680 related articles for article (PubMed ID: 29698784)
1. Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report.
Kim DW; Kim H; Nam W; Kim HJ; Cha IH
Bone; 2018 Nov; 116():207-214. PubMed ID: 29698784
[TBL] [Abstract][Full Text] [Related]
2. Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.
Li W; Huang Y; Zhuang BW; Liu GJ; Hu HT; Li X; Liang JY; Wang Z; Huang XW; Zhang CQ; Ruan SM; Xie XY; Kuang M; Lu MD; Chen LD; Wang W
Eur Radiol; 2019 Mar; 29(3):1496-1506. PubMed ID: 30178143
[TBL] [Abstract][Full Text] [Related]
3. Emergency department triage prediction of clinical outcomes using machine learning models.
Raita Y; Goto T; Faridi MK; Brown DFM; Camargo CA; Hasegawa K
Crit Care; 2019 Feb; 23(1):64. PubMed ID: 30795786
[TBL] [Abstract][Full Text] [Related]
4. Chronic stress in practice assistants: An analytic approach comparing four machine learning classifiers with a standard logistic regression model.
Bozorgmehr A; Thielmann A; Weltermann B
PLoS One; 2021; 16(5):e0250842. PubMed ID: 33945572
[TBL] [Abstract][Full Text] [Related]
5. Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods.
Yahya N; Ebert MA; Bulsara M; House MJ; Kennedy A; Joseph DJ; Denham JW
Med Phys; 2016 May; 43(5):2040. PubMed ID: 27147316
[TBL] [Abstract][Full Text] [Related]
6. Prediction models for early diagnosis of actinomycotic osteomyelitis of the jaw using machine learning techniques: a preliminary study.
Choi SG; Lee EY; Lee OJ; Kim S; Kang JY; Lim JS
BMC Oral Health; 2022 May; 22(1):164. PubMed ID: 35524204
[TBL] [Abstract][Full Text] [Related]
7. Machine Learning Approaches for Predicting Bisphosphonate-Related Osteonecrosis in Women with Osteoporosis Using
Kim JW; Yee J; Oh SH; Kim SH; Kim SJ; Chung JE; Gwak HS
J Pers Med; 2021 Jun; 11(6):. PubMed ID: 34200782
[TBL] [Abstract][Full Text] [Related]
8. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.
Churpek MM; Yuen TC; Winslow C; Meltzer DO; Kattan MW; Edelson DP
Crit Care Med; 2016 Feb; 44(2):368-74. PubMed ID: 26771782
[TBL] [Abstract][Full Text] [Related]
9. Dental extraction as a risk factor for bisphosphonate related osteonecrosis of the jaw in cancer patients: an update.
Utreja A; Almas K; Javed F
Odontostomatol Trop; 2013 Jun; 36(142):38-46. PubMed ID: 24073539
[TBL] [Abstract][Full Text] [Related]
10. Fetal health status prediction based on maternal clinical history using machine learning techniques.
Akbulut A; Ertugrul E; Topcu V
Comput Methods Programs Biomed; 2018 Sep; 163():87-100. PubMed ID: 30119860
[TBL] [Abstract][Full Text] [Related]
11. Long-term oral bisphosphonates delay healing after tooth extraction: a single institutional prospective study.
Shudo A; Kishimoto H; Takaoka K; Noguchi K
Osteoporos Int; 2018 Oct; 29(10):2315-2321. PubMed ID: 29967931
[TBL] [Abstract][Full Text] [Related]
12. Osteoporosis risk prediction using machine learning and conventional methods.
Kim SK; Yoo TK; Oh E; Kim DW
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():188-91. PubMed ID: 24109656
[TBL] [Abstract][Full Text] [Related]
13. Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth.
Akazawa M; Hashimoto K; Katsuhiko N; Kaname Y
Sci Rep; 2021 Nov; 11(1):22620. PubMed ID: 34799687
[TBL] [Abstract][Full Text] [Related]
14. Prediction of medication-related osteonecrosis of the jaw (MRONJ) using automated machine learning in patients with osteoporosis associated with dental extraction and implantation: a retrospective study.
Kwack DW; Park SM
J Korean Assoc Oral Maxillofac Surg; 2023 Jun; 49(3):135-141. PubMed ID: 37394932
[TBL] [Abstract][Full Text] [Related]
15. Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).
Beunza JJ; Puertas E; García-Ovejero E; Villalba G; Condes E; Koleva G; Hurtado C; Landecho MF
J Biomed Inform; 2019 Sep; 97():103257. PubMed ID: 31374261
[TBL] [Abstract][Full Text] [Related]
16. Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.
Rau CS; Kuo PJ; Chien PC; Huang CY; Hsieh HY; Hsieh CH
PLoS One; 2018; 13(11):e0207192. PubMed ID: 30412613
[TBL] [Abstract][Full Text] [Related]
17. [A case of bisphosphonate-related osteonecrosis of the jaw in a patient who had received intravenous bisphosphonates].
Ishikawa T
Gan To Kagaku Ryoho; 2014 Feb; 41(2):225-7. PubMed ID: 24743202
[TBL] [Abstract][Full Text] [Related]
18. Machine learning analyses can differentiate meningioma grade by features on magnetic resonance imaging.
Hale AT; Stonko DP; Wang L; Strother MK; Chambless LB
Neurosurg Focus; 2018 Nov; 45(5):E4. PubMed ID: 30453458
[TBL] [Abstract][Full Text] [Related]
19. The national-scale cohort study on bisphosphonate-related osteonecrosis of the jaw in Taiwan.
Yuh DY; Chang TH; Huang RY; Chien WC; Lin FG; Fu E
J Dent; 2014 Oct; 42(10):1343-52. PubMed ID: 24907558
[TBL] [Abstract][Full Text] [Related]
20. Predicting post-stroke pneumonia using deep neural network approaches.
Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]