This paper is in the following e-collection/theme issue:

Population and Public Health Informatics (107)

Published on in Vol 11, No 1 (2019):

A machine-learning algorithm to identify hepatitis C in health insurance claims data

A machine-learning algorithm to identify hepatitis C in health insurance claims data

A machine-learning algorithm to identify hepatitis C in health insurance claims data

Authors of this article:

Mohammed A. Khan1 ;   Jae Eui Soh1 ;   Matthew Maenner1 ;   William W. Thompson1 ;   Noele P. Nelson1
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Journals

  1. Chicco D, Jurman G. An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis. IEEE Access 2021;9:24485 View
  2. KARADAĞ K. KAN VERMEYE ELVERİŞLİ DONÖRLERİN MAKİNE ÖĞRENME YÖNTEMLERİ İLE TESPİTİ. Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi 2021;8(15):508 View
  3. Lilhore U, Manoharan P, Sandhu J, Simaiya S, Dalal S, Baqasah A, Alsafyani M, Alroobaea R, Keshta I, Raahemifar K. Hybrid model for precise hepatitis-C classification using improved random forest and SVM method. Scientific Reports 2023;13(1) View

Books/Policy Documents

  1. Kukkar A, Sandhu J. Data Science and Artificial Intelligence for Digital Healthcare. View
  2. Singh A, Kukkar A. Data Science and Artificial Intelligence for Digital Healthcare. View