Results 51 to 60 of about 25,650,228 (201)

ClaimsKG - A Knowledge Graph of Fact-Checked Claims (January, 2023)

open access: yes, 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.

open access: yesPLoS ONE, 2020
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]

open access: yesThe Korean Journal of Helicobacter and Upper Gastrointestinal Research, 2022
Su Bee Park, Jae Myung Cha
doaj   +1 more source

Governmentality in construction claim management: Role of smart data initiatives

open access: yesProject Leadership and Society
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

open access: yesCoRR, 2020
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]

open access: yesMathematics and Modeling in Finance
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'*'.

open access: yes, 2022
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

open access: yes, 1918
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  

Evaluation of claim submission and returning for BPJS inpatient services: a case study of hospital X in 2017

open access: yesHealth Science Journal of Indonesia, 2019
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]

open access: yes, 2005
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

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