Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

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Results for Query ‹ Familial nonmedullary thyroid carcinoma screening

Medullary thyroid cancer – Genetics | Markers

Medullary thyroid cancer – Diagnosis

Neuroendocrine tumor – Diagnosis | Imaging

Thyroid cancer – Diagnosis | Metastases

Papillary thyroid cancer – Prognosis | MACIS

Follicular thyroid cancer – Hurthle cell variant

Papillary thyroid cancer – Prognosis | Stage

Thyroid cancer – Diagnosis | Classification | Staging

Follicular thyroid cancer – Treatment | Finding disease recurrence

Thyroid neoplasm – Diagnosis

Multiple endocrine neoplasia type 2 – Management

Neuroendocrine tumor – Diagnosis | Markers

Parathyroid carcinoma – Treatment

Thyroid neoplasm – Treatment

Multiple endocrine neoplasia type 2 – Diagnosis | Classification

Squamous-cell thyroid carcinoma – Diagnosis | Markers

Squamous-cell thyroid carcinoma – Diagnosis | FNAC

Hürthle cell – Clinical significance | Treatment

Multiple endocrine neoplasia type 2b – Diagnosis | Differential diagnosis

Multiple endocrine neoplasia – Multiple Endocrine Neoplasia Type 1 (MEN1) | Recommended cancer surveillance

Hürthle cell adenoma – Treatment

Thyroid adenoma – Management

Parathyroid carcinoma – Risk factors

Adenoma – Treatment

Multiple endocrine neoplasia type 2b – Prognosis and treatment