Financial misstatement detection: a realistic evaluation

In this work, we examine the evaluation process for the task of detecting financial reports with a high risk of containing a misstatement. This task is often referred to, in the literature, as ``misstatement detection in financial reports''. We provide an extensive review of the related literature. We propose a new, realistic evaluation framework for the task which, unlike a large part of the previous work: (a) focuses on the misstatement class and its rarity, (b) considers the dimension of time when splitting data into training and test and (c) considers the fact that misstatements can take a long time to detect. Most importantly, we show that the evaluation process significantly affects system performance, and we analyze the performance of different models and feature types in the new realistic framework.Comment: 9 pages, ICAIF202

Galactorrhea, mastodynia and gynecomastia as the first manifestation of lung adenocarcinoma. A case report

Gynecomastia with mastodynia and galactorrhea as a paraneoplastic syndrome due to lung cancer with complete response after surgical excision is rare. A 62-year-old Caucasian male presented with mastodynia, galactorrhea and right breast enlargement. Chest x-ray revealed a left upper lobe tumor. The patient had high levels of serum beta-human chorionic gonadotropin (b-HCG) and prolactine. Complete staging was negative for metastases. A typical left upper lobectomy with radical mediastinal lymph node dissection was performed. Pathology report was consistent with a poorly differentiated adenocarcinoma (T2N1M0). Immunohistochemically, multinucleate cells and occasional mononucleate tumor cells showed positivity for human chorionic gonadotropin. The patient received adjuvant chemotherapy with cisplatin - navelbine. One year later physical examination showed regression of both gynecomastia and mastodynia and there was no nipple discharge, while he is free from local or distant metastatic disease and the b-HCG level is normal (1,59 mIU/ml). This case represents a very rare, first manifestation of lung cancer. Galactorrhea, mastodynia and gynecomastia were the initial symptoms, which totally resolved following the successful surgical resection and adjuvant chemotherapy. In this case, prolactin and b-HCG are useful biomarkers during follow up for checking local or distal recurrence of the disease

Multiple metachronous and synchronous malignancies with lung and thorax involvement. Report of two cases

Multiple primary malignant neoplasms (MPMN) is an uncommon phenomenon, while the diagnosis of such conditions is very significant. Considering that the strategy of the treatment is determined by the histological type of the tumor, practitioners should be alert in order to avoid malpractices in cases of multiple metachronous or synchronous malignancies. In this article we report two rare cases of MPMN. The first patient suffered from three metachronous malignant neoplasms, specifically tonsillar, lung and breast cancer, while the second patient was diagnosed with four synchronous and metachronous malignant tumors, including renal and lung cancer, basaloid carcinoma and melanoma. Such cases are extremely rare in the clinical practice and poorly described in the literature

Endobronchial ultrasound convex probe for lymphoma, sarcoidosis, lung cancer and other thoracic entities. A case series

Endobronchial ultrasound endoscopy is a state of the art diagnostic endoscopic procedure for the thorax. Firstly it was designed mainly for the staging of lung cancer and of course for the diagnosis of suspicious findings in large central airways. The main limitation of the equipment is the diameter of the instrument and therefore it can only be guided through large airways. However; the diameter of the working channel also provides a large tissue sample nowadays with the 19G biopsy needle. We will provide our experience with the 22G needle of the endobronchial convex-probe in several medical situations of the thorax

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

International audienceBackground : This article provides an overview of the first BIOASQ challenge, a competition on large-scale biomedical semantic indexing and question answering (QA), which took place between March and September 2013. BIOASQ assesses the ability of systems to semantically index very large numbers of biomedical scientific articles, and to return concise and user-understandable answers to given natural language questions by combining information from biomedical articles and ontologies.Results : The 2013 BIOASQ competition comprised two tasks, Task 1a and Task 1b. In Task 1a participants were asked to automatically annotate new PUBMED documents with MESH headings. Twelve teams participated in Task 1a, with a total of 46 system runs submitted, and one of the teams performing consistently better than the MTI indexer used by NLM to suggest MESH headings to curators. Task 1b used benchmark datasets containing 29 development and 282 test English questions, along with gold standard (reference) answers, prepared by a team of biomedical experts from around Europe and participants had to automatically produce answers. Three teams participated in Task 1b, with 11 system runs. The BIOASQ infrastructure, including benchmark datasets, evaluation mechanisms, and the results of the participants and baseline methods, is publicly available.Conclusions : A publicly available evaluation infrastructure for biomedical semantic indexing and QA has been developed, which includes benchmark datasets, and can be used to evaluate systems that: assign MESH headings to published articles or to English questions; retrieve relevant RDF triples from ontologies, relevant articles and snippets from PUBMED Central; produce “exact” and paragraph-sized “ideal” answers (summaries). The results of the systems that participated in the 2013 BIOASQ competition are promising. In Task 1a one of the systems performed consistently better from the NLM’s MTI indexer. In Task 1b the systems received high scores in the manual evaluation of the “ideal” answers; hence, they produced high quality summaries as answers. Overall, BIOASQ helped obtain a unified view of how techniques from text classification, semantic indexing, document and passage retrieval, question answering, and text summarization can be combined to allow biomedical experts to obtain concise, user-understandable answers to questions reflecting their real information needs