Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data [0.03%]
基于人工智能的计算方法在多模态数据上的优化 poly 卵巢疾病预后和分类
Kogilavani Shanmugavadivel,Murali Dhar M S,Mahesh T R et al.
Kogilavani Shanmugavadivel et al.
Polycystic Ovarian Disease or Polycystic Ovary Syndrome (PCOS) is becoming increasingly communal among women, owing to poor lifestyle choices. According to the research conducted by National Institutes of Health, it has been observe that PC...
Continuous adaptation of conversation aids for uterine fibroids treatment options in a four-year multi-center implementation project [0.03%]
连续适应四年多中心实施项目中子宫肌瘤治疗方案的对话辅助工具
Danielle Schubbe,Marie-Anne Durand,Rachel C Forcino et al.
Danielle Schubbe et al.
Background: Fibroids are non-cancerous uterine growths that can cause symptoms impacting quality of life. The breadth of treatment options allows for patient-centered preference. While conversation aids are known to facil...
Study on medical dispute prediction model and its clinical-application effectiveness based on machine learning [0.03%]
基于机器学习的医疗纠纷预测模型研究及临床应用效果探讨
Jicheng Li,Tao Zhu,Lin Wang et al.
Jicheng Li et al.
Background: Medical dispute is a global public health issue, which has been garnering increasing attention. In this study, we used machine learning (ML) method to establish a dispute prediction model and explored the clin...
Strengths, weaknesses, opportunities, and threats (SWOT) of the electronic prescribing systems executed in Iran from the physician's viewpoint: a qualitative study [0.03%]
从医师视角出发的我国电子处方系统的swot分析：一项定性研究
Mohamad Jebraeily,Shahryar Naji,Aynaz Nourani
Mohamad Jebraeily
Background: Electronic prescribing (e-prescribing) is an essential technology in the modern health system. This technology has made many changes in the prescription process, which have advantages and disadvantages and hav...
Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules [0.03%]
基于机器学习的颈椎后路椎板成形术门诊随访优化模型
Yechan Seo,Seoi Jeong,Siyoung Lee et al.
Yechan Seo et al.
Background: Patients undergo regular clinical follow-up after laminoplasty for cervical myelopathy. However, those whose symptoms significantly improve and remain stable do not need to conform to a regular follow-up sched...
Identifying the most critical side effects of antidepressant drugs: a new model proposal with quantum spherical fuzzy M-SWARA and DEMATEL techniques [0.03%]
一种新的模型提案：利用量子球面模糊M-SWARA和DEMATEL技术识别抗抑郁药物最严重的副作用
Gökhan Silahtaroğlu,Hasan Dinçer,Serhat Yüksel et al.
Gökhan Silahtaroğlu et al.
Identifying and managing the most critical side effects encourages patients to take medications regularly and adhere to the course of treatment. Therefore, priority should be given to the more important ones, among these side effects. Howev...
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach [0.03%]
不确定性条件下的临床决策：自助靴带化反事实推理方法
Hang Wu,Wenqi Shi,Anirudh Choudhary et al.
Hang Wu et al.
Background: Learning policies for decision-making, such as recommending treatments in clinical settings, is important for enhancing clinical decision-support systems. However, the challenge lies in accurately evaluating a...
Use of web-based decision support to improve informed choice for chemoprevention: a qualitative analysis of pre-implementation interviews (SWOG S1904) [0.03%]
定性分析网络决策支持工具改善化学预防知情选择的使用（SWOG S1904）前实施访谈
Alissa M Michel,Haeseung Yi,Jacquelyn Amenta et al.
Alissa M Michel et al.
Background: Women with high-risk breast lesions, such as atypical hyperplasia (AH) or lobular carcinoma in situ (LCIS), have a 4- to tenfold increased risk of breast cancer compared to women with non-proliferative breast ...
Randomized Controlled Trial
BMC medical informatics and decision making. 2024 Sep 27;24(1):272. DOI:10.1186/s12911-024-02691-0 2024
Decision threshold models in medical decision making: a scoping literature review [0.03%]
医学决策中的阈值模型文献回顾
Andrew Scarffe,Alison Coates,Kevin Brand et al.
Andrew Scarffe et al.
Background: Decision thresholds play important role in medical decision-making. Individual decision-making differences may be attributable to differences in subjective judgments or cognitive processes that are captured th...
Late feature fusion using neural network with voting classifier for Parkinson's disease detection [0.03%]
基于投票分类器的神经网络的晚期特征融合帕金森病检测方法
Abeer Aljohani
Abeer Aljohani
Parkinson's disease (PD) is classified as a neurological, progressive illness brought on by cell death in the posterior midbrain. Early PD detection will assist doctors in reducing the disease's consequences. A collection of skilled models ...