Journal of Information Processing and Management

Medical and health information, including genetic information, can produce important benefits for both individuals and the public, but this extremely sensitive resource demands special care. Therefore, it is strictly controlled in hospitals and research institutes. Nevertheless, the environment around medical and health information has been changing drastically recently, with the introduction of new ideas. Those changes are expanding the area of personal information under control of patients and the public and are strengthening patient and public involvement in medical research. This paper presents perspectives on recent patient-centered medical and health information management, emphasizing dynamic consent (dynamic informed consent) and recent environmental changes.

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This article examines the point where half-century old machine translation systems freely available to the public reached in 2014. People have different impressions of machine translation as its quality largely varies with the languages, areas, text lengths and so forth the translation deals with. For example, we have no general-purpose highly accurate automatic translation system for Japanese-English readily available yet. On the other hand, we have highly accurate general-purpose automatic translation systems for Japanese-Korean. This article elaborates on statistical machine translation, the core technology, to help recognize the true state of today's automatic translations. Statistical machine translation works in such a way that it derives a statistical model necessary for translation from bilingual data and maximizes probability based on that model. Statistical machine translation offers some unique features including high accuracy in specialized areas and ease of multilingualization. We introduce high accuracy automatic translation by taking, for example, both a speech translation, which applies statistical machine translation to conversations in travel scenes, and a text translation, which applies the same to patent information.

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G-Search has started JDreamIII service from April, 2013. JDreamIII has succeeded service of JDreamII, which had been provided by JST. JDreamIII has 2 types of search interface, one is high compatibility with JDreamII for existing users, and the other is simple search interface for novice users. From November 5, 2013, enhanced version "R2.0" was released.

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For the sake of providing evidences that contribute to policy making or strategy planning in a Japanese version of the NIH and pharmaceutical companies, we tried to give an overview and future prospects of pharmaceutical industry based on new indicators. Here we show new indicators for identifying patents related with pharmaceutical entities' R&D progress ("Pre-clinical" → "Phase 1" → "Phase 2" → "Phase 3" → "Filed" → "Approved" → "Marketed"). "IPC Count", "Forward Citations", and "Citations to Non-Patent Literature" found as new indicators. Not only pipelines but also patents extracted by new indicators are considered to forecast pharmaceutical industries' power of creating new drugs.

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