412 related articles for article (PubMed ID: 31914991)
1. 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]
2. Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing.
Fernandes M; Westover MB; Singhal AB; Zafar SF
medRxiv; 2024 Mar; ():. PubMed ID: 38559062
[TBL] [Abstract][Full Text] [Related]
3. Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing.
Garg R; Oh E; Naidech A; Kording K; Prabhakaran S
J Stroke Cerebrovasc Dis; 2019 Jul; 28(7):2045-2051. PubMed ID: 31103549
[TBL] [Abstract][Full Text] [Related]
4. Automatic quantitative stroke severity assessment based on Chinese clinical named entity recognition with domain-adaptive pre-trained large language model.
Gu Z; He X; Yu P; Jia W; Yang X; Peng G; Hu P; Chen S; Chen H; Lin Y
Artif Intell Med; 2024 Apr; 150():102822. PubMed ID: 38553162
[TBL] [Abstract][Full Text] [Related]
5. Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.
Marafino BJ; Park M; Davies JM; Thombley R; Luft HS; Sing DC; Kazi DS; DeJong C; Boscardin WJ; Dean ML; Dudley RA
JAMA Netw Open; 2018 Dec; 1(8):e185097. PubMed ID: 30646310
[TBL] [Abstract][Full Text] [Related]
6. Identifying stroke-related quantified evidence from electronic health records in real-world studies.
Yang L; Huang X; Wang J; Yang X; Ding L; Li Z; Li J
Artif Intell Med; 2023 Jun; 140():102552. PubMed ID: 37210153
[TBL] [Abstract][Full Text] [Related]
7. Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning.
Lee RY; Brumback LC; Lober WB; Sibley J; Nielsen EL; Treece PD; Kross EK; Loggers ET; Fausto JA; Lindvall C; Engelberg RA; Curtis JR
J Pain Symptom Manage; 2021 Jan; 61(1):136-142.e2. PubMed ID: 32858164
[TBL] [Abstract][Full Text] [Related]
8. Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity.
Clapp MA; Kim E; James KE; Perlis RH; Kaimal AJ; McCoy TH; Easter SR
JAMA Netw Open; 2022 Oct; 5(10):e2234924. PubMed ID: 36197662
[TBL] [Abstract][Full Text] [Related]
9. Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation.
Zhao Y; Fu S; Bielinski SJ; Decker PA; Chamberlain AM; Roger VL; Liu H; Larson NB
J Med Internet Res; 2021 Mar; 23(3):e22951. PubMed ID: 33683212
[TBL] [Abstract][Full Text] [Related]
10. Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study.
Park E; Lee K; Han T; Nam HS
J Med Internet Res; 2020 Sep; 22(9):e20641. PubMed ID: 32936079
[TBL] [Abstract][Full Text] [Related]
11. Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.
Le DV; Montgomery J; Kirkby KC; Scanlan J
J Biomed Inform; 2018 Oct; 86():49-58. PubMed ID: 30118855
[TBL] [Abstract][Full Text] [Related]
12. Development and validation of a model predicting mild stroke severity on admission using electronic health record data.
Waddell KJ; Myers LJ; Perkins AJ; Sico JJ; Sexson A; Burrone L; Taylor S; Koo B; Daggy JK; Bravata DM
J Stroke Cerebrovasc Dis; 2023 Sep; 32(9):107255. PubMed ID: 37473533
[TBL] [Abstract][Full Text] [Related]
13. Comparison of 30-day mortality models for profiling hospital performance in acute ischemic stroke with vs without adjustment for stroke severity.
Fonarow GC; Pan W; Saver JL; Smith EE; Reeves MJ; Broderick JP; Kleindorfer DO; Sacco RL; Olson DM; Hernandez AF; Peterson ED; Schwamm LH
JAMA; 2012 Jul; 308(3):257-64. PubMed ID: 22797643
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.
Lin C; Hsu CJ; Lou YS; Yeh SJ; Lee CC; Su SL; Chen HC
J Med Internet Res; 2017 Nov; 19(11):e380. PubMed ID: 29109070
[TBL] [Abstract][Full Text] [Related]
16. Machine learning to parse breast pathology reports in Chinese.
Tang R; Ouyang L; Li C; He Y; Griffin M; Taghian A; Smith B; Yala A; Barzilay R; Hughes K
Breast Cancer Res Treat; 2018 Jun; 169(2):243-250. PubMed ID: 29380208
[TBL] [Abstract][Full Text] [Related]
17. Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study.
Raket LL; Jaskolowski J; Kinon BJ; Brasen JC; Jönsson L; Wehnert A; Fusar-Poli P
Lancet Digit Health; 2020 May; 2(5):e229-e239. PubMed ID: 33328055
[TBL] [Abstract][Full Text] [Related]
18. Developing a stroke severity index based on administrative data was feasible using data mining techniques.
Sung SF; Hsieh CY; Kao Yang YH; Lin HJ; Chen CH; Chen YW; Hu YH
J Clin Epidemiol; 2015 Nov; 68(11):1292-300. PubMed ID: 25700940
[TBL] [Abstract][Full Text] [Related]
19. Predicting Discharge Disposition Following Meningioma Resection Using a Multi-Institutional Natural Language Processing Model.
Muhlestein WE; Monsour MA; Friedman GN; Zinzuwadia A; Zachariah MA; Coumans JV; Carter BS; Chambless LB
Neurosurgery; 2021 Mar; 88(4):838-845. PubMed ID: 33483747
[TBL] [Abstract][Full Text] [Related]
20. Automated outcome classification of emergency department computed tomography imaging reports.
Yadav K; Sarioglu E; Smith M; Choi HA
Acad Emerg Med; 2013 Aug; 20(8):848-54. PubMed ID: 24033628
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
