日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Predicting peripheral venous catheter related phlebitis using machine learning (PPML): development and prospective validation of PPML for cardiology inpatients

利用机器学习预测外周静脉导管相关性静脉炎(PPML):PPML在心脏病住院患者中的开发和前瞻性验证

Welvaars, Koen; Groenendaal, Femke; van den Bekerom, Michel P J; Doornberg, Job N; van Haarst, Ernst P; Riezebos, Robert

Three Novel Genomes Broaden the Wild Side of the Capsicum Pangenome

三种新型基因组拓展了辣椒泛基因组的野生面

Papastolopoulou, Christina; Nieuwenhuis, Ronald; Warris, Sven; Bakker, Linda V; van Haarst, Jan; Cordewener, Jan; Hesselink, Thamara; van den Broeck, Hetty; van Dooijeweert, Willem; de Jong, Hans; Chunwongse, Julapark; Trivino, Sara Diaz; Schijlen, Elio; de Ridder, Dick; Smit, Sandra; Peters, Sander A

Evaluation of the safety, tolerability, pharmacokinetics and pharmacodynamics of SM17 in healthy volunteers: results from pre-clinical models and a first-in-human, randomized, double blinded clinical trial

评估 SM17 在健康志愿者中的安全性、耐受性、药代动力学和药效学:临床前模型和首次人体随机双盲临床试验的结果

Guolin Xu, Sabina Paglialunga, Xuchen Qian, Ru Ding, Kenneth Webster, Aernout van Haarst, Caroline Engel, Chin Wai Hui, Lik Hang Lam, Weimin Li, Wai Chung Wu, Scott Rasmussen, Allen Hunt, Shui-On Leung

Innovative Approaches to Optimize Clinical Transporter Drug-Drug Interaction Studies

优化临床转运体药物相互作用研究的创新方法

Paglialunga, Sabina; Benrimoh, Natacha; van Haarst, Aernout

Optimising primary molecular profiling in non-small cell lung cancer

优化非小细胞肺癌的原发性分子分析

R D Schouten, I Schouten, M M F Schuurbiers, V van der Noort, R A M Damhuis, E H F M van der Heijden, J A Burgers, N P Barlo, A S R van Lindert, K W Maas, J J G van den Brand, A A J Smit, J M W van Haarst, B van der Maat, E Schuuring, H Blaauwgeers, S M Willems, K Monkhorst, D van den Broek, M M van

The Gynandropsis gynandra genome provides insights into whole-genome duplications and the evolution of C4 photosynthesis in Cleomaceae

白花菜(Gynandropsis gynandra)基因组为白花菜科植物的全基因组复制和C4光合作用的进化提供了新的见解。

Hoang, Nam V; Sogbohossou, E O Deedi; Xiong, Wei; Simpson, Conor J C; Singh, Pallavi; Walden, Nora; van den Bergh, Erik; Becker, Frank F M; Li, Zheng; Zhu, Xin-Guang; Brautigam, Andrea; Weber, Andreas P M; van Haarst, Jan C; Schijlen, Elio G W M; Hendre, Prasad S; Van Deynze, Allen; Achigan-Dako, Enoch G; Hibberd, Julian M; Schranz, M Eric

Prevalence and Predictors of Physician-Patient Discordance in Prognostic Perceptions in Advanced Cancer

晚期癌症患者预后认知中医患差异的普遍性及预测因素

van der Velden, Naomi Cornelia Anna; Han, Paul K J; van Laarhoven, Hanneke W M; de Vos, Filip Y F L; Hendriks, Lizza E L; Burgers, Sjaak A; Dingemans, Anne-Marie C; van Haarst, Jan Maarten W; Dits, Joyce; Smets, Ellen M A; Henselmans, Inge

Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients

评估机器学习算法预测泌尿科患者30天内非计划再入院率(PURE)

Welvaars, Koen; van den Bekerom, Michel P J; Doornberg, Job N; van Haarst, Ernst P

Implications of resampling data to address the class imbalance problem (IRCIP): an evaluation of impact on performance between classification algorithms in medical data

重采样数据解决类别不平衡问题(IRCIP)的意义:评估其对医学数据分类算法性能的影响

Welvaars, Koen; Oosterhoff, Jacobien H F; van den Bekerom, Michel P J; Doornberg, Job N; van Haarst, Ernst P

Characteristics of patients with advanced cancer preferring not to know prognosis: a multicenter survey study

晚期癌症患者不愿了解预后特征:一项多中心调查研究

van der Velden, Naomi C A; van Laarhoven, Hanneke W M; Burgers, Sjaak A; Hendriks, Lizza E L; de Vos, Filip Y F L; Dingemans, Anne-Marie C; Jansen, Joost; van Haarst, Jan-Maarten W; Dits, Joyce; Smets, Ellen Ma; Henselmans, Inge