OBJECTIVE To describe medical negligence and malpractice cases in which a patient with a known penicillin allergy received a beta-lactam and experienced an adverse reaction related to the beta-lactam. DATA SOURCES Lexis-Nexus, Westlaw, and Google Scholar were searched. STUDY SELECTIONS Medical negligence and malpractice cases were eligible for inclusion if they met the following criteria: t...

A simple auction-theoretic framework is used to examine symmetric litigation environments where the legal ownership of a disputed asset is unknown by the court. The court observes only the quality of the case presented by each party, and awards the asset to the party presenting the best case. Rational litigants influence the quality of their cases by hiring skillful attorneys. This framework pe...

This paper describes recent approaches using text-mining to automatically profile and extract arguments from legal cases. We outline some of the background context and motivations. We then turn to consider issues related to the construction and composition of a corpora of legal cases. We show how a Context-Free Grammar can be used to extract arguments, and how ontologies and Natural Language Pr...

OBJECTIVES To study the reported medical practice of euthanasia in Belgium since implementation of the euthanasia law. RESEARCH DESIGN Analysis of the anonymous database of all euthanasia cases reported to the Federal Control and Evaluation Committee Euthanasia. SUBJECTS All euthanasia cases reported by physicians for review between implementation of the euthanasia law on September 22nd, 20...

The charge prediction task is to determine appropriate charges for a given case, which is helpful for legal assistant systems where the user input is fact description. We argue that relevant law articles play an important role in this task, and therefore propose an attention-based neural network method to jointly model the charge prediction task and the relevant article extraction task in a uni...

In this paper we propose a large case-based reasoner for the legal domain. Analyzing legal texts for indexing purposes makes the implementation of large case bases a complex task. We present a methodology to automatically convert legal texts into legal cases guided by domain expert knowledge in a rule-based system with Natural Language Processing (NLP) techniques. This methodology can be genera...

The Authors describe two cases of alleged malpractice due to overfilling. The aim of this article is to underline some medico-legal aspects regarding the quantity of extruded material which may be considered acceptable and the consequent damage to the patient. Two cases are presented here: In the first case, the dentist's liability is clear due to excessive extrusion of endodontic material beyo...

In equal employment cases it is important to compare the salary, hiring or promotion status of minority employees or applicants to that of similarly qualified majority members. Standard regression methods include a binary variable indicating minority status along with major job-related variables to assess whether belonging to a minority has a negative effect. Implicitly, this method assumes tha...