ArticleDiagnostics (Basel, Switzerland)2022
Natural Language Processing in Diagnostic Texts from Nephropathology.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Association Between Autoimmune Thyroiditis and Cervical Artery Dissection: A Retrospective Cohort Study.Health science reports · 2026Article
- Development of a Natural Language Processing Model for Extracting Kidney Biopsy Pathology Diagnoses.Kidney medicine · 2025Article
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- The association between postoperative physical therapy and opioid prescription after posterior lumbar interbody fusion: a retrospective cohort study of United States academic health centers.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025Article
- Osteoporosis is not associated with increased reoperation or fracture risk three years after total ankle arthroplasty: a retrospective cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025Article
- Association Between Spinal Manipulation, Butalbital Prescription, and Medication Overuse Headache in Adults With Tension-Type Headache: Retrospective Cohort Study.Health science reports · 2024Article
- Association between spinal manipulative therapy and lumbar spine reoperation after discectomy: a retrospective cohort study.BMC musculoskeletal disorders · 2024Article
- Article
- Natural Language Processing Can Automate Extraction of Barrett's Esophagus Endoscopy Quality Metrics.medRxiv : the preprint server for health sciences · 2023Article
- Editorial on Special Issue "Artificial Intelligence in Pathological Image Analysis".Diagnostics (Basel, Switzerland) · 2023Article
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8 authors.
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Abstract
introductionThis study investigates whether it is possible to predict a final diagnosis based on a written nephropathological description-as a surrogate for image analysis-using various NLP methods.
methodsFor this work, 1107 unlabelled nephropathological reports were included. (i) First, after separating each report into its microscopic description and diagnosis section, the diagnosis sections were clustered unsupervised to less than 20 diagnostic groups using different clustering techniques. (ii) Second, different text classification methods were used to predict the diagnostic group based on the microscopic description section.
resultsThe best clustering results (i) could be achieved with HDBSCAN, using BoW-based feature extraction methods. Based on keywords, these clusters can be mapped to certain diagnostic groups. A transformer encoder-based approach as well as an SVM worked best regarding diagnosis prediction based on the histomorphological description (ii). Certain diagnosis groups reached F1-scores of up to 0.892 while others achieved weak classification metrics.
conclusionWhile textual morphological description alone enables retrieving the correct diagnosis for some entities, it does not work sufficiently for other entities. This is in accordance with a previous image analysis study on glomerular change patterns, where some diagnoses are associated with one pattern, but for others, there exists a complex pattern combination.
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