132 related articles for article (PubMed ID: 37769323)
21. Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data.
Sezgin E; Hussain SA; Rust S; Huang Y
JMIR Form Res; 2023 Mar; 7():e43014. PubMed ID: 36881467
[TBL] [Abstract][Full Text] [Related]
22. Prediction of malignant lymph nodes in NSCLC by machine-learning classifiers using EBUS-TBNA and PET/CT.
Guberina M; Herrmann K; Pöttgen C; Guberina N; Hautzel H; Gauler T; Ploenes T; Umutlu L; Wetter A; Theegarten D; Aigner C; Eberhardt WEE; Metzenmacher M; Wiesweg M; Schuler M; Karpf-Wissel R; Santiago Garcia A; Darwiche K; Stuschke M
Sci Rep; 2022 Oct; 12(1):17511. PubMed ID: 36266403
[TBL] [Abstract][Full Text] [Related]
23. Predictive Risk Models for Wound Infection-Related Hospitalization or ED Visits in Home Health Care Using Machine-Learning Algorithms.
Song J; Woo K; Shang J; Ojo M; Topaz M
Adv Skin Wound Care; 2021 Aug; 34(8):1-12. PubMed ID: 34260423
[TBL] [Abstract][Full Text] [Related]
24. Assessing Children's Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach.
Brons A; de Schipper A; Mironcika S; Toussaint H; Schouten B; Bakkes S; Kröse B
J Med Internet Res; 2021 Apr; 23(4):e24237. PubMed ID: 33885371
[TBL] [Abstract][Full Text] [Related]
25. Efficient information theoretic strategies for classifier combination, feature extraction and performance evaluation in improving false positives and false negatives for spam e-mail filtering.
Zorkadis V; Karras DA; Panayotou M
Neural Netw; 2005; 18(5-6):799-807. PubMed ID: 16111865
[TBL] [Abstract][Full Text] [Related]
26. Evaluating Solid Lung Adenocarcinoma Anaplastic Lymphoma Kinase Gene Rearrangement Using Noninvasive Radiomics Biomarkers.
Ma DN; Gao XY; Dan YB; Zhang AN; Wang WJ; Yang G; Zhu HZ
Onco Targets Ther; 2020; 13():6927-6935. PubMed ID: 32764984
[TBL] [Abstract][Full Text] [Related]
27. Efficient goal attainment and engagement in a care manager system using unstructured notes.
Rosenthal S; Das S; Hsueh PS; Barker K; Chen CH
J Am Med Inform Assoc; 2020 Mar; 3(1):62-9. PubMed ID: 32142137
[TBL] [Abstract][Full Text] [Related]
28. Combining structured and unstructured data for predictive models: a deep learning approach.
Zhang D; Yin C; Zeng J; Yuan X; Zhang P
BMC Med Inform Decis Mak; 2020 Oct; 20(1):280. PubMed ID: 33121479
[TBL] [Abstract][Full Text] [Related]
29. Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation.
Cusick M; Adekkanattu P; Campion TR; Sholle ET; Myers A; Banerjee S; Alexopoulos G; Wang Y; Pathak J
J Psychiatr Res; 2021 Apr; 136():95-102. PubMed ID: 33581461
[TBL] [Abstract][Full Text] [Related]
30. Enhancing predictions of patient conveyance using emergency call handler free text notes for unconscious and fainting incidents reported to the London Ambulance Service.
Tollinton L; Metcalf AM; Velupillai S
Int J Med Inform; 2020 Sep; 141():104179. PubMed ID: 32663739
[TBL] [Abstract][Full Text] [Related]
31. The added value of text from Dutch general practitioner notes in predictive modeling.
Seinen TM; Kors JA; van Mulligen EM; Fridgeirsson E; Rijnbeek PR
J Am Med Inform Assoc; 2023 Nov; 30(12):1973-1984. PubMed ID: 37587084
[TBL] [Abstract][Full Text] [Related]
32. Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.
Kan Y; Zhang Q; Hao J; Wang W; Zhuang J; Gao J; Huang H; Liang J; Marra G; Calleris G; Oderda M; Zhao X; Gontero P; Guo H
Eur Radiol; 2020 Nov; 30(11):6274-6284. PubMed ID: 32524222
[TBL] [Abstract][Full Text] [Related]
33. Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.
Caccamisi A; Jørgensen L; Dalianis H; Rosenlund M
Ups J Med Sci; 2020 Nov; 125(4):316-324. PubMed ID: 32696698
[TBL] [Abstract][Full Text] [Related]
34. Automatic feed phase identification in multivariate bioprocess profiles by sequential binary classification.
Nikzad-Langerodi R; Lughofer E; Saminger-Platz S; Zahel T; Sagmeister P; Herwig C
Anal Chim Acta; 2017 Aug; 982():48-61. PubMed ID: 28734365
[TBL] [Abstract][Full Text] [Related]
35. Natural language processing and recurrent network models for identifying genomic mutation-associated cancer treatment change from patient progress notes.
Guan M; Cho S; Petro R; Zhang W; Pasche B; Topaloglu U
JAMIA Open; 2019 Apr; 2(1):139-149. PubMed ID: 30944913
[TBL] [Abstract][Full Text] [Related]
36. Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms.
Stryker S; Kapadia AJ; Greenberg JA
Med Phys; 2022 Jan; 49(1):532-546. PubMed ID: 34799852
[TBL] [Abstract][Full Text] [Related]
37. MRI-based radiomics model for preoperative prediction of extramural venous invasion of rectal adenocarcinoma.
Lin X; Jiang H; Zhao S; Hu H; Jiang H; Li J; Jia F
Acta Radiol; 2024 Jan; 65(1):68-75. PubMed ID: 37097830
[TBL] [Abstract][Full Text] [Related]
38. Training based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approach.
Sugaya N
J Chem Inf Model; 2013 Oct; 53(10):2525-37. PubMed ID: 24020509
[TBL] [Abstract][Full Text] [Related]
39. Clinical notes: An untapped opportunity for improving risk prediction for hospitalization and emergency department visit during home health care.
Song J; Hobensack M; Bowles KH; McDonald MV; Cato K; Rossetti SC; Chae S; Kennedy E; Barrón Y; Sridharan S; Topaz M
J Biomed Inform; 2022 Apr; 128():104039. PubMed ID: 35231649
[TBL] [Abstract][Full Text] [Related]
40. Artificial Intelligence-Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study.
Zhang H; Ni W; Li J; Zhang J
JMIR Med Inform; 2020 Jun; 8(6):e17608. PubMed ID: 32538797
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
