Microsoft

Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators

Malnutrition is a leading cause of morbidity and mortality for children under-5 globally. Low- and middle-income countries, such as Kenya, bear the greatest burden of malnutrition. The Kenyan ...
GitHub

model-comparison-and-selection

This project investigates economic growth factors, specifically GDP, by applying ordinary least squares (OLS) and a more robust, proposed estimator. It includes data preparation, feature engineering ...
Engadget

DeepMind releases a new weather forecasting model for more accurate predictions

Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global ...
9to5google

WeatherNext 2 is Google’s most accurate forecasting model, now used by Pixel Weather & Search

Google DeepMind and Google Research today announced WeatherNext 2 as its “most advanced and efficient forecasting model.” Notably, it’s helping power forecasts in Google’s consumer apps, including ...
ahajournals.org

Age and Health Status Benefits Following Initiation of Atrial Fibrillation‐Specific Treatments

Atrial fibrillation (AF) is managed with various strategies, including rate and rhythm control, to improve patients' health status. Although its incidence increases with age, how age affects health ...
Scientific Research Publishing

Ottaviani, F.M. and Marco, A.D. (2022) Multiple Linear Regression Model for Improved Project Cost Forecasting. Procedia Computer Science, 196, 808-815.

ABSTRACT: Accurate forecasting of the system marginal price (SMP) is crucial to improve demand-side management and optimize power generation scheduling. However, predicting the SMP is challenging due ...
BMJ

Target trial emulation to replicate randomised clinical trials using registry data in multiple sclerosis

14 CHU de Strasbourg, Department of Neurology and Clinical Investigation Center, CIC 1434, INSERM 1434, Strasbourg, France 15 Sorbonne Universités, UPMC Paris 06, Brain and Spine Institute, ICM, ...
Frontiers

PSOA-LSTM: a hybrid attention-based LSTM model optimized by particle swarm optimization for accurate lung cancer incidence forecasting in China (1990–2021)

Background: Accurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking. Objective: This study proposes a ...
The Lancet

Evaluating the impact of two decades of USAID interventions and projecting the effects of defunding on mortality up to 2030: a retrospective impact evaluation and forecasting ...

The US Agency for International Development (USAID) is the largest funding agency for humanitarian and development aid worldwide. The aim of this study is to comprehensively evaluate the effect of all ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...