Graph and download economic data for Nasdaq US Benchmark Health Care Total Return Index (NASDAQNQUSB20T) from 2011-05-24 to 2026-02-27 about healthcare, NASDAQ, health, indexes, and USA.

Graph and download economic data for Nasdaq US Benchmark Medical Services Index (NASDAQNQUSB20102020) from 2020-09-22 to 2026-02-27 about medical, NASDAQ, services, indexes, and USA.

An index that measures similarity among U.S. hospitals using multi-factor features including Medicare Case Mix Index, total beds, UnitedHealthcare negotiated rate for MS-DRG 470 (knee or hip replacement), competitive and financial scores, and market characteristics to reveal true peer sets and competitive benchmarks.

Graph and download economic data for Nasdaq US Benchmark Medical Equipment Net Total Return Index (NASDAQNQUSB20102010N) from 2012-12-03 to 2026-02-27 about medical, NASDAQ, equipment, indexes, and USA.

United States NASDAQ: Index: NASDAQ US Benchmark Medical Supplies Index data was reported at 2,862.590 NA in Dec 2025. This records an increase from the previous number of 2,856.880 NA for Nov 2025. United States NASDAQ: Index: NASDAQ US Benchmark Medical Supplies Index data is updated monthly, averaging 2,616.750 NA from Jan 2012 (Median) to Dec 2025, with 168 observations. The data reached an all-time high of 5,180.320 NA in Dec 2021 and a record low of 926.530 NA in May 2012. United States NASDAQ: Index: NASDAQ US Benchmark Medical Supplies Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Monthly.

Graph and download economic data for Nasdaq US Benchmark Medical Equipment Total Return Index (NASDAQNQUSB20102010T) from 2011-06-07 to 2026-02-27 about medical, NASDAQ, equipment, indexes, and USA.

Graph and download economic data for Nasdaq US Benchmark Medical Supplies Total Return Index (NASDAQNQUSB20102015T) from 2011-06-07 to 2026-02-27 about medical, supplies, NASDAQ, indexes, and USA.

United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Medical Equipment Index data was reported at 5,677.080 NA in Jan 2026. This records a decrease from the previous number of 5,839.770 NA for Dec 2025. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Medical Equipment Index data is updated monthly, averaging 3,514.070 NA from Dec 2012 (Median) to Jan 2026, with 158 observations. The data reached an all-time high of 6,049.700 NA in Nov 2025 and a record low of 1,031.450 NA in Dec 2012. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Medical Equipment Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Net Total Return: Monthly.

The Invesco Dorsey Wright Healthcare Momentum ETF (Fund) is based on the Dorsey Wright Healthcare Technical Leaders Index (Index). The Fund will normally invest at least 90% of its total assets in the securities that comprise the Index. The Index is designed to identify companies that are showing relative strength (momentum), and is composed of at least 30 securities from the NASDAQ US Benchmark Index. Relative strength is the measurement of a security's performance in a given universe over time as compared to the performance of all other securities in that universe. The Fund and the Index are rebalanced and reconstituted quarterly.

Dataset Description

The Healthcare Insurance Dataset contains structured data describing how individual characteristics and lifestyle factors influence medical insurance costs. It captures demographic information, health-related indicators, family coverage details, and geographic region alongside the corresponding insurance charges.

This dataset is widely used for regression analysis, predictive modeling, and exploratory data analysis. It is particularly suitable for studying how factors such as age, body mass index (BMI), and smoking habits impact healthcare expenses. The dataset can be applied in machine learning projects focused on cost prediction, risk assessment, and healthcare analytics.

Key Features

• Clean and structured tabular dataset
• Mix of categorical and numerical variables
• Suitable for regression and predictive modeling
• Useful for feature importance analysis
• Common benchmark dataset for healthcare cost prediction
• Ready for exploratory data analysis and visualization

About Columns

This Dataset is no actual new study but the Yeast Gold Standard benchmark dataset used in the PIA manuscript.

Abstract: The integration of neural-network-based systems into clinical practice is limited by challenges related to domain generalization and robustness. The computer vision community established benchmarks such as ImageNet-C as a fundamental prerequisite to measure progress towards those challenges. Similar datasets are largely absent in the medical imaging community which lacks a comprehensive benchmark that spans across imaging modalities and applications. To address this gap, we create and open-source MedMNIST-C, a benchmark dataset based on the MedMNIST+ collection, covering 12 datasets and 9 imaging modalities. We simulate task and modality-specific image corruptions of varying severity to comprehensively evaluate the robustness of established algorithms against real-world artifacts and distribution shifts. We further provide quantitative evidence that our simple-to-use artificial corruptions allow for highly performant, lightweight data augmentation to enhance model robustness. Unlike traditional, generic augmentation strategies, our approach leverages domain knowledge, exhibiting significantly higher robustness when compared to widely adopted methods. By introducing MedMNIST-C and open-sourcing the corresponding library allowing for targeted data augmentations, we contribute to the development of increasingly robust methods tailored to the challenges of medical imaging. The code is available at github.com/francescodisalvo05/medmnistc-api.

This work has been accepted at the Workshop on Advancing Data Solutions in Medical Imaging AI @ MICCAI 2024 [preprint].

Note: Due to space constraints, we have uploaded all datasets except TissueMNIST-C. However, it can be reproduced via our APIs.

Usage: We recommend using the demo code and tutorials available on our GitHub repository.

Citation: If you find this work useful, please consider citing us:

@article{disalvo2024medmnist,
 title={MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions},
 author={Di Salvo, Francesco and Doerrich, Sebastian and Ledig, Christian},
 journal={arXiv preprint arXiv:2406.17536},
 year={2024}
}

Disclaimer: This repository is inspired by MedMNIST APIs and the ImageNet-C repository. Thus, please also consider citing MedMNIST, the respective source datasets (described here), and ImageNet-C.

United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Health Care Facilities Index data was reported at 2,746.490 NA in Dec 2025. This records a decrease from the previous number of 2,959.980 NA for Nov 2025. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Health Care Facilities Index data is updated monthly, averaging 1,779.120 NA from Sep 2020 (Median) to Dec 2025, with 64 observations. The data reached an all-time high of 2,959.980 NA in Nov 2025 and a record low of 948.170 NA in Sep 2020. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Health Care Facilities Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Net Total Return: Monthly.

This dataset is no actual new study but the iPRG2008 benchmark dataset used in the PIA manuscript.

An interactive data tool published in 2022 that explores which U.S. markets are most similar, determining relevant growth, economic, demographic, consumer and competition peers to power evidence-based strategies.

PathoROB

Preprint | Code | Licenses | Cite PathoROB is a benchmark for the robustness of pathology foundation models (FMs) to non-biological medical center differences.

PathoROB contains four datasets covering 28 biological classes from 34 medical centers and three metrics:

Robustness Index: Measures the dominance of biological over non-biological features in an FM representation space. Average Performance Drop (APD): Measures the robustness of downstream models to shortcut… See the full description on the dataset page: https://huggingface.co/datasets/bifold-pathomics/PathoROB-camelyon.

NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Health Care Index data was reported at 5,221.670 NA in Jan 2026. This records a decrease from the previous number of 5,235.740 NA for Dec 2025. NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Health Care Index data is updated monthly, averaging 4,346.130 NA from Jun 2017 (Median) to Jan 2026, with 104 observations. The data reached an all-time high of 5,317.700 NA in Nov 2025 and a record low of 2,469.750 NA in Jun 2017. NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Health Care Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Net Total Return: Monthly.

Introduction

This folder holds the necessary scripts to download the necessary corpora and create indices for more efficient document retrieval for the FedRAG workflow. The corpora listed below were derived from the MedRAG Toolkit [1]. The currently supported corpora are:

Corpus Size

Doc.

Snippets

Domain

StatPearls [3] ~2GBs 9.3k 301.2k Clinics

Textbooks [4] ~209MBs 18 125.8k Medicine

For index generation we use the FAISS library.

  QA Benchmark Datasets… See the full description on the dataset page: https://huggingface.co/datasets/khoaguin/medical-corpus.

Graph and download economic data for Nasdaq US Benchmark Health Care Management Services Index (NASDAQNQUSB20101020) from 2011-06-06 to 2026-02-27 about management, healthcare, NASDAQ, health, services, indexes, and USA.

This Dataset is no actual new study but the mouse benchmark dataset used in the PIA manuscript.