A quantitative approach to shortening the levator palpebrae superioris to correct congenital ptosis in children / 国际眼科杂志(Guoji Yanke Zazhi)

@#AIM:To develop a feasible method to correct congenital ptosis in children.<p>METHODS: Sixty-four patients(102 eyelids)were divided into three groups based on the degree of ptosis: mild(<2 mm); moderate(3-4 mm)and severe(>4 mm). All patients underwent the same levator resection surgery in which the suspensory system of the LPS is retained. After capturing a standard photograph of primary position, the height of the superior palpebral margin was measured preoperatively by using Image J software to calculate its ideal height required during surgery. Postoperative outcome measures included upper eyelid margin height, degree of scleral exposure and exposure keratitis. The patients were followed-up at 1wk, 1mo and 6mo postoperatively.<p>RESULTS: In the early postoperative period, except two cases with overcorrection, the positions of the eyelid upper margins were normal in all cases in the mild and moderate groups. Six months postoperatively, the eye with overcorrection in the moderate group showed improvement, while the eye in the mild group did not. Seven eyes in the severe group exhibited residual ptosis to varying degrees. The eyelids exhibited appropriate closing functionality; exposure keratitis was absent.<p>CONCLUSION:Using this preoperative quantification technique to guide surgery not only provided a gauge for LPS shortening under general anesthesia, but also increased the success rate of surgery.

PubMiner: Machine Learning-based Text Mining for Biomedical Information Analysis

In this paper we introduce PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature. PubMiner employs natural language processing techniques and machine learning based data mining techniques for mining useful biological information such as protein-protein interaction from the massive literature. The system recognizes biological terms such as gene, protein, and enzymes and extracts their interactions described in the document through natural language processing. The extracted interactions are further analyzed with a set of features of each entity that were collected from the related public databases to infer more interactions from the original interactions. An inferred interaction from the interaction analysis and native interaction are provided to the user with the link of literature sources. The performance of entity and interaction extraction was tested with selected MEDLINE abstracts. The evaluation of inference proceeded using the protein interaction data of S. cerevisiae (bakers yeast) from MIPS and SGD.

Guidance to the Test Result Analysis Software of Medical College / 中华医学教育探索杂志

Xuzhou Medical Collage developed a set of test result analysis software.It uses Visual Basic for Application(VBA)and statistics function in database Excel2000.It is simple to use and powerful in function.A brief introduction was given below to help you to use it.