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Multiple objective metaheuristics for feature selection based on stakeholder requirements in credit scoring

Decision Support Systems, 2022-04, Vol.155, p.113714, Article 113714

2022

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Current trends in diabetes mellitus database research in Japan

Diabetes, obesity & metabolism, 2021-04, Vol.23 (S2), p.3-18

2021

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Heart failure and chronic kidney disease manifestation and mortality risk associations in type 2 diabetes: A large multinational cohort study

Diabetes, obesity & metabolism, 2020-09, Vol.22 (9), p.1607-1618

2020

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Fine-Scale Mapping by Spatial Risk Distribution Modeling for Regional Malaria Endemicity and Its Implications under the Low-to-Moderate Transmission Setting in Western Cambodia

PloS one, 2016-07, Vol.11 (7), p.e0158737-e0158737

2016

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Initiation and continuation of pharmacological therapies in patients hospitalized for heart failure in Japan

Scientific reports, 2024-04, Vol.14 (1), p.9095-9095, Article 9095

2024

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Hyperkalemia in Real-World Patients Under Continuous Medical Care in Japan

Kidney international reports, 2019-09, Vol.4 (9), p.1248-1260

2019

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Comparison of Profit-Based Multi-Objective Approaches for Feature Selection in Credit Scoring

Algorithms, 2021-09, Vol.14 (9), p.260

2021

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Risk-Benefit Balance of Renin-Angiotensin-Aldosterone Inhibitor Cessation in Heart Failure Patients with Hyperkalemia

Journal of clinical medicine, 2022-09, Vol.11 (19), p.5828

2022

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Correction: Kohsaka et al. Risk-Benefit Balance of Renin-Angiotensin-Aldosterone Inhibitor Cessation in Heart Failure Patients with Hyperkalemia. J. Clin. Med. 2022, 11 , 5828

Journal of clinical medicine, 2023-03, Vol.12 (7), p.2578

2023

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Spatiotemporal Integration of Mobile, Satellite, and Public Geospatial Data for Enhanced Credit Scoring

Symmetry (Basel), 2021-04, Vol.13 (4), p.575

2021

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Machine Learning Models Predicting Cardiovascular and Renal Outcomes and Mortality in Patients with Hyperkalemia

Nutrients, 2022-11, Vol.14 (21), p.4614

2022

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Clinical and Economic Burden of Hyperkalemia: A Nationwide Hospital-Based Cohort Study in Japan

Kidney medicine, 2020-11, Vol.2 (6), p.742-752.e1

2020

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Spatiotemporal Modeling for Fine-Scale Maps of Regional Malaria Endemicity and Its Implications for Transitional Complexities in a Routine Surveillance Network in Western Cambodia

Frontiers in public health, 2017-09, Vol.5, p.262-262

2017

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Vericiguat Use in Patients with Heart Failure in Real-World Settings during the First Year after the Drug Authorization in Japan

Journal of clinical medicine, 2024-06, Vol.13 (11), p.3222

2024

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Cardiovascular and Renal Outcomes Associated With Hyperkalemia in Chronic Kidney Disease: A Hospital-Based Cohort Study

Mayo Clinic proceedings. Innovations, quality & outcomes, 2021-04, Vol.5 (2), p.274-285

2021

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Transitional Complexity of Health Information System of Systems: Managing by the Engineering Systems Multiple-Domain Modeling Approach

IEEE systems journal, 2019-03, Vol.13 (1), p.952-963

2019

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IEEE_Xplore

2560 HEMOGLOBIN VARIABILITY AND ADVERSE CLINICAL EVENTS IN PATIENTS WITH NON-DIALYSIS-DEPENDENT CHRONIC KIDNEY DISEASE AND ANEMIA IN CONTINUOUS CARE

Nephrology, dialysis, transplantation, 2023-06, Vol.38 (Supplement_1)

2023

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Lower heart failure and chronic kidney disease risks associated with sodium‐glucose cotransporter‐2 inhibitor use in Japanese type 2 diabetes patients without established cardiovascular and renal diseases

Diabetes, obesity & metabolism, 2021-04, Vol.23 (S2), p.19-27

2021

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Abstract 9315: Mortality Risk Associated With Cessation of Mineralocorticoid Receptor Antagonists in Heart Failure Patients and Hyperkalemia; A Real-World Study From a Nationwide Administrative Database

Circulation (New York, N.Y.), 2021-11, Vol.144 (Suppl_1)

2021

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Machine Learning Models to Predict Cardiovascular and Renal Outcomes and Mortality in Hyperkalemic Patients: PO1128

Journal of the American Society of Nephrology, 2021-10, Vol.32 (10S), p.371-371

2021

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Abstract 13365: Risk-benefit Evaluation in Cessation of Renin-angiotensin-aldosterone Inhibitors in Hyperkalemic Heart Failure Patients: A Japanese Real-world Study From Nationwide Administrative Database

Circulation (New York, N.Y.), 2020-11, Vol.142 (Suppl_3 Suppl 3), p.A13365-A13365

2020

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Lower cardiorenal risk withsodium-glucosecotransporter-2 inhibitors versus dipeptidyl peptidase-4 inhibitors in patients with type 2 diabetes without cardiovascular and renal diseases: A large multinational observational study

Diabetes, obesity & metabolism, 2021, Vol.23 (1), p.75

2021

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Machine Learning Models for Risk Prediction of Adverse Events in Hyperkalemic Patients: PO1453

Journal of the American Society of Nephrology, 2020-10, Vol.31 (10S), p.467-467

2020

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2505 CHARACTERISTICS OF MEDICATION-INITIATOR COHORTS OF PATIENTS WITH CHRONIC KIDNEY DISEASE AND TYPE 2 DIABETES IN JAPAN: A REPORT FROM FOUNTAIN PLATFORM

Nephrology, dialysis, transplantation, 2023-06, Vol.38 (Supplement_1)

2023

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Correction: Kohsaka et al. Risk–Benefit Balance of Renin–Angiotensin–Aldosterone Inhibitor Cessation in Heart Failure Patients with Hyperkalemia. IJ. Clin. Med./I 2022, I11/I, 5828

Journal of clinical medicine, 2023-03, Vol.12 (7)

2023

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Multiple objective metaheuristics for feature selection based on stakeholder requirements in credit scoring

Current trends in diabetes mellitus database research in Japan

Heart failure and chronic kidney disease manifestation and mortality risk associations in type 2 diabetes: A large multinational cohort study

Fine-Scale Mapping by Spatial Risk Distribution Modeling for Regional Malaria Endemicity and Its Implications under the Low-to-Moderate Transmission Setting in Western Cambodia

Initiation and continuation of pharmacological therapies in patients hospitalized for heart failure in Japan

Hyperkalemia in Real-World Patients Under Continuous Medical Care in Japan

Comparison of Profit-Based Multi-Objective Approaches for Feature Selection in Credit Scoring

Risk-Benefit Balance of Renin-Angiotensin-Aldosterone Inhibitor Cessation in Heart Failure Patients with Hyperkalemia

Correction: Kohsaka et al. Risk-Benefit Balance of Renin-Angiotensin-Aldosterone Inhibitor Cessation in Heart Failure Patients with Hyperkalemia. J. Clin. Med. 2022, 11 , 5828

Spatiotemporal Integration of Mobile, Satellite, and Public Geospatial Data for Enhanced Credit Scoring

Machine Learning Models Predicting Cardiovascular and Renal Outcomes and Mortality in Patients with Hyperkalemia

Clinical and Economic Burden of Hyperkalemia: A Nationwide Hospital-Based Cohort Study in Japan

Spatiotemporal Modeling for Fine-Scale Maps of Regional Malaria Endemicity and Its Implications for Transitional Complexities in a Routine Surveillance Network in Western Cambodia

Vericiguat Use in Patients with Heart Failure in Real-World Settings during the First Year after the Drug Authorization in Japan

Cardiovascular and Renal Outcomes Associated With Hyperkalemia in Chronic Kidney Disease: A Hospital-Based Cohort Study

Transitional Complexity of Health Information System of Systems: Managing by the Engineering Systems Multiple-Domain Modeling Approach

2560 HEMOGLOBIN VARIABILITY AND ADVERSE CLINICAL EVENTS IN PATIENTS WITH NON-DIALYSIS-DEPENDENT CHRONIC KIDNEY DISEASE AND ANEMIA IN CONTINUOUS CARE

Lower heart failure and chronic kidney disease risks associated with sodium‐glucose cotransporter‐2 inhibitor use in Japanese type 2 diabetes patients without established cardiovascular and renal diseases

Abstract 9315: Mortality Risk Associated With Cessation of Mineralocorticoid Receptor Antagonists in Heart Failure Patients and Hyperkalemia; A Real-World Study From a Nationwide Administrative Database

Machine Learning Models to Predict Cardiovascular and Renal Outcomes and Mortality in Hyperkalemic Patients: PO1128

Abstract 13365: Risk-benefit Evaluation in Cessation of Renin-angiotensin-aldosterone Inhibitors in Hyperkalemic Heart Failure Patients: A Japanese Real-world Study From Nationwide Administrative Database

Lower cardiorenal risk withsodium-glucosecotransporter-2 inhibitors versus dipeptidyl peptidase-4 inhibitors in patients with type 2 diabetes without cardiovascular and renal diseases: A large multinational observational study

Machine Learning Models for Risk Prediction of Adverse Events in Hyperkalemic Patients: PO1453

2505 CHARACTERISTICS OF MEDICATION-INITIATOR COHORTS OF PATIENTS WITH CHRONIC KIDNEY DISEASE AND TYPE 2 DIABETES IN JAPAN: A REPORT FROM FOUNTAIN PLATFORM

Correction: Kohsaka et al. Risk–Benefit Balance of Renin–Angiotensin–Aldosterone Inhibitor Cessation in Heart Failure Patients with Hyperkalemia. IJ. Clin. Med./I 2022, I11/I, 5828

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