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  2. List of open-source health software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_health...

    HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...

  3. Health Level 7 - Wikipedia

    en.wikipedia.org/wiki/Health_Level_7

    Health Level Seven, abbreviated to HL7, is a range of global standards for the transfer of clinical and administrative health data between applications with the aim to improve patient outcomes and health system performance. The HL7 standards focus on the application layer, which is "layer 7" in the Open Systems Interconnection model.

  4. Health Level Seven International - Wikipedia

    en.wikipedia.org/wiki/Health_Level_Seven...

    The name "Health Level-7" is a reference to the seventh layer of the ISO OSI Reference model also known as the application layer. The name indicates that HL7 focuses on application layer protocols for the health care domain, independent of lower layers. HL7 effectively considers all lower layers merely as tools. [7]

  5. List of COVID-19 simulation models - Wikipedia

    en.wikipedia.org/wiki/List_of_COVID-19...

    COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. [1] The list should not be confused with COVID-19 apps used mainly for digital contact tracing. Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.

  6. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]

  7. IBM Could Win Big From DeepSeek's AI Disruption - AOL

    www.aol.com/ibm-could-win-big-deepseeks...

    International Business Machines (NYSE: IBM) has found an artificial intelligence (AI) strategy that works. The company's most notable failure was an attempt to leverage AI to transform the ...

  8. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Flamingo demonstrated the effectiveness of the tokenization method, finetuning a pair of pretrained language model and image encoder to perform better on visual question answering than models trained from scratch. [84] Google PaLM model was fine-tuned into a multimodal model PaLM-E using the tokenization method, and applied to robotic control. [85]

  9. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.