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Experimental paradigms used in affective and clinical science often use stimuli such as images, scenarios, videos, or words to elicit emotional responses in study participants. Choosing appropriate stimuli that are highly evocative is essential to the study of emotional processes in both healthy and clinical populations. Selecting one set of stimuli that will be relevant for all subjects can be challenging because not every person responds the same way to a given stimulus. Machine learning can facilitate the personalization of such stimuli. The current study applied a novel statistical approach called a recommender algorithm to the selection of highly threatening words for a trauma-exposed population (N?=?837). Participants rated 513 threatening words, and we trained a user–user collaborative filtering recommender algorithm. The algorithm uses similarities between individuals to predict ratings for unrated words. We compared threat ratings for algorithm-based word selection to a random word set, a word set previously used in research, and trauma-specific word sets. Algorithm-selected personalized words were more threatening compared to non-personalized words with large effects (ds?=?2.10–2.92). Recommender algorithms can automate the personalization of stimuli from a large pool of possible stimuli to maximize emotional reactivity in research paradigms. These methods also hold potential for the personalization of behavioral treatments administered remotely where a provider is not available to tailor an intervention to the individual. The word personalization algorithm is available for use online (https://threat-word-predictor.herokuapp.com/). 相似文献
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目的:分析2007年以来国内外有关患者安全与医疗质量评价指标的引用情况,为首都医科大学附属北京儿童医院患者安全与医疗质量评价指标体系的构建提供借鉴。方法:采用循证分析的方法对搜集到的367篇中英文文献进行分析。结果:最终纳入146篇文献,中文文献132篇,共提取150项指标,总引用频次≥10的指标共27项;英文文献14篇,共提取34项指标,总引用频次≥5的指标共16项。结论:各级医疗机构应加大对患者安全的关注,规范指标的应用,学会善于使用负向指标,不断拓宽患者安全指标的涵盖广度。 相似文献
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Andrew D Boyd Jianrong ‘John’ Li Colleen Kenost Binoy Joese Young Min Yang Olympia A Kalagidis Ilir Zenku Donald Saner Neil Bahroos Yves A Lussier 《J Am Med Inform Assoc》2015,22(3):730-737
In the United States, International Classification of Disease Clinical Modification (ICD-9-CM, the ninth revision) diagnosis codes are commonly used to identify patient cohorts and to conduct financial analyses related to disease. In October 2015, the healthcare system of the United States will transition to ICD-10-CM (the tenth revision) diagnosis codes. One challenge posed to clinical researchers and other analysts is conducting diagnosis-related queries across datasets containing both coding schemes. Further, healthcare administrators will manage growth, trends, and strategic planning with these dually-coded datasets. The majority of the ICD-9-CM to ICD-10-CM translations are complex and nonreciprocal, creating convoluted representations and meanings. Similarly, mapping back from ICD-10-CM to ICD-9-CM is equally complex, yet different from mapping forward, as relationships are likewise nonreciprocal. Indeed, 10 of the 21 top clinical categories are complex as 78% of their diagnosis codes are labeled as “convoluted” by our analyses. Analysis and research related to external causes of morbidity, injury, and poisoning will face the greatest challenges due to 41 745 (90%) convolutions and a decrease in the number of codes. We created a web portal tool and translation tables to list all ICD-9-CM diagnosis codes related to the specific input of ICD-10-CM diagnosis codes and their level of complexity: “identity” (reciprocal), “class-to-subclass,” “subclass-to-class,” “convoluted,” or “no mapping.” These tools provide guidance on ambiguous and complex translations to reveal where reports or analyses may be challenging to impossible.Web portal: http://www.lussierlab.org/transition-to-ICD9CM/Tables annotated with levels of translation complexity: http://www.lussierlab.org/publications/ICD10to9 相似文献
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Correlations between plasma strontium concentration,components of calcium and phosphate metabolism and renal function in type 2 diabetes mellitus 下载免费PDF全文
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Combined Influence of Gestational Weight Gain and Estimated Fetal Weight on Risk Assessment for Small‐ or Large‐for‐Gestational‐Age Birth Weight: A Prospective Cohort Study 下载免费PDF全文
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François Lamontagne Andrew G. Day Maureen O. Meade Deborah J. Cook Gordon H. Guyatt Mathieu Hylands Peter Radermacher Jean-Marie Chrétien Nicolas Beaudoin Paul Hébert Frédérick D’Aragon Ferhat Meziani Pierre Asfar 《Intensive care medicine》2018,44(1):12-21
Purpose
Guidelines for shock recommend mean arterial pressure (MAP) targets for vasopressor therapy of at least 65 mmHg and, until recently, suggested that patients with underlying chronic hypertension and atherosclerosis may benefit from higher targets. We conducted an individual patient-data meta-analysis of recent trials to determine if patient variables modify the effect of different MAP targets.Methods
We searched the MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials for randomized controlled trials of higher versus lower blood pressure targets for vasopressor therapy in adult patients in shock (until November 2017). After obtaining individual patient data from both eligible trials, we used a modified version of the Cochrane Collaboration’s instrument to assess the risk of bias of included trials. The primary outcome was 28-day mortality.Results
Included trials enrolled 894 patients. Controlling for trial and site, the OR for 28-day mortality for the higher versus lower MAP targets was 1.15 (95% CI 0.87–1.52). Treatment effect varied by duration of vasopressors before randomization (interaction p = 0.017), but not by chronic hypertension, congestive heart failure or age. Risk of death increased in higher MAP groups among patients on vasopressors > 6 h before randomization (OR 3.00, 95% CI 1.33–6.74).Conclusions
Targeting higher blood pressure targets may increase mortality in patients who have been treated with vasopressors for more than 6 h. Lower blood pressure targets were not associated with patient-important adverse events in any subgroup, including chronically hypertensive patients.1000.
Tjallie van der Kooi Hugo Sax Didier Pittet Jaap van Dissel Birgit van Benthem Bernhard Walder Vanessa Cartier Lauren Clack Sabine de Greeff Martin Wolkewitz Stefanie Hieke Hendriek Boshuizen Jan van de Kassteele Annemie Van den Abeele Teck Wee Boo Magda Diab-Elschahawi Uga Dumpis Camelia Ghita Susan FitzGerald Tatjana Lejko Kris Leleu Mercedes Palomar Martinez Olga Paniara Márta Patyi Paweł Schab Annibale Raglio Emese Szilágyi Mirosław Ziętkiewicz Albert W. Wu Hajo Grundmann Walter Zingg On behalf of the PROHIBIT consortium 《Intensive care medicine》2018,44(1):48-60