Results 151 to 160 of about 130,883 (345)

Development and validation of a novel nomogram to predict aneurysm rupture in patients with multiple intracranial aneurysms: a multicentre retrospective study

open access: yesStroke and Vascular Neurology
Background and purpose Approximately 15%–45% of patients with unruptured intracranial aneurysms have multiple intracranial aneurysms (MIAs). Determining which one is most likely to rupture is extremely important for treatment decision making for MIAs ...
Yang Zhao   +11 more
doaj   +1 more source

Establishment and Validation of Nomogram Model Based on Neutrophil Lymphocyte Ratio for Prognosis of Patients With Congestive Heart Failure. [PDF]

open access: yesCardiol Res Pract
Objective Based on the NLR, we aim to investigate the prognostic factors of CHF and establish a nomogram model to predict the OS of CHF patients. Methods We selected 566 CHF patients from the NHANES database surveyed between 1999 and 2018 as the study population and randomly divided the data into training and validation sets in a 7:3 ratio.
Shi F, Wang L, Wang E, Fang C.
europepmc   +2 more sources

Prognosis Prediction and Surgical Benefit Subgroup Analysis in Anal Squamous Cell Carcinoma Patients Undergoing Concurrent Chemoradiotherapy

open access: yesCancer Medicine
Background This study aimed to develop a nomogram to predict overall survival in anal squamous cell carcinoma (ASCC) patients undergoing chemoradiotherapy and to identify patients who may benefit from surgery.
Quan Wang   +3 more
doaj   +1 more source

Development and Validation of Survival Nomograms in Patients with Primary Bladder Lymphoma [PDF]

open access: gold, 2022
Junyi Lin   +9 more
openalex   +1 more source

Construction of a prognostic assessment model for diabetic nephropathy based on serum fibrinogen and renal tissue IFTA score

open access: yesJournal of Diabetes Investigation, EarlyView.
ABSTRACT Objective To explore the association between serum fibrinogen (FIB) and clinicopathological features and renal prognosis in type 2 diabetic nephropathy (T2DN), and develop a web‐based dynamic model to predict renal progression. Methods This paper retrospectively enrolled 173 biopsy‐proven T2DN patients and stratified them by the optimal FIB ...
Lin Ning   +5 more
wiley   +1 more source

A deep learning–clinical nomogram hybrid for predicting sentinel lymph node metastasis in melanoma

open access: yesJournal of the European Academy of Dermatology and Venereology, EarlyView.
We developed MISSLE, a deep learning–clinical nomogram hybrid model, to predict sentinel lymph node metastasis in invasive cutaneous melanoma with a high area under the receiver operating characteristic curve of 0.950 on the test set. MISSLE identifies key histopathological features and integrates AI for improved clinical decision‐making.
Minh‐Khang Le   +8 more
wiley   +1 more source

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention

open access: yesObesity Reviews, EarlyView.
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini   +4 more
wiley   +1 more source

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