AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The length of stay (LOS) in a hospital , or the number of days from a patient’s admission to release, serves as a strong indicator of both medical and financial efficiency. Source: Intel.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

RandomTrees

JUNE 24, 2024

Fig: 1: Image Annotation Challenges of manual Annotation Complications in manually annotating visual data: It is Time-consuming and labor-intensive, especially for large datasets. Scalability limitations which make it impractical for large datasets. Initially, we used a custom dataset focused on potholes.

Medical 52

Medical Machine Learning Datasets Retail 52

Knowledge Hut

JULY 4, 2023

Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection. And is used in a wide variety of applications, including image processing, speech recognition, and medical diagnosis.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

U-Next

MARCH 1, 2023

Datasets are obtained, and forecasts are made using a regression approach. Applications Online Realtors Heart Disease Prognosis This project is helpful from a medical aspect because it is intended to offer online medical advice and direction to those with cardiac issues.

Project 96

Project Medical Banking Healthcare 96

Scott Logic

SEPTEMBER 13, 2024

They are trained on large datasets to recognise patterns and make predictions or decisions based on new information. During the model evaluation phase (validation mode), we will use a labelled dataset of emails to calculate metrics like accuracy, precision and recall. At their core, ML models learn from data.

Medical 52

Medical Hospitality Datasets Machine Learning 52

RandomTrees

JANUARY 29, 2024

Machine learning models rely heavily on large and diverse datasets to train and improve their ability to understand and interpret visual information. From recognizing faces and detecting objects to navigating autonomous vehicles and dissecting medical images, its applications span a wide spectrum.

Medical 52

Medical Retail Entertainment Datasets 52

Cloudera

SEPTEMBER 15, 2021

Consider the potentially catastrophic outcome of two autonomous vehicles on a collision course or taking a beat too long to act on an alert from an implanted medical device. . As Bernard Marr , a futurist and technology consultant, explained in a Cloudera digital event , that today’s datasets have a short shelf life.

Medical 119

Medical Retail Datasets Algorithm 119

Knowledge Hut

OCTOBER 27, 2023

Data analytics projects involve using statistical and computational techniques to analyse large datasets with the aim of uncovering patterns, trends, and insights. These datasets can be used to explore a wide range of research topics, including healthcare, finance, marketing , and social media. Let’s delve deep to understand it.

Data Analytics 52

Data Analytics Coding Project Medical 52

Snowflake

OCTOBER 17, 2024

CHG Healthcare , a healthcare staffing company with over 45 years of industry expertise, uses AI/ML to power its workforce staffing solutions across 700,000 medical practitioners representing 130 medical specialties. CHG builds and productionizes its end-to-end ML models in Snowflake ML.

Food 94

Food Medical Healthcare AWS 94

Knowledge Hut

JUNE 4, 2024

For example, if a patient has been using a certain medication for a long time and has not caused any side effects yet, then it might be safe for that patient to continue using this medication. Analysing medical images has been proven to identify the tiniest microscopic defects.

Pharmaceutical 52

Pharmaceutical Data Science Medical Deep Learning 52

Striim

JULY 18, 2024

Emerging technology and the utilization of real-time data enable medical professionals to monitor a patient’s prognosis quickly and with minimal interruption. The best part is that it enables prompt intervention, allowing medical professionals to take a proactive rather than reactive approach to healthcare.

Healthcare 52

Healthcare Medical Hospitality Algorithm 52

Knowledge Hut

JANUARY 12, 2024

The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. variables) in a particular dataset while retaining most of the data. They make predictions based upon the probability that a new input dataset belongs to each class.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

Knowledge Hut

DECEMBER 27, 2023

Medical Image Analysis Data science applications in healthcare or Medical science have several uses. Analyzing medical images is one of them. With more datasets and photos, clinicians will soon be able to diagnose patients more accurately with the help of machine learning.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Knowledge Hut

MAY 3, 2024

Types of Machine Learning: Machine Learning can broadly be classified into three types: Supervised Learning: If the available dataset has predefined features and labels, on which the machine learning models are trained, then the type of learning is known as Supervised Machine Learning. A sample of the dataset is shown below.

Machine Learning 98

Machine Learning Algorithm Datasets Medical 98

AltexSoft

APRIL 27, 2023

This phase involves numerous clinical trial systems and largely relies on clinical data management practices to organize information generated during medical research. For example, researchers may employ ML to analyze demographics, medical histories, genetic makeup, and other data to find and choose trial participants.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Knowledge Hut

AUGUST 1, 2023

Machine Learning and the Internet of Medical Things in Healthcare The healthcare industry is being revolutionized through the utilization of machine learning and the Internet of Medical Things (IoMT). Benefits of Machine Learning in Healthcare Machine learning in the medical field has revolutionized the way healthcare is delivered.

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

Precisely

MARCH 7, 2024

From documenting losses and damages to verifying that a claim submission meets all the necessary criteria, each step requires meticulous attention to detail and often entails reviewing lengthy narrative documents such as accident reports, medical records, and legal demands letters.

Insurance 72

Insurance Process Medical Data Governance 72

RandomTrees

MARCH 27, 2024

It functions as an inventive mind, drawing motivation from immense datasets to create imaginative results that push the limits of the human imagination. From art and design to gaming, medical care and automotive , generative AI is revolutionizing different businesses, offering new opportunities for expression and investigation.

IT 52

IT Medical Entertainment Healthcare 52

Monte Carlo

JULY 30, 2024

Even if an incorrect diagnosis was made, you would still want that to remain on the record (along with the correct updated diagnoses) so a medical professional could understand the full history, and context of a patient’s journey.

Data Validation 52

Data Validation Datasets Medical Raw Data 52

Knowledge Hut

APRIL 23, 2024

Data Types Big Data Data Mining Big data refers to robust and complicated datasets that require a high level of expertise and tools for managing, processing, or analyzing. View Big Data Data Mining Big data takes a broader view, considering large-scale datasets from various sources. Data mining takes a narrower view.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Knowledge Hut

JANUARY 18, 2024

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. R has become increasingly popular among data scientists because of its ease of use and flexibility in handling complex analyses on large datasets.

Programming Language 98

Programming Language Data Science Programming Java 98

Edureka

JULY 4, 2024

Best Practices for Narrow AI Development Data Quality Assurance Data Quality Assurance uses rigorous validation and verification to ensure AI dataset quality, completeness, and dependability. Purifying datasets helps businesses eliminate bias and ensure AI models appropriately reflect real-world circumstances. Where is narrow AI used?

Medical 40

Medical Algorithm Datasets Healthcare 40

Edureka

AUGUST 29, 2024

To further comprehend the dataset, do the exploratory data analysis. Use the training dataset to coach the model when it’s been chosen. Use the testing dataset to assess the model’s performance after training. Choosing the proper algorithms for your particular dataset is a crucial additional factor to believe.

Data Science 40

Data Science Medical Algorithm Datasets 40

Knowledge Hut

JULY 28, 2023

Machine learning offers scalability and efficiency, processing large datasets quickly. A dataset's anomalies may provide valuable information about inconsistencies, mistakes, fraud, or unusual events. Global or Point Outliers: These anomalies are discrete data points that stand out from the rest of the dataset in a significant way.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Towards Data Science

AUGUST 29, 2023

Today, we will delve into the intricacies the problem of missing data , discover the different types of missing data we may find in the wild, and explore how we can identify and mark missing values in real-world datasets. Image by Author. Let’s consider an example. Image by Author. Image by Author. Image by Author.

Datasets 103

Datasets Machine Learning Data Data Science 103

Knowledge Hut

NOVEMBER 18, 2023

They are very good at activities such as object recognition, facial recognition, and even detecting anomalies in medical photos. In dealing with a small dataset as well as swimming in the ocean of information, they become comfortable and remAIn consistent. They keep growing as your business expands.

Medical 52

Medical Machine Learning Algorithm Datasets 52

ProjectPro

OCTOBER 14, 2021

The publicly available Kaggle dataset of the Tesla Stock Data from 2010 to 2020 can be used to implement this project. Maybe you could even consider gathering more data from the source of the Tesla Stock dataset. You could undertake this exercise using the publicly available Cervical Cancer Risk Classification Dataset.

Machine Learning 52

Machine Learning Project Insurance Medical 52

Scott Logic

NOVEMBER 24, 2023

Decision trees are simple structures which go through a dataset and pose yes or no questions about its content. From asking these binary questions, the decision tree allows us to get an idea of which features split the dataset most effectively. Most often, the goal is to predict a target feature of the dataset based on the rest.

Datasets 52

Datasets Machine Learning Deep Learning Medical 52

RandomTrees

MARCH 22, 2024

Address Parsing : In datasets containing addresses stored as delimited strings (e.g., Financial Transactions : Financial datasets may contain transaction details such as transaction types, categories, and amounts stored in delimited string columns.

Media 52

Media Healthcare Datasets Electronics 52

Knowledge Hut

JULY 26, 2023

Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods. Outliers or Anomalies: Outliers are data points that significantly deviate from the normal pattern or distribution of the dataset. What is Big Data?

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Edureka

JUNE 7, 2024

These models are trained on vast datasets which allow them to identify intricate patterns and relationships that human eyes might overlook. In healthcare, generative AI can assist in medical image analysis and report writing, while predictive models forecast patient outcomes. And that’s the tip of the iceberg of possibilities.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

RandomTrees

AUGUST 9, 2024

Predictive Modeling and Virtual Screening Machine learning models trained on vast datasets can predict the biological activity and safety profiles of new compounds. Through algorithms, it can be possible to design drugs that have ADME profiles that are well-optimized.

Pharmaceutical 52

Pharmaceutical Healthcare Algorithm Machine Learning 52

U-Next

NOVEMBER 25, 2022

Together they can help machines learn how to recognize patterns in complex datasets and make valuable predictions. Doctors now have vast amounts of patient data thanks to modern medical technology. Machine Learning algorithms are trained on large datasets to make more accurate predictions.

Machine Learning 52

Machine Learning Big Data Deep Learning Algorithm 52

Knowledge Hut

NOVEMBER 16, 2023

Interpret medical images and documentation Generative AI can be trained to interpret medical images and documentation, providing insights that assist in diagnosis and treatment planning. Thus, AI is able to analyze medical images like X-rays, MRIs, and CT scans to detect anomalies.

Medical 52

Medical Healthcare Hospitality Entertainment 52

AltexSoft

MAY 12, 2022

For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning. You have three options to obtain data to train machine learning models: use free sound libraries or audio datasets, purchase it from data providers or collect it involving domain experts.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

Monte Carlo

OCTOBER 5, 2023

Healthcare institutions sharing data with medical researchers Medical researchers access patient data without exposing sensitive personal information, enabling studies on large datasets while preserving patient privacy.

Raw Data 52

Raw Data Medical Manufacturing AWS 52

Edureka

JULY 4, 2024

Contrasted with fine-tuning, the retraining of the full model on a specific dataset, prompt tuning does not change the parameters of the pre-trained model. Prepare training data: Create a dataset representative of that task or application for which you wish to optimize your model. But keep the weights from the pre-trained model frozen.

IT 40

IT Datasets Medical Engineering 40