Results 221 to 230 of about 1,673,769 (336)

Performance metrics for seven classification models in predicting depression were evaluated on the test dataset. Metrics reported include accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC). Random Forest and CatBoost achieved the highest overall accuracy (82.2%), with Random Forest obtaining the highest recall (0.94) and AUC (0.91), indicating its strong ability to identify depressed individuals.

Abdulzeid Yen Anafo (22656310), LaRon E. Nelson (11767201), Leo Wilton (438429), Vincent Uwumboriyhie Gmayinaam (15338643), Selasi Ocloo (22656313)   +4 more
openalex   +1 more source

IGF‐1 Deficiency Serves as an Integrated Biomarker Pathogenic Driver and Predictor in Poor Ovarian Response

Advanced Science, EarlyView.
IGF‐1 deficiency underlies poor ovarian response (POR), as reduced levels in follicular fluid and granulosa cells impair antral follicle formation and compromise reproductive outcomes. Including IGF‐1 as a biomarker significantly enhances the accuracy of models predicting both PORrisk and pregnancy success.
Zhu Hu, Yuanyuan Yu, Guanyou Huang, Jinnan Li, Chao Yang, Aizhuan Long, Jia Tang, Tengxiang Chen, Shuyun Zhao, Tuo Zhang   +9 more
wiley   +1 more source

The memory test of the Brief Cognitive Screening Battery is the same as the Recall of Pictures Test of the European Cross-Cultural Neuropsychological Test Battery [PDF]

Brazilian Journal of Psychiatry
Ricardo Nitrini, Paulo Caramelli, Sonia Maria Dozzi Brucki, Mônica Sanches Yassuda   +3 more
doaj   +2 more sources

Abnormal Forgetting Rate from the Recency Portion of a Word-List in Patients with Subjective Cognitive Decline. [PDF]

Arch Clin Neuropsychol
Leonardi C, Di Palma V, De Simone MS, Stanzione A, Rodini M, Caruso G, Covino S, Pugliese M, Caltagirone C, Carlesimo GA.   +9 more
europepmc   +1 more source

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

Advanced Science, EarlyView.
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao, Jiakang Shao, Quanzhi Li, Yizhou Tan, Liangliang Huang, Xiaorong Xu, Ji Qi, Julin Xiao, Wenwen Li, Zhong Wen, Le Wang, Xu Liu, Qing Yang, Ying Gu   +13 more
wiley   +1 more source

Damage identification of reinforced concrete structure based on CNN-ICSA-GWELM model. [PDF]

Sci Rep
You W.
europepmc   +1 more source

Reference‐Guided Chromosome‐by‐Chromosome de novo Assembly at Scale Using Low‐Coverage High‐Fidelity Long‐Reads with HiFiCCL

Advanced Science, EarlyView.
HiFiCCL, as the first assembly framework specifically designed for low‐coverage high‐fidelity reads, improves the assembly quality of existing assemblers and also enhances downstream applications such as large structural variant (SV) detection (>10 000 bp), synteny analysis, pangenome graph construction, and graph‐based individual‐specific germline SVs
Zhongjun Jiang, Weihua Pan, Runtian Gao, Heng Hu, Wentao Gao, Murong Zhou, Yu‐Hang Yin, Zhipeng Qian, Shuilin Jin, Guohua Wang   +9 more
wiley   +1 more source

Tackling Imbalanced Data in Chronic Obstructive Pulmonary Disease Diagnosis: An Ensemble Learning Approach with Synthetic Data Generation. [PDF]

Bioengineering (Basel)
Ko YH, Hung CS, Lin CR, Wu DW, Huang CH, Lin CT, Tsai JH.   +6 more
europepmc   +1 more source

Mapping the Non‐Canonical Splicing Variants: Decrypting the Hidden Genetic Architecture of Idiopathic Male Infertility

Advanced Science, EarlyView.
This study highlights the significance of non‐canonical splicing variants in male infertility, a factor often overlooked during the analysis of high‐throughput sequencing data. Incorporating the non‐canonical splicing variants prioritization in the genetic analysis pipeline will increase the genetic diagnosis of patients with male infertility ...
Kuokuo Li, Yuge Chen, Dongdong Tang, Yuying Sheng, Xu Han, Hao Geng, Na Zhang, Zongliu Duan, Guanxiong Wang, Yang Gao, Rui Guo, Rong Hua, Zhiming Ding, Chuan Xu, Qunshan Shen, Zhen Yu, Bing Song, Mingrong Lv, Yuping Xu, Huan Wu, Ji Wu, Yunxia Cao, Xiaojin He   +22 more
wiley   +1 more source