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At least 235 records · Page 13Linked to original sources
PubMed2004

Evidence-based medicine and ethics: a practical approach.

The clinical decision is supposed to be based on evidence. In fact, what counts as evidence is far from being established. Some definition of "proof" is needed to distinguish between scientific medicine and charlatanism. My thesis is that unfortunately a clear-cut boundary between evidence and lack of evidence cannot be found, for several reasons that I summarise in the paper. Evidence in medicine very often has fuzzy boundaries, and dichotomising fuzziness and uncertainty can have serious consequences. Physicians and patients should accept the irreducible fuzziness of many of the concepts they use when dealing with health and disease.

Attitude to Health↗
PubMed1979

Pierre Adolphe Piorry (1794-1879): pioneer of percussion and pleximetry.

Piorry was born in Poitiers on 31 December 1794. As a medical student he served in the Napoleonic war in Spain. His teachers in medicine included Corvisart, Bayle, Broussais, and Magendie; he qualified in 1816 with an MD thesis: "On the danger of reading medical text books by the laity"! Laënnec's invention of the stethoscope (1816) and De l' Auscultation Médiate (1819) inspired Piorry to make an analogous contribution to the technique of percussion (which had been originally described by Auenbrugger in his Inventum Novum in 1761 and translated from the Latin into French by Corvisart in 1808). This led to Piorry's invention in 1826 of the pleximeter (le plessimétre) to help outline the internal organs (l'organographisme), which he described inDe la Percussion Médiate (1828). Piorry became renowned as a professor of medicine in many of the great Parisian hospitals (Charité, Pitié, and Hôtel Dieux). In 1832 he was appointed to L'Hospice de la Salpétrière, where he held a famous course of clinical lectures. He wrote prolificly on many aspects of medicine and published more than twenty books. He was, in addition, a poet of some distinction, and wrote a remarkable long poem Dieu, L'Ame et la Nature (1853). Piorry held his neologisms-for example, toxin, toxaemia, septicaemia, etc.-are still in use. This, together with the mixed reception that his advocacy of pleximetry received from his medical contemporaries, made him a controversial figure. He died on 29 May 1879.

Auscultation↗
PubMed2003

Identification of biological relationships from text documents using efficient computational methods.

The biological literature databases continue to grow rapidly with vital information that is important for conducting sound biomedical research and development. The current practices of manually searching for information and extracting pertinent knowledge are tedious, time-consuming tasks even for motivated biological researchers. Accurate and computationally efficient approaches in discovering relationships between biological objects from text documents are important for biologists to develop biological models. The term "object" refers to any biological entity such as a protein, gene, cell cycle, etc. and relationship refers to any dynamic action one object has on another, e.g. protein inhibiting another protein or one object belonging to another object such as, the cells composing an organ. This paper presents a novel approach to extract relationships between multiple biological objects that are present in a text document. The approach involves object identification, reference resolution, ontology and synonym discovery, and extracting object-object relationships. Hidden Markov Models (HMMs), dictionaries, and N-Gram models are used to set the framework to tackle the complex task of extracting object-object relationships. Experiments were carried out using a corpus of one thousand Medline abstracts. Intermediate results were obtained for the object identification process, synonym discovery, and finally the relationship extraction. For the thousand abstracts, 53 relationships were extracted of which 43 were correct, giving a specificity of 81 percent. These results are promising for multi-object identification and relationship finding from biological documents.

Algorithms↗