119 related articles for article (PubMed ID: 38042596)
1. A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis.
Lombardi A; Arezzo F; Di Sciascio E; Ardito C; Mongelli M; Di Lillo N; Fascilla FD; Silvestris E; Kardhashi A; Putino C; Cazzolla A; Loizzi V; Cazzato G; Cormio G; Di Noia T
Artif Intell Med; 2023 Dec; 146():102697. PubMed ID: 38042596
[TBL] [Abstract][Full Text] [Related]
2. Overlap of Suspicious and Non-Suspicious Features in the Ultrasound Evaluations of Leiomyosarcoma: A Single-Center Experience.
Arezzo F; Cormio G; Putino C; Di Lillo N; Silvestris E; Kardhashi A; Cazzolla A; Lombardi C; Mongelli M; Cazzato G; Loizzi V
Diagnostics (Basel); 2023 Feb; 13(3):. PubMed ID: 36766648
[TBL] [Abstract][Full Text] [Related]
3. An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI.
Kibria HB; Nahiduzzaman M; Goni MOF; Ahsan M; Haider J
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236367
[TBL] [Abstract][Full Text] [Related]
4. Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease.
Junaid M; Ali S; Eid F; El-Sappagh S; Abuhmed T
Comput Methods Programs Biomed; 2023 Jun; 234():107495. PubMed ID: 37003039
[TBL] [Abstract][Full Text] [Related]
5. Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms?
Mu N; Rezaeitaleshmahalleh M; Lyu Z; Wang M; Tang J; Strother CM; Gemmete JJ; Pandey AS; Jiang J
Biomed Phys Eng Express; 2023 Mar; 9(3):. PubMed ID: 36626819
[TBL] [Abstract][Full Text] [Related]
6. DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence.
Wani NA; Kumar R; Bedi J
Comput Methods Programs Biomed; 2024 Jan; 243():107879. PubMed ID: 37897989
[TBL] [Abstract][Full Text] [Related]
7. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.
Chen H; Cohen E; Wilson D; Alfred M
JMIR Hum Factors; 2024 Jan; 11():e53378. PubMed ID: 38271086
[TBL] [Abstract][Full Text] [Related]
8. Prediction of 5-year survival in soft tissue leiomyosarcoma using a machine learning model algorithm.
Kamalapathy PN; Gonzalez MR; de Groot TM; Ramkumar D; Raskin KA; Ashkani-Esfahani S; Lozano-Calderón SA
J Surg Oncol; 2024 Mar; 129(3):531-536. PubMed ID: 37974529
[TBL] [Abstract][Full Text] [Related]
9. Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability.
Altini N; Puro E; Taccogna MG; Marino F; De Summa S; Saponaro C; Mattioli E; Zito FA; Bevilacqua V
Bioengineering (Basel); 2023 Mar; 10(4):. PubMed ID: 37106583
[TBL] [Abstract][Full Text] [Related]
10. Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence.
Dimitsaki S; Gavriilidis GI; Dimitriadis VK; Natsiavas P
Artif Intell Med; 2023 Mar; 137():102490. PubMed ID: 36868685
[TBL] [Abstract][Full Text] [Related]
11. An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals.
Khare SK; Acharya UR
Comput Biol Med; 2023 Mar; 155():106676. PubMed ID: 36827785
[TBL] [Abstract][Full Text] [Related]
12. Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records.
Vyas A; Aisopos F; Vidal ME; Garrard P; Paliouras G
BMC Med Inform Decis Mak; 2022 Oct; 22(1):271. PubMed ID: 36253849
[TBL] [Abstract][Full Text] [Related]
13. Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences.
Hatwell J; Gaber MM; Atif Azad RM
BMC Med Inform Decis Mak; 2020 Oct; 20(1):250. PubMed ID: 33008388
[TBL] [Abstract][Full Text] [Related]
14. Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI).
Meas M; Machlev R; Kose A; Tepljakov A; Loo L; Levron Y; Petlenkov E; Belikov J
Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080795
[TBL] [Abstract][Full Text] [Related]
15. Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability.
Charlton CE; Poon MTC; Brennan PM; Fleuriot JD
Comput Methods Programs Biomed; 2023 May; 233():107482. PubMed ID: 36947980
[TBL] [Abstract][Full Text] [Related]
16. Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges.
Giacobbe DR; Zhang Y; de la Fuente J
Ann Med; 2023; 55(2):2286336. PubMed ID: 38010090
[TBL] [Abstract][Full Text] [Related]
17. IHCP: interpretable hepatitis C prediction system based on black-box machine learning models.
Fan Y; Lu X; Sun G
BMC Bioinformatics; 2023 Sep; 24(1):333. PubMed ID: 37674125
[TBL] [Abstract][Full Text] [Related]
18. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
[TBL] [Abstract][Full Text] [Related]
19. Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data.
Nambiar A; S H; S S
Front Artif Intell; 2023; 6():1272506. PubMed ID: 38111787
[TBL] [Abstract][Full Text] [Related]
20. Explainable AI for Bioinformatics: Methods, Tools and Applications.
Karim MR; Islam T; Shajalal M; Beyan O; Lange C; Cochez M; Rebholz-Schuhmann D; Decker S
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37478371
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
