نتائج البحث

Towards Extended Reality Intelligence for Monitoring and Predicting Patient Readmission Risks

• Authors : Sanchez, Martin; Tran, Nick; Chheang, Vuthea

Subjects: Human-Computer Interaction; Graphics

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Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient Readmission

• Authors : Zarghani, Abolfazl

Subjects: Computer Science - Machine Learning

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Leveraging nonlinear relationships and interactions to improve 30-day pneumonia readmission machine learning models.

• Authors : Mortensen EM; University of Connecticut School of Medicine, University of Connecticut Health Center, Farmington, Connecticut, United States of America.; Atuegwu N

Subjects: Patient Readmission*/Patient Readmission*/Patient Readmission*/statistics & numerical data ; Pneumonia*/Pneumonia*/Pneumonia*/therapy ; Pneumonia*/Pneumonia*/Pneumonia*/epidemiology

• Source: PloS one [PLoS One] 2026 Jun 05; Vol. 21 (6), pp. e0349804. Date of Electronic Publication: 2026 Jun 05 (Print Publication: 2026).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Hospital Readmission After Traumatic Brain Injury Hospitalization in Community-Dwelling Older Adults.

• Authors : Thomas R; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.; Law CA

Subjects: Patient Readmission*/Patient Readmission*/Patient Readmission*/statistics & numerical data ; Brain Injuries, Traumatic*/Brain Injuries, Traumatic*/Brain Injuries, Traumatic*/epidemiology ; Brain Injuries, Traumatic*/Brain Injuries, Traumatic*/Brain Injuries, Traumatic*/therapy

• Source: Annals of clinical and translational neurology [Ann Clin Transl Neurol] 2026 May; Vol. 13 (5), pp. 864-874. Date of Electronic Publication: 2025 Nov 30.Publisher: Wiley Periodicals, Inc on behalf of American Neurological Association Country of Publication: United States NLM ID: 101623278 Publication Model:

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Machine Learning-Based Prediction of 30-Day Hospital Readmission in Patients with Chronic Kidney Disease: A Retrospective Cohort Study.

• Authors : Sanadgol H; Division of Nephrology, Department of Internal Medicine, Hasheminejad Kidney Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.; Barati S

Subjects: Patient Readmission*/Patient Readmission*/Patient Readmission*/statistics & numerical data ; Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/therapy ; Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/physiopathology

• Source: Iranian journal of kidney diseases [Iran J Kidney Dis] 2026 Apr 19; Vol. 20 (2), pp. 69-76. Date of Electronic Publication: 2026 Apr 19.Publisher: Iranian Society of Nephrology Country of Publication: Iran NLM ID: 101316967 Publication Model: Electronic Cited Medium: Internet ISSN:

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Daily Symptom Home Monitoring Decreases Hospital Readmissions in Children and Young Adults With Acute Lymphoblastic Leukemia.

• Authors : Ben-Kenan RF; Center for Cancer and Blood Disorders, Phoenix Children's Hospital, Phoenix, Arizona, USA.; Retson LL

Subjects: Patient Readmission*/Patient Readmission*/Patient Readmission*/statistics & numerical data ; Precursor Cell Lymphoblastic Leukemia-Lymphoma*/Precursor Cell Lymphoblastic Leukemia-Lymphoma*/Precursor Cell Lymphoblastic Leukemia-Lymphoma*/drug therapy ; Precursor Cell Lymphoblastic Leukemia-Lymphoma*/Precursor Cell Lymphoblastic Leukemia-Lymphoma*/Precursor Cell Lymphoblastic Leukemia-Lymphoma*/diagnosis

• Source: Cancer medicine [Cancer Med] 2026 Apr; Vol. 15 (4), pp. e71719.Publisher: John Wiley & Sons Ltd Country of Publication: United States NLM ID: 101595310 Publication Model: Print Cited Medium: Internet ISSN:

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Informatics and measurement in healthcare: deep learning for diabetic patient readmission prediction

• Authors : Shiva Saffari; Mahdi Bahaghighat

Subjects: diabetes; readmission prediction; neural networks

• Source: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 15, Iss 4 (2025)

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Diabetic Patient Readmission Prediction Using BiLSTM with XGBoost

• Authors : Nain, Sneha; Sonar, Dhruv; Gahukar, Prathmesh

Subjects: BiLSTM; Deep learning; Hybrid model

• Source: Journal of Artificial Neural Networks and Learning System (p-ISSN: 3049-0758, e-ISSN: 3048-6629); Vol. 2 No. 3 (2025); 1-11; 3048-6629; 3049-0758

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Twelve‑month rehospitalization after IBD‑related hospitalization in Germany: A retrospective cohort study using administrative hospital data.

• Authors : Weigel C; Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Duesseldorf, Medical Faculty of Heinrich Heine University Duesseldorf, Duesseldorf, Germany.; Loosen SH

Subjects: Patient Readmission*/Patient Readmission*/Patient Readmission*/statistics & numerical data ; Hospitalization*/Hospitalization*/Hospitalization*/statistics & numerical data ; Crohn Disease*/Crohn Disease*/Crohn Disease*/epidemiology

• Source: PloS one [PLoS One] 2026 Mar 31; Vol. 21 (3), pp. e0346270. Date of Electronic Publication: 2026 Mar 31 (Print Publication: 2026).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Predictive value of admission biomarkers for mortality and rehospitalization in hypertensive crisis.

• Authors : Bećirović E; Internal Medicine Clinic, University Clinical Centre Tuzla, Tuzla, Bosnia and Herzegovina.; Bećirović M

Subjects: Hypertension*/Hypertension*/Hypertension*/mortality ; Hypertension*/Hypertension*/Hypertension*/blood ; Hypertension*/Hypertension*/Hypertension*/drug therapy

• Source: Medicinski glasnik : official publication of the Medical Association of Zenica-Doboj Canton, Bosnia and Herzegovina [Med Glas (Zenica)] 2026 Feb 27; Vol. 23 (1), pp. 41-46. Date of Publisher: Medical Association of Zenica-Doboj Canton Country of Publication: Bosnia and Herzegovina NLM ID: 101250177 Publication Model: Electronic Cited

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