Full feature selection for estimating KAP radiation dose in coronary angiographies and percutaneous coronary interventions

Suomi, Visa; Järvinen, Jukka; Kiviniemi, Tuomas; Ylitalo, Antti; Pietilä, Mikko

doi:10.1016/j.compbiomed.2020.103725

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…Our study showed that male patients received significantly higher radiation doses than female patients in abdominal and head CBCT scans. Previous studies have attributed this difference to higher body weight, more complex diseases, and greater technical difficulties that often be seen in male patients [ 19 , 30 ]. However, the CBCT dose analyzed in our study was generated by a single rotation and therefore independent of procedural time or the complexity of the disease.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Radiation Exposure and Influential Factors in Cone-Beam Computed Tomography (CBCT) of the Head and Abdomen during Interventional Procedures

Li,

Qu,

Zhang

et al. 2024

Tomography

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Cone-beam computed tomography (CBCT) is a widely used imaging technique in interventional radiology. Although CBCT offers great advantages in terms of improving comprehension of complex angioarchitectures and guiding therapeutic decisions, its additional degree of radiation exposure has also aroused considerable concern. In this study, we aimed to assess radiation exposure and its influential factors in patients undergoing CBCT scans of the head and abdomen during interventional procedures. A total of 752 patients were included in this retrospective study. Dose area product (DAP) and reference air kerma (RAK) were used as measures of patient dose. The results showed that the median values of DAP were 53.8 (50.5–64.4) Gy⋅cm2 for head CBCT and 47.4 (39.6–54.3) Gy⋅cm2 for that of the abdomen. Male gender and body mass index (BMI) were characterized by increased DAP and RAK values in both head and abdominal CBCT scans. Larger FOV size was associated with a higher DAP but a lower RAK value, especially in head CBCT scans. Exposure parameters under automatic exposure control (AEC) also varied according to patient BMI and gender. In conclusion, the patients received slightly higher radiation doses from head CBCT scans than from those applied to the abdomen. BMI, gender, and FOV size were the key factors that influenced the radiation dose administered to the patients during CBCT scans. Our results may help to define and minimize patients’ exposure to radiation.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Radiation Exposure and Influential Factors in Cone-Beam Computed Tomography (CBCT) of the Head and Abdomen during Interventional Procedures

Li,

Qu,

Zhang

et al. 2024

Tomography

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“…Elastic net (E-net) is the weighted combination of both L1 and L2 regressions [114]. The linear support vector regressor (lSVR) is another popular regressor for the biomedical prediction problems [115,116]. The features selected by each algorithm are used to train a regression model by the same regression algorithm.…”

Section: E Regression Performance Comparison Of Feature Selection Almentioning

confidence: 99%

Survival Time Prediction of Breast Cancer Patients Using Feature Selection Algorithm Crystall

Liu

Zheng

et al. 2021

IEEE Access

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Breast cancer is one of main causes of death for women. Most of the existing survival analyses focus on the features' associations with whether the patients may survive five years or not. The personalized question remains largely unresolved about how long a breast cancer patient will live. This study aims to predict the patient-specific survival time of breast cancer patients. It formulates the personalized question into two machine learning problems. The first problem is the binary classification of whether a patient will live longer than five years or not. The second one is to build a regression model to predict the patient's survival time within five years. The methylome of a breast cancer patient is used for the prediction. A new algorithm Crystall is presented to find the methylomic features for this regression model. Our models perform well in the above two problems, and achieve the mean absolute error (MAE) of about 1 month for predicting how long a breast cancer patient will live within five years. The detected biomarker genes demonstrate close connections with breast cancers.

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“…The greater the credit disbursed compared to public deposits in a bank, the consequence is that the greater the risk that must be borne by the bank concerned. KAP is an assessment of asset quality factors based on the comparison of classified earning assets (APYD) to their earning assets The increase in the KAP ratio is influenced by an increase in APYD or a decrease in total productive costs (Capasso & Neanidis, 2019;Suomi et al, 2020). If the APYD increases, it means that credit is in special attention, substandard credit, doubtful credit, and bad loans also increase.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Non-Performing Loans Management at the Penglatan Traditional Village Credit Institution (LPD)

Suardika

Dewi

2021

IJSSB

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As a microfinance institution, the LPD, which is finance belonging to the village of Pakraman, aims to collect funds from the community to be further channeled back to the community. Seeing the critical role of the LPD as a micro institution in Bali, the LPD institution with traditional villages, and the government's desire to develop LPD in Bali, the existence of the LPD needs to be maintained and maintained. This study aims to determine the effectiveness of managing Non Performing Loans (NPL) in LPd Desa Adat Penglatan through the Non-Performing Loan Ratio (NPL), Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR), Earning Asset Quality (KAP) and Costs. Operating Operating Income (BOPO). This research was conducted at the Village Credit Institution (LPD) of the Penglatan Traditional Village. The instrument used to collect data is a questionnaire. This study used a population and 36 months or three-year samples using the purposive sampling technique. The collection technique uses an observation process on financial statement data. The techniques used in analyzing the data are Multiple Linear Regression Analysis, Classical Assumption Test Analysis, F-Test Analysis (F-Test), Determination Analysis, and T-Test Analysis (T-Test). The results of this study explain that the Capital Adequacy Ratio (CAR) has a significant negative effect on Non Performing Loans (NPL) and Loan to Deposit Ratio (LDR), Earning Assets Quality (KAP), and Operating Income Operating Costs (BOPO) have a significant influence for Non-Performing Loans (NPL).

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Full feature selection for estimating KAP radiation dose in coronary angiographies and percutaneous coronary interventions

Cited by 5 publications

References 22 publications

Evaluation of Radiation Exposure and Influential Factors in Cone-Beam Computed Tomography (CBCT) of the Head and Abdomen during Interventional Procedures

Evaluation of Radiation Exposure and Influential Factors in Cone-Beam Computed Tomography (CBCT) of the Head and Abdomen during Interventional Procedures

Survival Time Prediction of Breast Cancer Patients Using Feature Selection Algorithm Crystall

Effectiveness of Non-Performing Loans Management at the Penglatan Traditional Village Credit Institution (LPD)

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