Results 51 to 60 of about 25,650,228 (201)
ClaimsKG - A Knowledge Graph of Fact-Checked Claims (January, 2023)
ClaimsKG is a knowledge graph of metadata information for fact-checked claims scraped from popular fact-checking sites. In addition to providing a single dataset of claims and associated metadata, truth ratings are harmonized and additional information ...
Schellhammer, Sebastian, GESIS - Leibniz-Institut f\ufcr Sozialwissenschaften +9 more
core +2 more sources
Stochastic gradient boosting frequency-severity model of insurance claims.
The standard GLM and GAM frequency-severity models assume independence between the claim frequency and severity. To overcome restrictions of linear or additive forms and to relax the independence assumption, we develop a data-driven dependent frequency ...
Xiaoshan Su, Manying Bai
doaj +1 more source
The Basic Concept of Claim Data-based Research [PDF]
Su Bee Park, Jae Myung Cha
doaj +1 more source
Governmentality in construction claim management: Role of smart data initiatives
Despite efforts to identify and prevent causes, construction claims remain inevitable and repetitive. Therefore, focus has shifted to managing claims with systematic processes, yet challenges related to claim preparation persist.
Joseph Awed, Alireza Ahmadian Fard Fini
doaj +1 more source
Deep Claim: Payer Response Prediction from Claims Data with Deep Learning
Each year, almost 10% of claims are denied by payers (i.e., health insurance plans). With the cost to recover these denials and underpayments, predicting payer response (likelihood of payment) from claims data with a high degree of accuracy and precision is anticipated to improve healthcare staffs' performance productivity and drive better patient ...
Byung-Hak Kim +3 more
openaire +3 more sources
Mitigating data imbalance for enhanced third-party insurance claim prediction using machine learning [PDF]
Accurate prediction of third-party insurance claims is critical for pricing policies and managing risk. However, the highly imbalanced nature of insurance data—where non-claim cases vastly outnumber claim cases—poses significant challenges to standard ...
Maryam Esna-Ashari +3 more
doaj +1 more source
Baseline data for closed-claim cases and reported casesb'*'.
Baseline data for closed-claim cases and reported casesb'*'.
Naofumi Fujishiro (11944081) +5 more
core +1 more source
Minutes of the Railway Claim Agents Association of Texas
Minutes taken of the sixth annual meeting of the Railway Claim Agents Association.Three blank pages in the back of the book were not ...
Railway Claim Agents Association of Texas
core
Latar belakang: Keterlambatan dan ketidaklengkapan pengajuan klaim menyebabkan keterlambatan pembayaran klaim yang akan berdampak pada arus kas rumah sakit (RS).
Cicih Opitasari, Nurhayati Nurhayati
doaj +1 more source
A Comparison of Risk Classification Methods for Claim Severity Data [PDF]
The objective of this article is to compare several risk classification methods for claim severity data by using weighted equation which is written as a weighted difference between the observed and fitted values.
Noriszura Ismail +3 more
core +1 more source

