Top 10 Health Care AI Tools
Category: AI, Data Science
1. IBM Watson for Oncology is a cloud-based AI platform that helps oncologists make more informed treatment decisions for cancer patients. It uses machine learning to analyze patient data, including tumor genomics, medical history, and treatment response, to identify the best course of treatment. IBM Watson for Oncology healthcare AI tool 2. Google DeepMind Health is a research team that is developing AI tools to improve the diagnosis and treatment of diseases. One of their projects, Streams,
Sure, let’s walk through an example of a t-test. Let’s say we’re working with a software company that claims the average load time for its website is 3 seconds. We think it might be longer, so we collect load times from a sample of 15 different networks. The sample data we collected is as follows: \text{{load_times}} = [3.6, 3.9, 4.1, 3.7, 3.2, 3.1, 3.5, 3.8, 3.7, 3.3, 3.4, 3.9, 3.6, 3.2, 3.5] Our null hypothesis
Sure, let’s walk through an example of a Z-test. Imagine we’re working for a company that manufactures light bulbs. The company claims that its light bulbs have an average lifespan of 1,500 hours. We suspect this might not be accurate, so we conduct a test. We take a sample of 50 light bulbs and find that the average lifespan is 1,480 hours with a standard deviation of 100 hours. Our null hypothesis, H0, is that
Hypothesis testing is a statistical method used to make inferences or draw conclusions about a population based on a sample of data. It’s a key component of many scientific studies, business models, and other scenarios where making decisions based on data is necessary. The process of hypothesis testing typically involves the following steps: Formulate the null hypothesis (H0) and the alternative hypothesis (Hα): The null hypothesis is usually a statement of no effect or no
Table of Contents Toggle IntroductionWhat is Hypothesis Testing?Inferential Statistics Definition5 Steps taken to Conduct a Hypothesis Testing Introduction Hypothesis testing is one of the most important techniques applied in various fields such as statistics, economics, pharmaceutical, mining and manufacturing industries. Suppose we want to know if something took place if certain medicines are effective, if groups differ from each other or if one variable predicts another variable. Source: ety.com All in all, we