Application of Ensemble Methods in Medical Diagnosis
R Shree, S Madagaonkar, LA Prateek, A Tony… - … on Innovations in Data …, 2022 - Springer
Medical diagnoses with machine learning faces challenges of a high false negative rate,
which can pose a threat to patients' lives. Moreover, ML solutions tend to be less robust to …
which can pose a threat to patients' lives. Moreover, ML solutions tend to be less robust to …
[图书][B] Addressing Highly Imbalanced Big Data Challenges for Medicare Fraud Classification
JM Johnson - 2022 - search.proquest.com
Access to affordable healthcare is a nationwide concern that impacts most of the United
States population. Medicare is a federal government healthcare program that aims to …
States population. Medicare is a federal government healthcare program that aims to …
[PDF][PDF] Avoiding Overfitting dan Overlapping in Handling Class Imbalanced Using Hybrid Approach with Smoothed Bootstrap Resampling and Feature Selection
E Ongko - baraka.uma.ac.id
The dataset tends to have the possibility to experience imbalance as indicated by the
presence of a class with a much larger number (majority) compared to other classes …
presence of a class with a much larger number (majority) compared to other classes …
Application of Ensemble Methods in Medical Diagnosis Check for updates
R Shree, S Madagaonkar, LA Prateek… - Innovations in Data …, 2023 - books.google.com
Medical diagnoses with machine learning faces challenges of a high false negative rate,
which can pose a threat to patients' lives. Moreover, ML solutions tend to be less robust to …
which can pose a threat to patients' lives. Moreover, ML solutions tend to be less robust to …
Challenges in developing and validating machine learning models for transcatheter aortic valve implantation mortality risk prediction
S Kazemian, M Issaiy, K Hosseini - 2023 - europepmc.org
Challenges in developing and validating machine learning models for transcatheter aortic
valve implantation mortality risk prediction - Abstract - Europe PMC Sign in | Create an …
valve implantation mortality risk prediction - Abstract - Europe PMC Sign in | Create an …
Challenges in developing and validating machine learning models for transcatheter aortic valve implantation mortality risk prediction
S Kazemian, M Issaiy, K Hosseini - European Heart Journal …, 2024 - academic.oup.com
Challenges in developing and validating machine learning models for transcatheter aortic valve
implantation mortality risk predi Page 1 Challenges in developing and validating machine …
implantation mortality risk predi Page 1 Challenges in developing and validating machine …
[PDF][PDF] Addressing Highly Imbalanced Big Data Challenges for Medicare
JM Johnson - Neural Networks, 1993 - fau.digital.flvc.org
Fraud Detection Institution: Florida Atlantic University Dissertation Advisor: Dr. Taghi M.
Khoshgoftaar Degree: Doctor of Philosophy Year: 2022 Access to affordable healthcare is a …
Khoshgoftaar Degree: Doctor of Philosophy Year: 2022 Access to affordable healthcare is a …
[引用][C] 고객행동분석에서의불균형데이터를위한비용민감학습방법
박은비， 고영명 - 대한산업공학회추계학술대회논문집, 2023 - dbpia.co.kr
고객 행동 분석에서의 불균형 데이터를 위한 비용 민감 학습 방법 Page 1 2023 대한산업공학회
추계학술대회 고객 행동 분석에서의 불균형 데이터를 위한 비용 민감 학습 방법 (Cost-sensitive …
추계학술대회 고객 행동 분석에서의 불균형 데이터를 위한 비용 민감 학습 방법 (Cost-sensitive …