Application of machine learning in depression risk prediction for connective tissue diseases

Authors: Leilei Yang, Yuzhan Jin, Wei Lu, Xiaoqin Wang, Yuqing Yan, Yulan Tong, Dinglei Su, Kaizong Huang, Jianjun Zou

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-10 (2025)

Subject Terms: Connective tissue disease, Depression, Machine learning, Multi-classification algorithms, Catboost, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/eabeb4c1635b4fb78516a63020209e47

Incorporating preoperative frailty to assist in early prediction of postoperative pneumonia in elderly patients with hip fractures: an externally validated online interpretable machine learning model

Authors: Anran Dai, Hao Liu, Po Shen, Yue Feng, Yi Zhong, Mingtao Ma, Yuping Hu, Kaizong Huang, Chen Chen, Huaming Xia, Libo Yan, Yanna Si, Jianjun Zou

Source: BMC Geriatrics, Vol 24, Iss 1, Pp 1-14 (2024)

Subject Terms: Postoperative pneumonia, Orthopedic surgery, mFI-5, Risk factor, Catboost, Prediction model, Geriatrics, RC952-954.6

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2318

Access URL: https://doaj.org/article/06629ebae9024361bacdcbcac724d39f

Nanoassembly-Mediated Exendin‑4 Derivatives to Decrease Renal Retention

Authors: Zhengwei Zhou, Shuai Wang, Tianling Feng, Pengjun Zhang, Hongwei Fan, Jianjun Zou, Kaizong Huang

Source: ACS Omega, Vol 9, Iss 17, Pp 18757-18765 (2024)

Subject Terms: Chemistry, QD1-999

File Description: electronic resource

Relation: https://doaj.org/toc/2470-1343

Access URL: https://doaj.org/article/ea18a81b76924097be22ba1c3ad7f5d9

The relationship between anxiety and depression in adolescent depression patients: The mediating effect of hope level and coping modes

Authors: Yan Lin, Zhihan Chen, Mengjiao He, Weiqing Zhou, Lina Wang, Hua Guo, Kaizong Huang

Source: Heliyon, Vol 10, Iss 15, Pp e35466- (2024)

Subject Terms: Anxiety, Depression, Hope level, Coping modes, Adolescent patients, Science (General), Q1-390, Social sciences (General), H1-99

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024114971; https://doaj.org/toc/2405-8440

Access URL: https://doaj.org/article/2c9a831d0a884f90abfe2aa417bc8c21

Ubiquitin ligase subunit FBXO9 inhibits V-ATPase assembly and impedes lung cancer metastasis

Authors: Liang Liu, Xiaodong Chen, Leilei Wu, Kaizong Huang, Zhenyi Wang, Yaolin Zheng, Cheng Zheng, Zhenshan Zhang, Jiayan Chen, Jiaming Wei, Song Chen, Weilin Jin, Jinfei Chen, Dongping Wei, Yaping Xu

Source: Experimental Hematology & Oncology, Vol 13, Iss 1, Pp 1-23 (2024)

Subject Terms: FBXO9, Ubiquitination, V-ATPase assembly, Migration, Cancer stemness, Metastasis, Diseases of the blood and blood-forming organs, RC633-647.5, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://doaj.org/toc/2162-3619

Access URL: https://doaj.org/article/44bfac91ef554384bfaf8c79012a8cb8

Incorporating intraoperative blood pressure time-series variables to assist in prediction of acute kidney injury after type a acute aortic dissection repair: an interpretable machine learning model

Authors: Anran Dai, Zhou Zhou, Fan Jiang, Yaoyi Guo, Dorothy O. Asante, Yue Feng, Kaizong Huang, Chen Chen, Hongwei Shi, Yanna Si, Jianjun Zou

Source: Annals of Medicine, Vol 55, Iss 2 (2023)

Subject Terms: Acute kidney injury, cardiac surgery, aortic dissection, intraoperative hypotension, machine learning, XGBoost, Medicine

File Description: electronic resource

Relation: https://doaj.org/toc/0785-3890; https://doaj.org/toc/1365-2060

Access URL: https://doaj.org/article/0ce33e478dab40efb553a948542f3427

A novel interpretative tool for early prediction of low cardiac output syndrome after valve surgery: online machine learning models

Authors: Liang Hong, Tianling Feng, Runze Qiu, Shiteng Lin, Yinying Xue, Kaizong Huang, Chen Chen, Jiawen Wang, Rongrong Xie, Sanbing Song, Cui Zhang, Jianjun Zou

Source: Annals of Medicine, Vol 55, Iss 2 (2023)

Subject Terms: Low cardiac output syndrome, valve surgery, machine learning, prediction, interpretative, online, Medicine

File Description: electronic resource

Relation: https://doaj.org/toc/0785-3890; https://doaj.org/toc/1365-2060

Access URL: https://doaj.org/article/d343d8dcba784bd4ba499a894f163834

A convenient machine learning model to predict full stomach and evaluate the safety and comfort improvements of preoperative oral carbohydrate in patients undergoing elective painless gastrointestinal endoscopy

Authors: Yuzhan Jin, Mingtao Ma, Yuqing Yan, Yaoyi Guo, Yue Feng, Chen Chen, Yi Zhong, Kaizong Huang, Huaming Xia, Yan Libo, Yanna Si, Jianjun Zou

Source: Annals of Medicine, Vol 55, Iss 2 (2023)

Subject Terms: Full stomach, aspiration, machine learning, propensity score matching, preoperative oral carbohydrates, gastrointestinal endoscopy, Medicine

File Description: electronic resource

Relation: https://doaj.org/toc/0785-3890; https://doaj.org/toc/1365-2060

Access URL: https://doaj.org/article/12bea466d8b44344b0fd326735e8f53f

Assessing hypertension and diabetes knowledge, attitudes and practices among residents in Akatsi South District, Ghana using the KAP questionnaire

Authors: Dorothy O. Asante, Anran Dai, Anita N. Walker, Zhou Zhou, Senam A. Kpogo, Rongzhu Lu, Kaizong Huang, Jianjun Zou

Source: Frontiers in Public Health, Vol 11 (2023)

Subject Terms: hypertension, diabetes, knowledge, attitudes, health education, promotion, Public aspects of medicine, RA1-1270

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpubh.2023.1056999/full; https://doaj.org/toc/2296-2565

Access URL: https://doaj.org/article/5ac334622f2b4efaa6b0e68ccb27fa36

Pre- and Post-Operative Online Prediction of Outcome in Patients Undergoing Endovascular Coiling after Aneurysmal Subarachnoid Hemorrhage: Visual and Dynamic Nomograms

Authors: Zhou Zhou, Fusang Wang, Tingting Chen, Ziqiao Wei, Chen Chen, Lan Xiang, Liang Xiang, Qian Zhang, Kaizong Huang, Fuping Jiang, Zhihong Zhao, Jianjun Zou

Source: Brain Sciences, Vol 13, Iss 8, p 1185 (2023)

Subject Terms: intracranial aneurysm, aneurysmal subarachnoid hemorrhage, endovascular coiling, dynamic nomogram, outcome prediction, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3425/13/8/1185; https://doaj.org/toc/2076-3425

Access URL: https://doaj.org/article/ccebdc30ceb54b84aa5cdb9895b872e7