Results 181 to 190 of about 310,651 (297)
HCC patients with low preoperative TIBC levels experienced significantly more frequent post‐hepatectomy complications. Furthermore, these patients were significantly correlated with worse survival. Preoperative serum TIBC levels may be a novel surrogate marker of postoperative complications and long‐term survival after hepatectomy.
Taishi Yamane +9 more
wiley +1 more source
Do pleural fluid pH and lactate improve classification beyond Light's criteria?: A single-center retrospective study. [PDF]
Eraslan BZ +3 more
europepmc +1 more source
ABSTRACT Aim A novel systemic inflammatory response marker, the neutrophil × monocyte value (NM value), has been identified as a negative predictive factor for responses to chemoradiotherapy in rectal cancer. However, the clinical implications of the NM value remain unknown.
Takayoshi Sasaki +9 more
wiley +1 more source
Weighted risk scoring system for predicting peripartum transfusion: development and internal validation. [PDF]
Karakelleoğlu G +4 more
europepmc +1 more source
Preoperative CT based on lymph node size shows moderate accuracy for detecting nodal metastasis in colon cancer. In this meta‐analysis of 29 studies (5,634 patients), pooled sensitivity and specificity were 0.69 and 0.66. Size‐based CT alone has limited value for clinical decision‐making.
Yuji Takayama +4 more
wiley +1 more source
Machine learning-based prediction of 1-year mortality risk after off-pump coronary artery bypass grafting. [PDF]
Ma Y, Shi Y, Yin R.
europepmc +1 more source
EVALUATING FORECASTS OF DISCRETE VARIABLES: PREDICTING CATTLE QUALITY GRADES
Little research has been conducted on evaluating out-of-sample forecasts of limited dependent variables. This study describes the large and small sample properties of two forecast evaluation techniques for limited dependent variables: receiver-operator ...
Norwood, F. Bailey +2 more
core
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males +8 more
wiley +1 more source
Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning. [PDF]
Chu AMY +5 more
europepmc +1 more source

