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250k Medicines Usage, Side Effects And Substitutes

Comprehensive collection of medical drugs info worldwide from various sources.

@kaggle.shudhanshusingh_250k_medicines_usage_side_effects_and__b5db66fe

About this Dataset

250k Medicines Usage, Side Effects And Substitutes

This dataset contains comprehensive information on over 248,000 medical drugs from all manufacturers available worldwide. The data includes details such as drug names, active ingredients, therapeutic uses, dosage, side effects, and substitutes. The dataset aims to provide a useful resource for medical researchers, healthcare professionals, and drug manufacturers.

The dataset contains the following information for each drug:

  1. Drug name
  2. Adverse reactions and side effects
  3. Drug interactions
  4. Drug class
  5. Substitute drugs
  6. Active ingredients [Available in previous dataset published by us. Link added Below]

Dataset Related Info.:

  1. There are total of 5 substitutes columns in the dataset.
  2. There are total of 41 Side Effects columns in the dataset. Drugs with less side effects have those columns as blank.
  3. There are total of 5 usage columns in the dataset.
  4. Rest Columns have their own individual identity.

Substitute : It indicates that whatever is the name of the medicine, if the consumer want's to know alternative medicine that have same compositions but manufactured by different manufacturers. So we have provided 5 substitutes for each drug/medicine.

Therapeutic Class : It is a way of classifying medical drugs according to their functions. Each therapeutic class is a group of similar medications classified together because they are intended to treat the same medical conditions. for eg.: Respiratory is one of the class, so all medication treating this illness comes under the same class.

Action Class : It is the way of classifying medications based on actions they perform such as "H2 Receptor Blocker" It Block H2 receptors in parietal cells of the stomach → decrease gastric acid secretion. So drugs with similar action are grouped under "H2 Receptor Blocker".

Chemical Class : As name suggests, it is grouping based on chemical compound used.

Habit Forming : It is classified as YES or NO. It is defined as the process of forming a habit, referring generally to psychological dependence on the continued use of a drug to maintain a sense of well-being, which can result in drug addiction. If there are chances of drug addiction, then it is set to YES otherwise NO.

Similar Dataset that has market based information & Compositions of each drug :
https://www.kaggle.com/datasets/shudhanshusingh/az-medicine-dataset-of-india

Important Info.:

The dataset can be used for various purposes such as drug research and development, pharmacovigilance, clinical trials, and drug safety analysis.

Announcement :
I have released a new dataset on Real Estate Properties , if you are interested must checkout here: https://www.kaggle.com/datasets/shudhanshusingh/real-estate-properties-dataset ,If you liked it, do give an upvote :)

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