291 related articles for article (PubMed ID: 31784992)
1. Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.
Wissel BD; Greiner HM; Glauser TA; Holland-Bouley KD; Mangano FT; Santel D; Faist R; Zhang N; Pestian JP; Szczesniak RD; Dexheimer JW
Epilepsia; 2020 Jan; 61(1):39-48. PubMed ID: 31784992
[TBL] [Abstract][Full Text] [Related]
2. Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.
Wissel BD; Greiner HM; Glauser TA; Mangano FT; Santel D; Pestian JP; Szczesniak RD; Dexheimer JW
Epilepsia; 2019 Sep; 60(9):e93-e98. PubMed ID: 31441044
[TBL] [Abstract][Full Text] [Related]
3. Early Identification of Candidates for Epilepsy Surgery: A Multicenter, Machine Learning, Prospective Validation Study.
Wissel BD; Greiner HM; Glauser TA; Pestian JP; Ficker DM; Cavitt JL; Estofan L; Holland-Bouley KD; Mangano FT; Szczesniak RD; Dexheimer JW
Neurology; 2024 Feb; 102(4):e208048. PubMed ID: 38315952
[TBL] [Abstract][Full Text] [Related]
4. Early identification of epilepsy surgery candidates: A multicenter, machine learning study.
Wissel BD; Greiner HM; Glauser TA; Pestian JP; Kemme AJ; Santel D; Ficker DM; Mangano FT; Szczesniak RD; Dexheimer JW
Acta Neurol Scand; 2021 Jul; 144(1):41-50. PubMed ID: 33769560
[TBL] [Abstract][Full Text] [Related]
5. Identifying epilepsy surgery referral candidates with natural language processing in an Australian context.
Tan S; Goh R; Ng JS; Tang C; Ng C; Kovoor J; Stretton B; Gupta A; Ovenden C; Courtney MR; Neal A; Whitham E; Frasca J; Kiley M; Abou-Hamden A; Bacchi S
Epilepsia Open; 2024 Apr; 9(2):635-642. PubMed ID: 38261415
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Natural language processing of admission notes to predict severe maternal morbidity during the delivery encounter.
Clapp MA; Kim E; James KE; Perlis RH; Kaimal AJ; McCoy TH
Am J Obstet Gynecol; 2022 Sep; 227(3):511.e1-511.e8. PubMed ID: 35430230
[TBL] [Abstract][Full Text] [Related]
9. Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.
Afshar M; Phillips A; Karnik N; Mueller J; To D; Gonzalez R; Price R; Cooper R; Joyce C; Dligach D
J Am Med Inform Assoc; 2019 Mar; 26(3):254-261. PubMed ID: 30602031
[TBL] [Abstract][Full Text] [Related]
10. Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients.
Taggart M; Chapman WW; Steinberg BA; Ruckel S; Pregenzer-Wenzler A; Du Y; Ferraro J; Bucher BT; Lloyd-Jones DM; Rondina MT; Shah RU
JAMA Netw Open; 2018 Oct; 1(6):e183451. PubMed ID: 30646240
[TBL] [Abstract][Full Text] [Related]
11. A study of the transferability of influenza case detection systems between two large healthcare systems.
Ye Y; Wagner MM; Cooper GF; Ferraro JP; Su H; Gesteland PH; Haug PJ; Millett NE; Aronis JM; Nowalk AJ; Ruiz VM; López Pineda A; Shi L; Van Bree R; Ginter T; Tsui F
PLoS One; 2017; 12(4):e0174970. PubMed ID: 28380048
[TBL] [Abstract][Full Text] [Related]
12. Development and validation of machine learning models for prediction of seizure outcome after pediatric epilepsy surgery.
Yossofzai O; Fallah A; Maniquis C; Wang S; Ragheb J; Weil AG; Brunette-Clement T; Andrade A; Ibrahim GM; Mitsakakis N; Widjaja E
Epilepsia; 2022 Aug; 63(8):1956-1969. PubMed ID: 35661152
[TBL] [Abstract][Full Text] [Related]
13. Automated detection of sudden unexpected death in epilepsy risk factors in electronic medical records using natural language processing.
Barbour K; Hesdorffer DC; Tian N; Yozawitz EG; McGoldrick PE; Wolf S; McDonough TL; Nelson A; Loddenkemper T; Basma N; Johnson SB; Grinspan ZM
Epilepsia; 2019 Jun; 60(6):1209-1220. PubMed ID: 31111463
[TBL] [Abstract][Full Text] [Related]
14. Identification of Preanesthetic History Elements by a Natural Language Processing Engine.
Suh HS; Tully JL; Meineke MN; Waterman RS; Gabriel RA
Anesth Analg; 2022 Dec; 135(6):1162-1171. PubMed ID: 35841317
[TBL] [Abstract][Full Text] [Related]
15. Yield and Predictors of Epilepsy Surgery Candidacy in Children Admitted for Surgical Evaluation.
Haque OJ; Mandrekar J; Wyatt K; Nickels KC; Wong-Kisiel L; Wetjen N; Wirrell EC
Pediatr Neurol; 2015 Jul; 53(1):58-64. PubMed ID: 26092414
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Evaluation of a Natural Language Processing Approach to Identify Social Determinants of Health in Electronic Health Records in a Diverse Community Cohort.
Rouillard CJ; Nasser MA; Hu H; Roblin DW
Med Care; 2022 Mar; 60(3):248-255. PubMed ID: 34984989
[TBL] [Abstract][Full Text] [Related]
18. Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery.
Karhade AV; Bongers MER; Groot OQ; Cha TD; Doorly TP; Fogel HA; Hershman SH; Tobert DG; Srivastava SD; Bono CM; Kang JD; Harris MB; Schwab JH
Spine J; 2021 Oct; 21(10):1635-1642. PubMed ID: 32294557
[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. 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]
[Next] [New Search]