153 related articles for article (PubMed ID: 37024858)
1. A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants.
Zou B; Mi X; Stone E; Zou F
BMC Med Inform Decis Mak; 2023 Apr; 23(1):58. PubMed ID: 37024858
[TBL] [Abstract][Full Text] [Related]
2. Comparison of Prediction Rules and Clinician Suspicion for Identifying Children With Clinically Important Brain Injuries After Blunt Head Trauma.
Atabaki SM; Hoyle JD; Schunk JE; Monroe DJ; Alpern ER; Quayle KS; Glass TF; Badawy MK; Miskin M; Schalick WO; Dayan PS; Holmes JF; Kuppermann N
Acad Emerg Med; 2016 May; 23(5):566-75. PubMed ID: 26825755
[TBL] [Abstract][Full Text] [Related]
3. Deep Neural Networks Predict the Need for CT in Pediatric Mild Traumatic Brain Injury: A Corroboration of the PECARN Rule.
Ellethy H; Chandra SS; Nasrallah FA
J Am Coll Radiol; 2022 Jun; 19(6):769-778. PubMed ID: 35381190
[TBL] [Abstract][Full Text] [Related]
4. An interpretable neural network for outcome prediction in traumatic brain injury.
Minoccheri C; Williamson CA; Hemmila M; Ward K; Stein EB; Gryak J; Najarian K
BMC Med Inform Decis Mak; 2022 Aug; 22(1):203. PubMed ID: 35915430
[TBL] [Abstract][Full Text] [Related]
5. The detection of mild traumatic brain injury in paediatrics using artificial neural networks.
Ellethy H; Chandra SS; Nasrallah FA
Comput Biol Med; 2021 Aug; 135():104614. PubMed ID: 34229143
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data.
Jiang X; Xu C
J Clin Med; 2022 Sep; 11(19):. PubMed ID: 36233640
[TBL] [Abstract][Full Text] [Related]
8. Machine learning models predicting undertriage in telephone triage.
Inokuchi R; Iwagami M; Sun Y; Sakamoto A; Tamiya N
Ann Med; 2022 Dec; 54(1):2990-2997. PubMed ID: 36286496
[TBL] [Abstract][Full Text] [Related]
9. Pediatric Emergency Care Applied Research Network (PECARN) prediction rules in identifying high risk children with mild traumatic brain injury.
Nakhjavan-Shahraki B; Yousefifard M; Hajighanbari MJ; Oraii A; Safari S; Hosseini M
Eur J Trauma Emerg Surg; 2017 Dec; 43(6):755-762. PubMed ID: 28643031
[TBL] [Abstract][Full Text] [Related]
10. A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study.
Fang C; Pan Y; Zhao L; Niu Z; Guo Q; Zhao B
J Med Internet Res; 2022 Dec; 24(12):e41819. PubMed ID: 36485032
[TBL] [Abstract][Full Text] [Related]
11. Performance of Two Head Injury Decision Rules Evaluated on an External Cohort of 18,913 Children.
Shavit I; Rimon A; Waisman Y; Borland ML; Phillips N; Kochar A; Cheek JA; Gilhotra Y; Furyk J; Neutze J; Dalziel SR; Lyttle MD; Bressan S; Donath S; Hearps S; Oakley E; Crowe L; Babl FE;
J Surg Res; 2020 Jan; 245():426-433. PubMed ID: 31442746
[TBL] [Abstract][Full Text] [Related]
12. A universal deep learning approach for modeling the flow of patients under different severities.
Jiang S; Chin KS; Tsui KL
Comput Methods Programs Biomed; 2018 Feb; 154():191-203. PubMed ID: 29249343
[TBL] [Abstract][Full Text] [Related]
13. Traumatic Brain Injury in Children: Role of CDRs-PECARN as a Clinical Predictive Resource for Evaluation of Intracranical Lesions and Neuropsychiatric Outcomes.
Ferrara P; Basile MC; Dell'Aquila L; Vena F; Coppo E; Chiaretti A; Verrotti A; Paolini F; Caldarelli M
Pediatr Neurosurg; 2016; 51(5):249-52. PubMed ID: 27193444
[TBL] [Abstract][Full Text] [Related]
14. External Validation of the PECARN Head Trauma Prediction Rules in Japan.
Ide K; Uematsu S; Tetsuhara K; Yoshimura S; Kato T; Kobayashi T
Acad Emerg Med; 2017 Mar; 24(3):308-314. PubMed ID: 27862642
[TBL] [Abstract][Full Text] [Related]
15. Vision Transformer-based Decision Support for Neurosurgical Intervention in Acute Traumatic Brain Injury: Automated Surgical Intervention Support Tool.
Smith CW; Malhotra AK; Hammill C; Beaton D; Harrington EM; He Y; Shakil H; McFarlan A; Jones B; Lin HM; Mathieu F; Nathens AB; Ackery AD; Mok G; Mamdani M; Mathur S; Wilson JR; Moreland R; Colak E; Witiw CD
Radiol Artif Intell; 2024 Mar; 6(2):e230088. PubMed ID: 38197796
[TBL] [Abstract][Full Text] [Related]
16. Clinical Decision Rules for Paediatric Minor Head Injury: Are CT Scans a Necessary Evil?
Thiam DW; Yap SH; Chong SL
Ann Acad Med Singap; 2015 Sep; 44(9):335-41. PubMed ID: 26584662
[TBL] [Abstract][Full Text] [Related]
17. An efficient machine learning framework to identify important clinical features associated with pulmonary embolism.
Zou B; Zou F; Cai J
PLoS One; 2023; 18(9):e0292185. PubMed ID: 37768933
[TBL] [Abstract][Full Text] [Related]
18. Using an artificial neural network to predict traumatic brain injury.
Hale AT; Stonko DP; Lim J; Guillamondegui OD; Shannon CN; Patel MB
J Neurosurg Pediatr; 2018 Nov; 23(2):219-226. PubMed ID: 30485240
[TBL] [Abstract][Full Text] [Related]
19. Pediatric Emergency Care Applied Research Network head injury clinical prediction rules are reliable in practice.
Schonfeld D; Bressan S; Da Dalt L; Henien MN; Winnett JA; Nigrovic LE
Arch Dis Child; 2014 May; 99(5):427-31. PubMed ID: 24431418
[TBL] [Abstract][Full Text] [Related]
20. Compliance with PECARN head injury decision rules in children under two years old.
Gerilmez A; Calışaneller AT
Ulus Travma Acil Cerrahi Derg; 2020 May; 26(3):462-468. PubMed ID: 32436970
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]