1414 related articles for article (PubMed ID: 33302948)
1. Predicting hospitalization following psychiatric crisis care using machine learning.
Blankers M; van der Post LFM; Dekker JJM
BMC Med Inform Decis Mak; 2020 Dec; 20(1):332. PubMed ID: 33302948
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data.
Bone C; Simmonds-Buckley M; Thwaites R; Sandford D; Merzhvynska M; Rubel J; Deisenhofer AK; Lutz W; Delgadillo J
Lancet Digit Health; 2021 Apr; 3(4):e231-e240. PubMed ID: 33766287
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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; 31(4):568-578. PubMed ID: 31174185
[TBL] [Abstract][Full Text] [Related]
6. Machine learning applications for the prediction of surgical site infection in neurological operations.
Tunthanathip T; Sae-Heng S; Oearsakul T; Sakarunchai I; Kaewborisutsakul A; Taweesomboonyat C
Neurosurg Focus; 2019 Aug; 47(2):E7. PubMed ID: 31370028
[TBL] [Abstract][Full Text] [Related]
7. Development, Validation, and Evaluation of a Simple Machine Learning Model to Predict Cirrhosis Mortality.
Kanwal F; Taylor TJ; Kramer JR; Cao Y; Smith D; Gifford AL; El-Serag HB; Naik AD; Asch SM
JAMA Netw Open; 2020 Nov; 3(11):e2023780. PubMed ID: 33141161
[TBL] [Abstract][Full Text] [Related]
8. Teaching a Machine to Feel Postoperative Pain: Combining High-Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain.
Tighe PJ; Harle CA; Hurley RW; Aytug H; Boezaart AP; Fillingim RB
Pain Med; 2015 Jul; 16(7):1386-401. PubMed ID: 26031220
[TBL] [Abstract][Full Text] [Related]
9. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
[No Abstract] [Full Text] [Related]
10. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.
Wong A; Young AT; Liang AS; Gonzales R; Douglas VC; Hadley D
JAMA Netw Open; 2018 Aug; 1(4):e181018. PubMed ID: 30646095
[TBL] [Abstract][Full Text] [Related]
11. Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.
Afzali MH; Sunderland M; Stewart S; Masse B; Seguin J; Newton N; Teesson M; Conrod P
Addiction; 2019 Apr; 114(4):662-671. PubMed ID: 30461117
[TBL] [Abstract][Full Text] [Related]
12. Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.
Meng L; Zhu P; Xia K
Front Public Health; 2024; 12():1368217. PubMed ID: 38645446
[TBL] [Abstract][Full Text] [Related]
13. Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Weng SF; Reps J; Kai J; Garibaldi JM; Qureshi N
PLoS One; 2017; 12(4):e0174944. PubMed ID: 28376093
[TBL] [Abstract][Full Text] [Related]
14. Machine learning-based prediction of outcomes of the endoscopic endonasal approach in Cushing disease: is the future coming?
Zoli M; Staartjes VE; Guaraldi F; Friso F; Rustici A; Asioli S; Sollini G; Pasquini E; Regli L; Serra C; Mazzatenta D
Neurosurg Focus; 2020 Jun; 48(6):E5. PubMed ID: 32480364
[TBL] [Abstract][Full Text] [Related]
15. Use of machine learning to predict early biochemical recurrence after robot-assisted prostatectomy.
Wong NC; Lam C; Patterson L; Shayegan B
BJU Int; 2019 Jan; 123(1):51-57. PubMed ID: 29969172
[TBL] [Abstract][Full Text] [Related]
16. Logistic regression was as good as machine learning for predicting major chronic diseases.
Nusinovici S; Tham YC; Chak Yan MY; Wei Ting DS; Li J; Sabanayagam C; Wong TY; Cheng CY
J Clin Epidemiol; 2020 Jun; 122():56-69. PubMed ID: 32169597
[TBL] [Abstract][Full Text] [Related]
17. A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
Dinh A; Miertschin S; Young A; Mohanty SD
BMC Med Inform Decis Mak; 2019 Nov; 19(1):211. PubMed ID: 31694707
[TBL] [Abstract][Full Text] [Related]
18. A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.
Patel SJ; Chamberlain DB; Chamberlain JM
Acad Emerg Med; 2018 Dec; 25(12):1463-1470. PubMed ID: 30382605
[TBL] [Abstract][Full Text] [Related]
19. Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.
Siccoli A; de Wispelaere MP; Schröder ML; Staartjes VE
Neurosurg Focus; 2019 May; 46(5):E5. PubMed ID: 31042660
[TBL] [Abstract][Full Text] [Related]
20. Prediction of eating disorder treatment response trajectories via machine learning does not improve performance versus a simpler regression approach.
Espel-Huynh H; Zhang F; Thomas JG; Boswell JF; Thompson-Brenner H; Juarascio AS; Lowe MR
Int J Eat Disord; 2021 Jul; 54(7):1250-1259. PubMed ID: 33811362
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
