256 related articles for article (PubMed ID: 20169014)
1. Application of multivariate probabilistic (Bayesian) networks to substance use disorder risk stratification and cost estimation.
Weinstein L; Radano TA; Jack T; Kalina P; Eberhardt JS
Perspect Health Inf Manag; 2009 Sep; 6(Fall):1b. PubMed ID: 20169014
[TBL] [Abstract][Full Text] [Related]
2. Medical Costs of Substance Use Disorders in the US Employer-Sponsored Insurance Population.
Li M; Peterson C; Xu L; Mikosz CA; Luo F
JAMA Netw Open; 2023 Jan; 6(1):e2252378. PubMed ID: 36692881
[TBL] [Abstract][Full Text] [Related]
3. Time-dependent estimates of recurrence and survival in colon cancer: clinical decision support system tool development for adjuvant therapy and oncological outcome assessment.
Steele SR; Bilchik A; Johnson EK; Nissan A; Peoples GE; Eberhardt JS; Kalina P; Petersen B; Brücher B; Protic M; Avital I; Stojadinovic A
Am Surg; 2014 May; 80(5):441-53. PubMed ID: 24887722
[TBL] [Abstract][Full Text] [Related]
4. Can We Estimate Short- and Intermediate-term Survival in Patients Undergoing Surgery for Metastatic Bone Disease?
Forsberg JA; Wedin R; Boland PJ; Healey JH
Clin Orthop Relat Res; 2017 Apr; 475(4):1252-1261. PubMed ID: 27909972
[TBL] [Abstract][Full Text] [Related]
5. Can A Multivariate Model for Survival Estimation in Skeletal Metastases (PATHFx) Be Externally Validated Using Japanese Patients?
Ogura K; Gokita T; Shinoda Y; Kawano H; Takagi T; Ae K; Kawai A; Wedin R; Forsberg JA
Clin Orthop Relat Res; 2017 Sep; 475(9):2263-2270. PubMed ID: 28560532
[TBL] [Abstract][Full Text] [Related]
6. Smooth Bayesian network model for the prediction of future high-cost patients with COPD.
Lin S; Zhang Q; Chen F; Luo L; Chen L; Zhang W
Int J Med Inform; 2019 Jun; 126():147-155. PubMed ID: 31029256
[TBL] [Abstract][Full Text] [Related]
7. Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.
Jing Y; Hu Z; Fan P; Xue Y; Wang L; Tarter RE; Kirisci L; Wang J; Vanyukov M; Xie XQ
Drug Alcohol Depend; 2020 Jan; 206():107605. PubMed ID: 31839402
[TBL] [Abstract][Full Text] [Related]
8. The future of Cochrane Neonatal.
Soll RF; Ovelman C; McGuire W
Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
[TBL] [Abstract][Full Text] [Related]
9. PI Prob: A risk prediction and clinical guidance system for evaluating patients with recurrent infections.
Rider NL; Cahill G; Motazedi T; Wei L; Kurian A; Noroski LM; Seeborg FO; Chinn IK; Roberts K
PLoS One; 2021; 16(2):e0237285. PubMed ID: 33591972
[TBL] [Abstract][Full Text] [Related]
10. Development of a clinical decision model for thyroid nodules.
Stojadinovic A; Peoples GE; Libutti SK; Henry LR; Eberhardt J; Howard RS; Gur D; Elster EA; Nissan A
BMC Surg; 2009 Aug; 9():12. PubMed ID: 19664278
[TBL] [Abstract][Full Text] [Related]
11. The Mental Health Parity and Addiction Equity Act evaluation study: Impact on specialty behavioral healthcare utilization and spending among enrollees with substance use disorders.
Friedman S; Xu H; Harwood JM; Azocar F; Hurley B; Ettner SL
J Subst Abuse Treat; 2017 Sep; 80():67-78. PubMed ID: 28755776
[TBL] [Abstract][Full Text] [Related]
12. Assessment of Annual Cost of Substance Use Disorder in US Hospitals.
Peterson C; Li M; Xu L; Mikosz CA; Luo F
JAMA Netw Open; 2021 Mar; 4(3):e210242. PubMed ID: 33666661
[TBL] [Abstract][Full Text] [Related]
13. Cost Savings from a Navigator Intervention for Repeat Detoxification Clients.
Hodgkin D; Brolin MF; Ritter GA; Torres ME; Merrick EL; Horgan CM; Hopwood JC; De Marco N; Gewirtz A
J Ment Health Policy Econ; 2019 Mar; 22(1):3-13. PubMed ID: 30991351
[TBL] [Abstract][Full Text] [Related]
14. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
15. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
[TBL] [Abstract][Full Text] [Related]
16. Improving diagnostic recognition of primary hyperparathyroidism with machine learning.
Somnay YR; Craven M; McCoy KL; Carty SE; Wang TS; Greenberg CC; Schneider DF
Surgery; 2017 Apr; 161(4):1113-1121. PubMed ID: 27989606
[TBL] [Abstract][Full Text] [Related]
17. Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine.
Arora P; Boyne D; Slater JJ; Gupta A; Brenner DR; Druzdzel MJ
Value Health; 2019 Apr; 22(4):439-445. PubMed ID: 30975395
[TBL] [Abstract][Full Text] [Related]
18. Towards precision medicine: Accurate predictive modeling of infectious complications in combat casualties.
Dente CJ; Bradley M; Schobel S; Gaucher B; Buchman T; Kirk AD; Elster E
J Trauma Acute Care Surg; 2017 Oct; 83(4):609-616. PubMed ID: 28538622
[TBL] [Abstract][Full Text] [Related]
19. A hybrid data mining model for diagnosis of patients with clinical suspicion of dementia.
Moreira LB; Namen AA
Comput Methods Programs Biomed; 2018 Oct; 165():139-149. PubMed ID: 30337069
[TBL] [Abstract][Full Text] [Related]
20. 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. PubMed ID: 31472443
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
