Article Zhong Li · Mar 28, 2023 10m read Perceived gaps to GPT assisted COS development automation Keywords: ChatGPT, COS, Lookup Table, IRIS, AI Purpose Here is another quick note before we move on to GPT-4 assisted automation journey. Below are some "little" helps ChatGPT had already been offering, here and there, during daily works. And what could be the perceived gaps, risks and traps to LLMs assisted automation, if you happen to explore this path too. I'd also love to hear anyone's use cases and experiences on this front too. #Artificial Intelligence (AI) #ChatGPT #Generative AI (GenAI) #Large Language Model (LLM) #Tutorial #InterSystems IRIS for Health #VSCode 5 3 1 539
Article Zhong Li · Feb 15, 2023 11m read ChatGPT to create message transformations for you? A "big" or "small" ask for ChatGPT? I tried OpenAI GPT's coding model a couple of weeks ago, to see whether it can do e.g. some message transformations between healthcare protocols. It surely "can", to a seemingly fair degree. #Artificial Intelligence (AI) #Best Practices #ChatGPT #FHIR #Generative AI (GenAI) #HL7 #HealthShare #InterSystems IRIS 9 7 1 2.4K
Article Zhong Li · Jan 23, 2023 11m read GPT's implications to healthcare interoperability protocols? Fun or No Fun - how serious is it? Large language models are stirring up some phenomena in recent months. So inevitably I was playing ChatGPT too over last weekend, to probe whether it would be a complimentary to some BERT based "traditional" AI chatbots I was knocking up, or rather would it simply sweep them away. #Artificial Intelligence (AI) #ChatGPT #FHIR #Generative AI (GenAI) #HL7 #JSON #Large Language Model (LLM) #HealthShare #Other 9 3 1 991
Article Zhong Li · Sep 6, 2020 18m read Deploy ML/DL models into a consolidated AI demo service stack Keywords: IRIS, IntegratedML, Flask, FastAPI, Tensorflow Serving, HAProxy, Docker, Covid-19 #Artificial Intelligence (AI) #Containerization #Continuous Delivery #Continuous Integration #IntegratedML #Machine Learning (ML) #InterSystems IRIS Open Exchange app 3 0 1 2.2K
Article Zhong Li · Aug 23, 2020 15m read Run some Covid-19 ICU predictions via ML vs. IntegratedML (Part II) Keywords: IRIS, IntegratedML, Machine Learning, Covid-19, Kaggle Continued from the previous Part I ... In part I, we walked through traditional ML approaches on this Covid-19 dataset on Kaggle. In this Part II, let's run the same data & task, in its simplest possible form, through IRIS integratedML which is a nice & sleek SQL interface for backend AutoML options. It uses the same environment. #IntegratedML #Machine Learning (ML) #InterSystems IRIS 0 0 0 536
Article Zhong Li · Aug 22, 2020 24m read Run some Covid-19 ICU predictions via ML vs. IntegratedML (Part I) Keywords: IRIS, IntegratedML, Machine Learning, Covid-19, Kaggle Purpose Recently I noticed a Kaggle dataset for the prediction of whether a Covid-19 patient will be admitted to ICU. It is a spreadsheet of 1925 encounter records of 231 columns of vital signs and observations, with the last column of "ICU" being 1 for Yes or 0 for No. The task is to predict whether a patient will be admitted to ICU based on known data. #Artificial Intelligence (AI) #IntegratedML #Machine Learning (ML) #SQL #InterSystems IRIS Open Exchange app 2 1 1 822
Article Zhong Li · Jul 18, 2020 7m read Save Pandas DataFrame into IRIS - a quick note Keyword: Pandas DataFrame, IRIS, Python, JDBC #JDBC #Machine Learning (ML) #Python #InterSystems IRIS Open Exchange app 2 3 1 953
Article Zhong Li · Jun 12, 2020 8m read Python ODBC connection into IRIS database - 2nd quick note Keywords: PyODBC, unixODBC, IRIS, IntegratedML, Jupyter Notebook, Python 3 Purpose A few months ago I touched on a brief note on "Python JDBC connection into IRIS", and since then I referred to it more frequently than my own scratchpad hidden deep in my PC. Hence, here comes up another 5-minute note on how to make "Python ODBC connection into IRIS". #Artificial Intelligence (AI) #Analytics #Machine Learning (ML) #InterSystems IRIS 1 0 1 2K
Article Zhong Li · May 1, 2020 10m read Explainability and Visibility into Covid-19 X-Ray Classifiers by Deep Learning Keywords: Deep Learning, Grad-CAM, X-Ray, Covid-19, HealthShare, IRIS Purpose Over the Easter Weekend I touched on some deep learning classifier for Covid-19 Lungs. The demo result seems fine, seemingly matching some academic research publications around that time on this topic. But is it really "fine "? #HealthShare #InterSystems IRIS #InterSystems IRIS for Health 2 1 2 1.4K
Article Zhong Li · Apr 16, 2020 12m read Run some Covid-19 lung X-Ray classification and CT detection demos Keywords: COVID-19, Medical Imaging, Deep Learning, PACS Viewer, and HealthShare. Purpose We are all gripped by this unprecedented Covid-19 pandemic. While supporting our customers in battlefields by any means, we also observed various fighting fronts against Covid-19 by leveraging today's AI powers. #Artificial Intelligence (AI) #Machine Learning (ML) #HealthShare 3 3 1 1.7K
Article Zhong Li · Jan 27, 2020 7m read Python JDBC connection into IRIS database - a quick note Keywords: Python, JDBC, SQL, IRIS, Jupyter Notebook, Pandas, Numpy, and Machine Learning 1. Purpose This is another 5-minute simple note on invoking the IRIS JDBC driver via Python 3 within i.e. a Jupyter Notebook, to read from and write data into an IRIS database instance via SQL syntax, for demo purpose. #Best Practices #JDBC #Machine Learning (ML) #ODBC #Python #InterSystems IRIS 6 1 2 2.8K
Article Zhong Li · Apr 12, 2019 11m read Build HealthShare Docker Images for Demo Purposes on a Windows Laptop 1. Purpose This is a 10-minute simple step-by-step guide on how to quickly set up various flavors of HealthShare docker containers from scratch on a Win10 laptop. For example, we can build a couple of HealthShare "global edition vs UK Edition" demos as shown below. There are a couple of frequently asked questions from HealthShare colleagues and partners: #Docker #Health Connect #HealthShare 2 3 2 806
Article Zhong Li · Mar 15, 2019 15m read Run A Deep Learning Demo with Python3 Binding to HealthShare (Part II) Keywords: Jupyter Notebook, Tensorflow GPU, Keras, Deep Learning, MLP, and HealthShare 1. Purpose and Objectives In previous"Part I" we have set up a deep learning demo environment. In this "Part II" we will test what we could do with it. Many people at my age had started with the classic MLP (Multi-Layer Perceptron) model. It is intuitive hence conceptually easier to start with. #Artificial Intelligence (AI) #Beginner #Machine Learning (ML) #Python #HealthShare 1 2 3 929
Article Zhong Li · Mar 14, 2019 10m read A Deep Learning Demo Kit with Python3 Binding to HealthShare (Part I) Keywords: Anaconda, Jupyter Notebook, Tensorflow GPU, Deep Learning, Python 3 and HealthShare 1. Purpose and Objectives This "Part I" is a quick record on how to set up a "simple" but popular deep learning demo environment step-by-step with a Python 3 binding to a HealthShare 2017.2.1 instance . I used a Win10 laptop at hand, but the approach works the same on MacOS and Linux. #Artificial Intelligence (AI) #Machine Learning (ML) #Python #HealthShare 4 0 2 1.1K
Article Zhong Li · Sep 25, 2017 5m read HealthConnect (Ensemble) Integration with PKB Service 1. Scope and Objective: Recently we supported a few NHS cases that required TIE (Trust Integration Engine) integration with the PKB service. Hence this article is meant to be a 10-minute quick guide to describe a demo solution (simple configurations and end-2-end implementation steps) for Health Connect (Ensemble) Integration with PKB (Patient-Knows-Best) service. #API #Business Operation #SOAP #Health Connect #HealthShare 5 0 1 1.4K