# Artificial Intelligence in Healthcare

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/artificial-intelligence-in-healthcare/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the application of machine learning, big data analytics, and data mining techniques in healthcare and medicine. It covers topics such as medical diagnosis, classification models, heart disease prediction, and the use of support vector machines and logistic regression. The cluster emphasizes the potential of machine learning in improving healthcare outcomes through advanced data analysis. |
| Domain | Health Sciences |
| Field | Health Professions |
| OpenAlex ID | t11396 |
| Works | 288 |

## Topic papers all

Showing 15 of 288.

- [Prediction of Coronary Heart Disease Using Risk Factor Categories](https://scholariq.org/papers/prediction-of-coronary-heart-disease-using-risk-factor-categories/)
- [Recurrent Neural Networks for Multivariate Time Series with Missing Values](https://scholariq.org/papers/recurrent-neural-networks-for-multivariate-time-series-with-missing-values-2/)
- [Deep Learning for Health Informatics](https://scholariq.org/papers/deep-learning-for-health-informatics/)
- [Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records](https://scholariq.org/papers/deep-patient-an-unsupervised-representation-to-predict-the-future-of-patients/)
- [Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data](https://scholariq.org/papers/potential-biases-in-machine-learning-algorithms-using-electronic-health-record/)
- [<p>Taiwan’s National Health Insurance Research Database: past and future</p>](https://scholariq.org/papers/and-lt-p-and-gt-taiwan-s-national-health-insurance-research-database-past-and/)
- [Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations](https://scholariq.org/papers/machine-learning-and-prediction-in-medicine-beyond-the-peak-of-inflated/)
- [Artificial Intelligence in Precision Cardiovascular Medicine](https://scholariq.org/papers/artificial-intelligence-in-precision-cardiovascular-medicine/)
- [Predictive data mining in clinical medicine: Current issues and guidelines](https://scholariq.org/papers/predictive-data-mining-in-clinical-medicine-current-issues-and-guidelines/)
- [Big Data for Health](https://scholariq.org/papers/big-data-for-health/)
- [Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare](https://scholariq.org/papers/heart-disease-identification-method-using-machine-learning-classification-in-e/)
- [The coming of age of artificial intelligence in medicine](https://scholariq.org/papers/the-coming-of-age-of-artificial-intelligence-in-medicine/)
- [A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms](https://scholariq.org/papers/a-hybrid-intelligent-system-framework-for-the-prediction-of-heart-disease-using/)
- [A deep learning system for detecting diabetic retinopathy across the disease spectrum](https://scholariq.org/papers/a-deep-learning-system-for-detecting-diabetic-retinopathy-across-the-disease/)
- [Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting](https://scholariq.org/papers/developing-risk-prediction-models-for-type-2-diabetes-a-systematic-review-of/)

## Topic primary papers

Showing 15 of 133.

- [Prediction of Coronary Heart Disease Using Risk Factor Categories](https://scholariq.org/papers/prediction-of-coronary-heart-disease-using-risk-factor-categories/)
- [Predictive data mining in clinical medicine: Current issues and guidelines](https://scholariq.org/papers/predictive-data-mining-in-clinical-medicine-current-issues-and-guidelines/)
- [Big Data for Health](https://scholariq.org/papers/big-data-for-health/)
- [Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare](https://scholariq.org/papers/heart-disease-identification-method-using-machine-learning-classification-in-e/)
- [A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms](https://scholariq.org/papers/a-hybrid-intelligent-system-framework-for-the-prediction-of-heart-disease-using/)
- [Machine Learning Methods to Predict Diabetes Complications](https://scholariq.org/papers/machine-learning-methods-to-predict-diabetes-complications/)
- [PREDICTIVE ANALYSIS OF HEART DISEASES WITH MACHINE LEARNING APPROACHES](https://scholariq.org/papers/predictive-analysis-of-heart-diseases-with-machine-learning-approaches/)
- [Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning](https://scholariq.org/papers/artificial-intelligence-predicts-the-progression-of-diabetic-kidney-disease/)
- [Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives](https://scholariq.org/papers/medical-diagnostic-systems-using-artificial-intelligence-ai-algorithms/)
- [A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier](https://scholariq.org/papers/a-computer-aided-diagnostic-system-to-characterize-ct-focal-liver-lesions-design/)
- [Prediction of Heart Disease Using Deep Convolutional Neural Networks](https://scholariq.org/papers/prediction-of-heart-disease-using-deep-convolutional-neural-networks/)
- [Promises and Challenges of Big Data Computing in Health Sciences](https://scholariq.org/papers/promises-and-challenges-of-big-data-computing-in-health-sciences/)
- [Advanced machine learning techniques for cardiovascular disease early detection and diagnosis](https://scholariq.org/papers/advanced-machine-learning-techniques-for-cardiovascular-disease-early-detection/)
- [Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data](https://scholariq.org/papers/intelligent-machine-learning-approach-for-effective-recognition-of-diabetes-in-e/)
- [An AI-based intelligent system for healthcare analysis using Ridge-Adaline Stochastic Gradient Descent Classifier](https://scholariq.org/papers/an-ai-based-intelligent-system-for-healthcare-analysis-using-ridge-adaline/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.