ascopubs.org

Development of a Machine Learning‑Based Prognostic Model for Intermediate Trophoblastic Tumors: A Single-Center Study With Web-Based Tool Implementation

Liquid Biopsy Monitoring in BRAF V600E–Mutated Patients With Non–Small Cell Lung Cancer Treated With Dabrafenib Plus Trametinib: The Prospective, Multicenter LiBRA Study (GOIRC-03-2020) We analyzed a ...

The Algorithm That Counted On No One Appealing

A federal court ordered UnitedHealth to reveal how its nH Predict claims algorithm worked. The lawsuit’s real story is the ...
IEEE

Early Detection of Coronary Heart Disease Using Exploration Data Analysis and Gradient Boosting Method

Abstract: Coronary heart disease is a significant global health issue that contributes to high morbidity and mortality rates, including in Indonesia. Public awareness of risk factors for heart disease ...
Frontiers

Research on predicting risk factors for re-bleeding in the acute phase of intracerebral hemorrhage using machine learning algorithms

16 ). This study aimed to collect clinical data, screen reliable variables using Lasso regression, and integrate multiple statistical and machine learning methods to systematically identify risk ...
GitHub

mnemonic_words_v3.html

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...