Exploring the Accuracy of Differentiation-Based Regressive Models in Disease Forecasting
Karimirad, R.
Show abstract
Predictive models have been able to foresee outbreaks of mosquito-borne diseases such as malaria and map Ebola outbreaks1. This has allowed health organizations to plan the amount of resources and the number of healthcare workers needed more effectively, on top of finding out other useful data such as the locations most vulnerable to the disease and the demographics most affected. It can therefore be assumed that predictive analytics can reduce the amount of economic and non-economic burden caused by other epidemics as well, with COVID-19 being an obvious example.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Prediction of Sepsis Mortality in ICU Patients Using Machine Learning Methods 95%
- Combining symbolic regression with the Cox proportional hazards model improves prediction of heart failure deaths 95%
- On the predictability of postoperative complications for cancer patients: a Portuguese cohort study 94%
Similar papers in this journal
- Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction 93%
- Predictive Model with Analysis of the Initial Spread of COVID-19 in India 93%
- Image and structured data analysis for prognostication of health outcomes in patients presenting to the Emergency Department during the COVID-19 pandemic 92%
Similar papers in this journal
- A new, simple method of describing COVID-19 trajectory and dynamics in any country based on Johnson Cumulative Distribution Function fitting 95%
- A Comprehensive County Level Framework to Identify Factors Affecting Hospital Capacity and Predict Future Hospital Demand 95%
- Comparing protein-protein interaction networks of SARS-CoV-2 and (H1N1) influenza using topological features 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.