101 related articles for article (PubMed ID: 37816199)
1. Early Diagnosis of Pancreatic Cancer via Machine Learning Analysis of a National Electronic Medical Record Database.
Matchaba S; Fellague-Chebra R; Purushottam P; Johns A
JCO Clin Cancer Inform; 2023 Sep; 7():e2300076. PubMed ID: 37816199
[TBL] [Abstract][Full Text] [Related]
2. Clinical Data Prediction Model to Identify Patients With Early-Stage Pancreatic Cancer.
Chen Q; Cherry DR; Nalawade V; Qiao EM; Kumar A; Lowy AM; Simpson DR; Murphy JD
JCO Clin Cancer Inform; 2021 Mar; 5():279-287. PubMed ID: 33739856
[TBL] [Abstract][Full Text] [Related]
3. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
[TBL] [Abstract][Full Text] [Related]
4. The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study.
He F; Page JH; Weinberg KR; Mishra A
J Med Internet Res; 2022 Jan; 24(1):e31549. PubMed ID: 34951865
[TBL] [Abstract][Full Text] [Related]
5. Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.
Corey KM; Kashyap S; Lorenzi E; Lagoo-Deenadayalan SA; Heller K; Whalen K; Balu S; Heflin MT; McDonald SR; Swaminathan M; Sendak M
PLoS Med; 2018 Nov; 15(11):e1002701. PubMed ID: 30481172
[TBL] [Abstract][Full Text] [Related]
6. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
[TBL] [Abstract][Full Text] [Related]
7. Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data.
Malhotra A; Rachet B; Bonaventure A; Pereira SP; Woods LM
PLoS One; 2021; 16(6):e0251876. PubMed ID: 34077433
[TBL] [Abstract][Full Text] [Related]
8. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.
Yuan Q; Cai T; Hong C; Du M; Johnson BE; Lanuti M; Cai T; Christiani DC
JAMA Netw Open; 2021 Jul; 4(7):e2114723. PubMed ID: 34232304
[TBL] [Abstract][Full Text] [Related]
9. Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data.
Rasmy L; Nigo M; Kannadath BS; Xie Z; Mao B; Patel K; Zhou Y; Zhang W; Ross A; Xu H; Zhi D
Lancet Digit Health; 2022 Jun; 4(6):e415-e425. PubMed ID: 35466079
[TBL] [Abstract][Full Text] [Related]
10. Postoperative delirium prediction using machine learning models and preoperative electronic health record data.
Bishara A; Chiu C; Whitlock EL; Douglas VC; Lee S; Butte AJ; Leung JM; Donovan AL
BMC Anesthesiol; 2022 Jan; 22(1):8. PubMed ID: 34979919
[TBL] [Abstract][Full Text] [Related]
11. Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation.
Du Z; Yang Y; Zheng J; Li Q; Lin D; Li Y; Fan J; Cheng W; Chen XH; Cai Y
JMIR Med Inform; 2020 Jul; 8(7):e17257. PubMed ID: 32628616
[TBL] [Abstract][Full Text] [Related]
12. Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project.
Gibson TB; Nguyen MD; Burrell T; Yoon F; Wong J; Dharmarajan S; Ouellet-Hellstrom R; Hua W; Ma Y; Baro E; Bloemers S; Pack C; Kennedy A; Toh S; Ball R
J Am Med Inform Assoc; 2021 Jul; 28(7):1507-1517. PubMed ID: 33712852
[TBL] [Abstract][Full Text] [Related]
13. Epigenomic Blood-Based Early Detection of Pancreatic Cancer Employing Cell-Free DNA.
Haan D; Bergamaschi A; Friedl V; Guler GD; Ning Y; Reggiardo R; Kesling M; Collins M; Gibb B; Hazen K; Bates S; Antoine M; Fraire C; Lopez V; Malta R; Nabiyouni M; Nguyen A; Phillips T; Riviere M; Leighton A; Ellison C; McCarthy E; Scott A; Gigliotti L; Nilson E; Sheard J; Peters M; Bethel K; Chowdhury S; Volkmuth W; Levy S
Clin Gastroenterol Hepatol; 2023 Jul; 21(7):1802-1809.e6. PubMed ID: 36967102
[TBL] [Abstract][Full Text] [Related]
14. Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.
Nguyen BP; Pham HN; Tran H; Nghiem N; Nguyen QH; Do TTT; Tran CT; Simpson CR
Comput Methods Programs Biomed; 2019 Dec; 182():105055. PubMed ID: 31505379
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Early Sepsis Prediction Using Ensemble Learning With Deep Features and Artificial Features Extracted From Clinical Electronic Health Records.
He Z; Du L; Zhang P; Zhao R; Chen X; Fang Z
Crit Care Med; 2020 Dec; 48(12):e1337-e1342. PubMed ID: 33044286
[TBL] [Abstract][Full Text] [Related]
17. Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis.
Nesaragi N; Patidar S; Aggarwal V
Comput Biol Med; 2021 Jul; 134():104430. PubMed ID: 33991856
[TBL] [Abstract][Full Text] [Related]
18. Comparing Machine Learning to Regression Methods for Mortality Prediction Using Veterans Affairs Electronic Health Record Clinical Data.
Jing B; Boscardin WJ; Deardorff WJ; Jeon SY; Lee AK; Donovan AL; Lee SJ
Med Care; 2022 Jun; 60(6):470-479. PubMed ID: 35352701
[TBL] [Abstract][Full Text] [Related]
19. Generative transfer learning for measuring plausibility of EHR diagnosis records.
Estiri H; Vasey S; Murphy SN
J Am Med Inform Assoc; 2021 Mar; 28(3):559-568. PubMed ID: 33043366
[TBL] [Abstract][Full Text] [Related]
20. Assessing stroke severity using electronic health record data: a machine learning approach.
Kogan E; Twyman K; Heap J; Milentijevic D; Lin JH; Alberts M
BMC Med Inform Decis Mak; 2020 Jan; 20(1):8. PubMed ID: 31914991
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
