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hcia-ai

provide codes and datas for HCIA-AI project

hcia-ai-1

hcia-ai-exam

hcia-ai-sessions

health-tech

Official source code for Health Tech , a health care service provider which uses artifical intelligence to tackle the problems .

healthcare

healthcare-1

A responsive theme for commercial medical purpose. Built with HTML5, CSS3, Bootstrap framework. Google fonts, Font Awesome Icon integrated

healthcare-ai

AI in healthcare market is expected to grow from USD 2.1 billion in 2018 to USD 36.1 billion by 2025, at a CAGR of 50.2% during the forecast period. The huge availability of big data, growing number of cross-industry partnerships and collaborations is fueling the growth of the Artificial Intelligence market. In addition, demand to reduce the imbalance between healthcare workforce and patients is further supplementing the growth of the AI in healthcare market.

healthcare-analysis

This repository has several public datasets from data.gov, that will be used for machine learning, data visualization, analytics, and other methods to learn and make better decisions for our health.

healthcare-analytics

Hospital admission data was analyzed to accurately predict the patient’s Length of Stay at the time of admit so that the hospitals can optimize resources and function better.

healthcare-analytics-1

Data science plays an important role in many industries. In facing massive amount of heterogeneous data, scalable machine learning and data mining algorithms and systems become extremely important for data scientists. The growth of volume, complexity and speed in data drives the need for scalable data analytic algorithms and systems in the context of healthcare.

healthcare-analytics-made-simple

Healthcare Analytics Made Simple, published by Packt

healthcare-ml-application-complete-end-to-end-project

Access to quality healthcare and doctors has always been a concern in developing countries and remote areas. To deal with such issues, this healthcare web application is developed. Healthcare data was fed to machine learning training models and engines for predictive modelling. The accuracy of these models is directly proportional to the training they get. These models will be able to predict the potential health risks to a patient a lot earlier so that they could take the preventive measures and live a long healthy life

healthcare-ml-web-application

Access to quality healthcare and doctors has always been a concern in developing countries and remote areas. To deal with such issues, this healthcare web application is developed. Healthcare data was fed to machine learning training models and engines for predictive modelling. The accuracy of these models is directly proportional to the training they get. These models will be able to predict the potential health risks to a patient a lot earlier so that they could take the preventive measures and live a long healthy life.

healthcare_fraud_detection_ai_ml

HEALTHCARE PROVIDER FRAUD DETECTION ANALYSIS

healthcare_ml

A curated list of ML|NLP resources for healthcare.

healthcareai-py

Python tools for healthcare machine learning

healthcareai-r

R tools for healthcare machine learning

healthcareanalytics

The data was obtained from the center for machine learning and intelligent systems at university of California.These records contain information about various laboratory tests and procedures, diagnosis, and medications that were administered in the duration of the hospital stay. It contains clinical records from over 100,000 individual encounters corresponding to approximately 60,000 distinct patients. The data was collected over a period of 10 years, from 1999 to 2008. The first problem statement is evaluating efficiency of Insulin based treatment for patients. Recommend if solo insulin treatments work well or not. The second one is to recommend solo insulin or a combination of other drugs to new patients given their medical history.

heart-disease-prediction

heart-failure-prediction

Create a model to assess the likelihood of a death by heart failure event. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases.

heart-sounds-deep-learning

❤️ Diagnose Heart Arrhythmias using Deep Learning @ Synopsis 2017

heartbeat-classification

classifying irregular heartbeat audio using CNNs

heartbeat-deep-learning

heritage-health-prize

Kaggle Heritage Health Prize Challenge

hestia

Internal Deep learning framework for computational genomics lab.

hillary-clinton-emails

Code to transform Hillary's emails from raw PDF documents to a SQLite database

histolab

Library for Digital Pathology Image Processing

histomicstk

A Python toolkit for pathology image analysis algorithms.

histopathologic-cancer-detection

A Deep Learning project to classify cancer cells