Internet Search Results
Deep-Risk: Deep Learning-Based Mortality Risk Predictive Models for ...
The SARS-CoV-2 virus has proliferated around the world and caused panic to all people as it claimed many lives. Since COVID-19 is highly contagious and spreads quickly, an early diagnosis is essential. Identifying the COVID-19 patients’ mortality risk factors is essential for reducing this risk among infected individuals. For the timely examination of large datasets, new computing ...
Artificial Intelligence: The Future for Diabetes Care - PubMed
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms to support predictive models for the risk of developing diabetes or its consequent complications.
Microsoft Azure AI Fundamentals: Explore visual tools for machine ...
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models.
PROMISE Software Engineering Repository - University of Ottawa
Here you will find a collection of publicly available datasets and tools to serve researchers in building predictive software models (PSMs) and software engineering community at large. The repository is created to encourage repeatable, verifiable, refutable, and/or improvable predictive models of software engineering.
Predictive models for splenic response to JAK-inhibitor therapy in ...
Introduction. Myelofibrosis (MF) is a BCR-ABL1-negative myeloproliferative neoplasm characterized by megakaryocytic proliferation and atypia, and ineffective erythropoiesis .Patients may present with constitutional symptoms, including fever, night sweats, pruritus, early satiety, and bone pain .The median overall survival in MF ranges from 16 to 185 months, depending on the patient’s ...
Create predictive models in R with Caret | by Luiz Fonseca | Towards ...
Create predictive models in R with Caret. Caret is the short for Classification And REgression Training. It is a complete package that covers all the stages of a pipeline for creating a machine learning predictive model. In this tutorial, I will explain the following topics:
The Healthy Brain Network is a landmark mental health study
With a goal of 10,000 participants, the Healthy Brain Network needs your help in connecting with families who may benefit from a no-cost mental health and learning evaluation.
StatSoft Polska – Lider w analityce danych
Nasza znana na całym świecie linia produktów Statistica obejmuje pakiety statystyczne i data mining oraz korporacyjne platformy analityczne i big data. Oferują one bardzo szeroki zestaw nowoczesnych, łatwych w użyciu narzędzi analitycznych, wysokiej jakości wizualizację danych, wygodne zarządzanie danymi i wynikami analiz.
COVID-19 Projections - Institute for Health Metrics and Evaluation
IHME updates its COVID-19 models and forecasts on a monthly basis. In the meantime, our researchers will keep track of any developments that might require more frequent updates.
Statistics and Machine Learning Toolbox - MATLAB - MathWorks
You can apply interpretability techniques such as partial dependence plots, Shapley values and LIME, and automatically generate C/C++ code for embedded deployment. Native Simulink blocks let you use predictive models with simulations and Model-Based design. Many toolbox algorithms can be used on data sets that are too big to be stored in memory.