Results 201 to 210 of about 123,362 (289)

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

The Application Value of Brain Natriuretic Peptide in the Prognostic Evaluation of Patients With Chronic Left Heart Failure. [PDF]

Cardiovasc Ther
Xiang C, Zhou W.
europepmc   +1 more source

Neutrophilic Alveolitis and High Serum Pro-Brain Natriuretic Peptide Level may be Indicators of Pulmonary Functional Impairment in Connective Tissue Disorders

, 2016
Serap Unculu, Özlem Erçen DİKEN, Aydın ÇİLEDAĞ, Aydan İKİNCİOĞULLARI, Demet KARNAK, Oya KAYACAN, Murat TURGAY   +6 more
openalex   +2 more sources

Longitudinal changes in peritoneal solute transport rate and the impact of lower glucose degradation product glucose dialysates

Therapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 471-478, June 2025.
Abstract Introduction Peritoneal solute transfer rates (PSTR) are reported to increase with time. Changes in PSTR were reviewed in long‐term peritoneal dialysis (PD) patients to determine whether lower glucose degradation products (low GDP) dialysates prevented an increase in PSTR. Methods PSTR was determined with a 4‐h peritoneal equilibrium test with
Andrew Davenport
wiley   +1 more source

NT-pro Brain Natriuretic Peptide in Infants with Single Ventricle Heart Disease in the CHAMP® Multi-site Registry. [PDF]

Pediatr Cardiol
Desai A, Noel-Macdonnell JR, Erickson LA, Ricketts A, Elliott M, Moehlmann M, Romans RA, Jayaram N, Hancock HS.   +8 more
europepmc   +1 more source

Prognostic value of fetal growth and prenatal functional echocardiography in tetralogy of FALLOT

Acta Obstetricia et Gynecologica Scandinavica, EarlyView.
First demonstration that fetal growth and pulmonary peak velocity at third trimester are independent predictors of postnatal outcome in Tetralogy of Fallot. This may enhance the accuracy of prenatal counseling and facilitate more individualized planning for delivery and neonatal care. Abstract Introduction Tetralogy of Fallot (ToF) shows variability in
Laura Nogué, Mar Bennasar, Laura Guirado, Felix Zölner, Justus Reitz, Roland Axt‐Fliedner, María C. Escobar‐Díaz, Josep Maria Martínez, Eduard Gratacós, Fàtima Crispi, Olga Gómez, for the BCNatal and Gießen and Marburg University investigators, Míriam Pérez‐Cruz, Narcís Masoller, Franziska Holland, Mireia Caballero, Marta Guilleumes, Sergi Cesar   +17 more
wiley   +1 more source

Prognostic value of N-terminal pro-B-type natriuretic peptide and C reactive protein testing in patients with acute ST-segment elevation myocardial infarction. [PDF]

Open Heart
Dregoesc IM, Cramariuc D, Wilsgaard T, Istrate M, Buiga VS, Ichim S, Ober C, Manole S, Sharashova E, Stylidis M, Hung J, Iancu AC, Bleie Ø, Steigen T.   +13 more
europepmc   +1 more source

Comparative bioinformatics analysis and functional characteristics of natriuretic peptide B (NPPB) gene in humans

Awais Rasheed, Misbah Safdar, Ali Umar, Muhammad Saleem Khan, Saira Ramzan, Kainat Ramzan, Sabeen Sabri, Shifa Shaffique, Muhammad Zahir Tahir   +8 more
openalex   +1 more source

Discovery and SAR of a novel series of Natriuretic Peptide Receptor-A (NPR-A) agonists

, 2017
Takehiko Iwaki, Yuji Nakamura, Taisaku Tanaka, Yasuyuki Ogawa, Osamu Iwamoto, Yoshihiko Okamura, Yumi Kawase, Mayumi Furuya, Yoshiaki Oyama, Takahiro Nagayama   +9 more
openalex   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

Artificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato, Takeshi Goto, Tomoyuki Ohira, Hirotaka Kinoshita, Kugo Kurokawa, Kouhei Naganuma, Chikako Ohminato, Junko Ogasawara, Shingo Hatakeyama, Yoshihiro Sasaki, Kazuyoshi Hirota, Chikara Ohyama   +11 more
wiley   +1 more source