The application of artificial intelligence in health financing: a scoping review
M Ramezani, A Takian, A Bakhtiari, HR Rabiee… - Cost Effectiveness and …, 2023 - Springer
Abstract Introduction Artificial Intelligence (AI) represents a significant advancement in
technology, and it is crucial for policymakers to incorporate AI thinking into policies and to …
technology, and it is crucial for policymakers to incorporate AI thinking into policies and to …
Classification of the insureds using integrated machine learning algorithms: A comparative study
M Hanafy, R Ming - Applied Artificial Intelligence, 2022 - Taylor & Francis
With the growing number of insurance purchasers, the sophisticated claim analysis system
has become an imperative must for any insurance firm. Claims Analysis can be utilized to …
has become an imperative must for any insurance firm. Claims Analysis can be utilized to …
K-means clustering of outpatient prescription claims for health insureds in Iran
SS Momahhed, S Emamgholipour Sefiddashti… - BMC public health, 2023 - Springer
Objective The segmentation of consumers based on their behavior and needs is the most
crucial action of the health insurance organization. This study's objective is to cluster Iranian …
crucial action of the health insurance organization. This study's objective is to cluster Iranian …
Health Insurance Amount Prediction Using Supervised Learning
S Aggarwal - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Medical Insurance cost prediction is prime distress. A Medical Insurance company can only
make money if it collects quite it spends on the medical aid of its beneficiaries. Medical …
make money if it collects quite it spends on the medical aid of its beneficiaries. Medical …
Medical Insurance Cost Prediction Using Machine Learning Algorithms
Anmol, S Aggarwal, A Jahan Badhon - Cyber Technologies and Emerging …, 2022 - Springer
Medical Insurance cost prediction is prime distress. A Medical Insurance company can only
make money if it collects quite it spends on the medical aid of its beneficiaries. Medical …
make money if it collects quite it spends on the medical aid of its beneficiaries. Medical …
[PDF][PDF] FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data
In this work, we propose advancing ProtoNet that employs augmented latent features (LF) by
an autoencoder and multitasking generation (MG) by STUNT in the few-shot learning (FSL) …
an autoencoder and multitasking generation (MG) by STUNT in the few-shot learning (FSL) …
[图书][B] COVID 19–Monitoring with IoT Devices
A Nagaraj - 2023 - books.google.com
In the battle against the COVID-19 pandemic, the integration of Internet of Things (IoT)
technologies has played a pivotal role in reshaping public health and healthcare delivery …
technologies has played a pivotal role in reshaping public health and healthcare delivery …
K-means clustering of outpatient prescription claims for health insured in Iran
S Monahhed, SE Sefiddashti, B Minaei, Z Shahali - 2023 - researchsquare.com
Objective The segmentation of consumers based on their behavior and needs is the most
crucial action of the health insurance organization. This study's objective is to cluster Iranian …
crucial action of the health insurance organization. This study's objective is to cluster Iranian …
Performance Evaluation of Financial Industry Related Expense Forecasting Using Various Regression Algorithms for Machine Learning
L Yao, Y Lin, Y Mo, F Wang - Highlights in Science, Engineering and …, 2023 - drpress.org
Insurance costs refer to the fees charged by insurance companies to customers to pay for
possible risks and losses. Insurance costs are usually based on the personal information of …
possible risks and losses. Insurance costs are usually based on the personal information of …
[PDF][PDF] IMPLEMENTATION OF PREDICTING MEDICAL INSURANCE COST WITH MACHINE LEARNING TECHNIQUES
GSUK Babu, UU Veerendra… - MATERIAL …, 2020 - materialsciencetech.com
With health insurance, the financial risk of unexpected medical costs is distributed among
many people, reducing the amount of money at risk. Global public health expenditure has …
many people, reducing the amount of money at risk. Global public health expenditure has …