464-474. PubMed ID: 36033228
[TBL] [Abstract][Full Text] [Related]
15. Significant improvement of intractable headache after transsphenoidal surgery in patients with pituitary adenomas; preoperative neuroradiological evaluation and intraoperative intrasellar pressure measurement.
Hayashi Y; Kita D; Iwato M; Fukui I; Oishi M; Tsutsui T; Tachibana O; Nakada M
Pituitary; 2016 Apr; 19(2):175-82. PubMed ID: 26659379
[TBL] [Abstract][Full Text] [Related]
16. A Machine Learning-Based Prediction of Diabetes Insipidus in Patients Undergoing Endoscopic Transsphenoidal Surgery for Pituitary Adenoma.
Hou S; Li X; Meng F; Liu S; Wang Z
World Neurosurg; 2023 Jul; 175():e55-e63. PubMed ID: 36907270
[TBL] [Abstract][Full Text] [Related]
17. Analysis of modifiable and nonmodifiable risk factors in patients undergoing pituitary surgery.
Shahrestani S; Ballatori AM; Chen XT; Ton A; Strickland BA; Brunswick A; Zada G
J Neurosurg; 2020 Jun; 134(6):1816-1823. PubMed ID: 32534499
[TBL] [Abstract][Full Text] [Related]
18. Strategies to reduce readmissions for hyponatremia after transsphenoidal surgery for pituitary adenomas.
Deaver KE; Catel CP; Lillehei KO; Wierman ME; Kerr JM
Endocrine; 2018 Nov; 62(2):333-339. PubMed ID: 29961198
[TBL] [Abstract][Full Text] [Related]
19. Discharge dispositions, complications, and costs of hospitalization in spinal cord tumor surgery: analysis of data from the United States Nationwide Inpatient Sample, 2003-2010.
Sharma M; Sonig A; Ambekar S; Nanda A
J Neurosurg Spine; 2014 Feb; 20(2):125-41. PubMed ID: 24286530
[TBL] [Abstract][Full Text] [Related]
20. Impact of frailty on short-term outcomes in patients undergoing transsphenoidal pituitary surgery.
Asemota AO; Gallia GL
J Neurosurg; 2019 Feb; 132(2):360-370. PubMed ID: 30797214
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
