Nemshan / predicting-Paid-amount-for-Claims-DataLinks
Introduction The context is the 2016 public use NH medical claims files obtained from NH CHIS (Comprehensive Health Care Information System). The dataset contains Commercial Insurance claims, and a small fraction of Medicaid and Medicare payments for dually eligible people. The primary purpose of this assignment is to test machine learning (ML) …
☆25Updated 6 years ago
Alternatives and similar repositories for predicting-Paid-amount-for-Claims-Data
Users that are interested in predicting-Paid-amount-for-Claims-Data are comparing it to the libraries listed below
Sorting:
- Clinical NLP workshop for ODSC☆39Updated 6 years ago
- A curated list of awesome healthcare datasets in the public domain.☆114Updated 7 years ago
- An NLP pipeline for COVID-19 surveillance used in the Department of Veterans Affairs Biosurveillance.☆16Updated 3 years ago
- Automatic classification of medical patient discharge notes into standard disease labels, using deep learning models☆30Updated 6 years ago
- Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!☆31Updated 5 years ago
- Discovering Related Clinical Concepts using Large Amounts of Clinical Notes. An unsupervised graphical approach to mine related concepts …☆25Updated 7 years ago
- Predicting health insurance cost from Morality data using Machine Learning techniques☆42Updated 4 years ago
- A simple web app that shows how Watson's Natural Language Classifier (NLC) can classify ICD-10 code. The app is written in Python using t…☆119Updated 3 months ago
- ☆23Updated 3 years ago
- ☆38Updated 8 years ago
- An application to interact with your FHIR API's using natural language query☆15Updated 2 years ago
- ☆33Updated 7 years ago
- Published by Packt☆126Updated 2 years ago
- A Python implementation of the tools from H-CUP (Healthcare Cost and Utilization Project)☆66Updated 2 years ago
- Python tools for healthcare machine learning☆327Updated 6 years ago
- An information extraction system for free-text eligibility criteria☆38Updated 6 years ago
- ☆18Updated 5 years ago
- A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.☆85Updated 3 months ago
- Surfacing Semantic Data from Clinical Notes in Electronic Health Records for Tailored Care, Trial Recruitment and Clinical Research☆89Updated 2 years ago
- Finds out symptoms similar to a given symptom, from a symptom-disease data set.☆50Updated 7 years ago
- MedXN is a medication normalization system built upon Apache UIMA framework.☆25Updated last year
- An open source automl library for using machine learning in healthcare.☆122Updated last year
- Source Code for 'AI for Healthcare with Keras and Tensorflow 2.0' by Anshik Bansal☆15Updated 4 years ago
- A sophisticated smart symptom search engine☆178Updated 7 years ago
- Work on using Retrieval-Augmented Generation (RAG) to combine Fast Healthcare Interoperable Resources (FHIR) with Generative AI.☆111Updated last year
- Robust de-identification of medical notes using transformer architectures☆56Updated 3 years ago
- Training a decision tree to predict diseases from symptoms.☆103Updated 8 years ago
- NLP system for identifying patient housing status in Veteran Affairs☆12Updated last year
- ☆63Updated 7 years ago
- Deep learning and AI projects☆26Updated 6 years ago