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目的:运用数据挖掘技术探讨古代文献中针灸治疗心痛的选穴规律,为临床针灸治疗心痛类症状提供参考。方法:检索“针灸古籍中腧穴主治的计算机检索系统”,按纳入和排除标准筛选文献并提取腧穴处方,采用IBM SPSS Statistics25.0、IBM SPSS Modeler18.0软件进行描述性分析和关联、因子分析。结果:共筛选出《黄帝内经》《中国简明针灸治疗学》等73本古籍中有效处方共394例。描述性分析提示,针灸治疗心痛使用频次前5位的腧穴是中脘、上脘、巨阙、大陵、内关;任脉、心包经、膀胱经是最常选取的经脉;特定穴方面,主要选取五输穴、募穴、原穴;高频穴对为中脘、上脘,巨阙、中脘,内关、大陵。运用数据挖掘技术得到针灸治疗心痛的核心腧穴处方为中脘-上脘-巨阙;因子分析共提取出9个公因子组。结论:古代文献中,针灸治疗心痛,一般选用心系经脉或相表里经脉腧穴,而对于因其他脏腑气机逆乱所致的心痛,一般选择针灸其原发脏腑或与其相表里脏腑经脉之腧穴;兼见其他脏腑症状者,取相关脏腑之经脉对症治疗。  相似文献   
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目的:针对针刺治疗重症肌无力的临床取穴处方进行数据分析,进一步分析针刺取穴规律,旨在为重症肌无力的临床医治提供依据。方法:整理2019年12月前符合纳入标准的文献,并摘录穴位处方,形成Excel数据库,分析文献中针刺处方特点。结果:现代针刺治疗重症肌无力使用频次最高的穴位依次为足三里、攒竹、合谷等;选用最多的特定穴为五腧穴、原穴以及合穴;选取的穴位主要集中在膀胱经、督脉、胃经;配穴上以三部配穴为主,远端配穴及局部取穴也较为重视;Osserman分型下的选穴各有其特点。结论:近代医家治疗重症肌无力多为“三部配穴”,重视“治痿独取阳明”及“调摄阴阳”的理论,可指导针灸临床。  相似文献   
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目的基于现代文献分析针刺治疗原发性痛经辨证选穴的用穴规律。方法系统检索中国知网、万方数据知识服务平台、维普数据库自建库至2018年10月20日的针刺治疗原发性痛经辨证选穴的相关文献,将文献导入Note express软件进行查重,根据纳入、排除标准进行选择,建立Excel工作表对将最终纳入文献的年份、文题、文章类型、辨证分型、各证型针刺选穴等信息进行提取,同时对文献中证型名称、腧穴名称进行规范化管理,并运用SPSS 20.0统计软件进行频次、频率分析。结果(1)共检索到1656篇文献,纳入46篇,共涉及64个穴位,11种证型。(2)11种证型分为实证、虚证2类,其中实证用穴59个、虚证用穴46个。实证选穴使用频次位居前5位的是三阴交、关元、次髎、地机、太冲;虚证选穴使用频次位居前5位的是足三里、三阴交、关元、次髎、肾俞。对所有实证、虚证选穴的所属经脉分别进行统计,实证前5条经脉依次是足太阴脾经、任脉、足太阳膀胱经、足厥阴肝经、足阳明胃经;虚证前5条经脉依次是足太阳膀胱经、任脉、足太阴脾经、足阳明胃经、足少阴肾经。(3)11种证型根据出现频次高低依次为气滞血瘀证、寒湿阻滞证、气血两虚证、肝肾亏虚证、寒凝血瘀证、肝郁气滞证、湿热瘀阻证、肝郁湿热证、肾气亏虚证、寒凝证、胞宫虚寒证;以上证型使用频次位居前5位的依次是三阴交、关元、次髎、地机、太冲。同时各证型具体选穴又有所不同,其中前5个证型其使用频次位居前5位的穴位分别如下,气滞血瘀证:太冲、三阴交、关元、次髎、地机;寒湿阻滞证:三阴交、关元、地机、次髎、中极;气血两虚证:足三里、三阴交、关元、气海、次髎;肝肾亏虚证:肾俞、三阴交、关元、肝俞、足三里;寒凝血瘀证:关元、三阴交、次髎、中极、肾俞。结论针刺治疗原发性痛经总体选穴以阴经穴位为主,多选用足太阴脾经、任脉腧穴。辨证分型以气滞血瘀证最为多见,各证型间、实证和虚证间具体选穴有所不同,均体现了辨证选穴。  相似文献   
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ObjectiveTo develop a prediction model for survival of patients with coronary artery disease (CAD) using health conditions beyond cardiovascular risk factors, including maximal exercise capacity, through the application of machine learning (ML) techniques.MethodsAnalysis of data from a retrospective cohort linking clinical, administrative, and vital status databases from 1995 to 2016 was performed. Inclusion criteria were age 18 years or older, diagnosis of CAD, referral to a cardiac rehabilitation program, and available baseline exercise test results. Primary outcome was death from any cause. Feature selection was performed using supervised and unsupervised ML techniques. The final prognostic model used the survival tree (ST) algorithm.ResultsFrom the cohort of 13,362 patients (60±11 years; 2400 [18%] women), 1577 died during a median follow-up of 8 years (interquartile range, 4 to 13 years), with an estimated survival of 67% up to 21 years. Feature selection revealed age and peak metabolic equivalents (METs) as the features with the greatest importance for mortality prediction. Using these 2 features, the ST generated a long-term prediction with a C-index of 0.729 by splitting patients in 8 clusters with different survival probabilities (P<.001). The ST root node was split by peak METs of 6.15 or less or more than 6.15, and each patient’s subgroup was further split by age or other peak METs cut points.ConclusionApplying ML techniques, age and maximal exercise capacity accurately predict mortality in patients with CAD and outperform variables commonly used for decision-making in clinical practice. A novel and simple prognostic model was established, and maximal exercise capacity was further suggested to be one of the most powerful predictors of mortality in CAD.  相似文献   
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BackgroundParkinson’s disease (PD) is a chronic and progressive neurodegenerative disease with no cure, presenting a challenging diagnosis and management. However, despite a significant number of criteria and guidelines have been proposed to improve the diagnosis of PD and to determine the PD stage, the gold standard for diagnosis and symptoms monitoring of PD is still mainly based on clinical evaluation, which includes several subjective factors. The use of machine learning (ML) algorithms in spatial-temporal gait parameters is an interesting advance with easy interpretation and objective factors that may assist in PD diagnostic and follow up.Research questionThis article studies ML algorithms for: i) distinguish people with PD vs. matched-healthy individuals; and ii) to discriminate PD stages, based on selected spatial-temporal parameters, including variability and asymmetry.MethodsGait data acquired from 63 people with PD with different levels of PD motor symptoms severity, and 63 matched-control group individuals, during self-selected walking speed, was study in the experiments.ResultsIn the PD diagnosis, a classification accuracy of 84.6 %, with a precision of 0.923 and a recall of 0.800, was achieved by the Naïve Bayes algorithm. We found four significant gait features in PD diagnosis: step length, velocity and width, and step width variability. As to the PD stage identification, the Random Forest outperformed the other studied ML algorithms, by reaching an Area Under the ROC curve of 0.786. We found two relevant gait features in identifying the PD stage: stride width variability and step double support time variability.SignificanceThe results showed that the studied ML algorithms have potential both to PD diagnosis and stage identification by analysing gait parameters.  相似文献   
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Background

Early interdisciplinary rehabilitation (EIR) in neurointensive care is a limited resource reserved for patients with moderate to severe traumatic brain injury (TBI) believed to profit from treatment. We evaluated how key parameters related to injury severity and patient characteristics were predictive of receiving EIR, and whether these parameters changed over time.

Methods

Among 1003 adult patients with moderate to severe TBI admitted over 72 h to neurointensive care unit during four time periods between 2005 and 2020, EIR was given to 578 and standard care to 425 patients. Ten selection criteria thought to best represent injury severity and patient benefit were evaluated (Glasgow Coma Scale, Head Abbreviated Injury Scale, New-Injury-Severity-Scale, intracranial pressure monitoring, neurosurgery, age, employment, Charlson Comorbidity Index, severe psychiatric disease, and chronic substance abuse).

Results

In multivariate regression analysis, patients who were employed (adjOR 1.99 [95% CI 1.41, 2.80]), had no/mild comorbidity (adjOR 3.15 [95% CI 1.72, 5.79]), needed neurosurgery, had increasing injury severity and were admitted by increasing time period were more likely to receive EIR, whereas receiving EIR was less likely with increasing age (adjOR 0.97 [95% CI 0.96, 0.98]) and chronic substance abuse. Overall predictive ability of the model was 71%. Median age and comorbidity increased while employment decreased from 2005 to 2020, indicating patient selection became less restrictive with time.

Conclusion

Injury severity and need for neurosurgery remain important predictors for receiving EIR, but the importance of age, employment, and comorbidity have changed over time. Moderate prediction accuracy using current clinical criteria suggest unrecognized factors are important for patient selection.  相似文献   
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T cell replete HLA-mismatched haploidentical transplantation (HIDT) with post-transplant cyclophosphamide is increasingly becoming an acceptable treatment approach for patients lacking timely access to a suitably matched related donor transplant (MRDT) or matched unrelated donor transplant (MUDT). Multiple recent registry and single-center studies have shown comparable overall survival (OS) and disease-free survival (DFS) rates among HIDT, MRDT, and MUDT with a significantly lower risk of acute and chronic graft-versus-host disease (GVHD) among HIDT recipients. Candidates for allogeneic hematopoietic stem cell transplantation (HSCT) often have access to multiple donor sources, and a relevant question is whether outcomes can be improved with a younger HLA-mismatched haploidentical donor (≤35 years) rather than an older matched related donor (≥35 years) or matched unrelated donor (≥35 years). We analyzed 406 consecutive allogenic HSCT recipients, with a median age of 54 years (range, 19 to 77), after a MRDT with a donor age of ≥35 years (n = 222), MUDT with a donor age of ≥35 years (n = 91), and HIDT with a donor age of ≤35 years (n = 93). Median follow-up time for survivors was 51.5 months. Compared with MRDT and MUDT, HIDT recipients had a similar median age at time of HSCT, hematopoietic cell transplant comorbidity index, disease risk index distribution, and donor recipient sex matching. The survival estimates and relapse incidence at 3 years post-HSCT were OS (64% for MRDT, 54% for MUDT, and 62% for HIDT), DFS (55% for MRDT, 44% for MUDT, and 58% for HIDT), Transplant related mortality (TRM) (19% for MRDT, 16% for MUDT, and 18% for HIDT), and relapse (26% for MRDT, 37% for MUDT, and 24% for HIDT). HIDT recipients had better 3-year relapse rates compared with MUDT recipients (24% versus 37%, P= .048), with similar DFS and OS in a univariate analysis. MRDT recipients had a better relapse rate (26% versus 37%, P = .042) compared with MUDT recipients. Recipients of HIDT also had significantly lower rates of moderate to severe chronic GVHD compared with MRDT and MUDT recipients (P = .01). Multivariable analysis showed no effect of donor on OS, DFS, relapse, and TRM. Recipients of HIDT from a young donor ≤35 years had similar OS, lower rates of chronic GVHD, and better chronic GVHD-free, relapse-free survival compared with patients undergoing transplantation with an MRD or a MUD donor ≥35 years. This study suggests that given a situation where a choice between a young haploidentical relative and an older matched unrelated donor is to be made, one can achieve similar survival with a haploidentical donor and significantly lower rates of chronic GVHD.  相似文献   
10.
张曼  韩亭亭  胡春芳  白岩  樊泽鹏  洪琳 《中草药》2019,50(20):5103-5108
近年来,白及产业发展迅速,在医药、保健、美容等领域广泛应用,但是仍存在制约产业可持续发展的问题。通过对白及市场和产业发展现状进行实地调查,查阅相关文献并结合课题组研究成果,发现其主要存在以下制约因素:野生资源短缺,品种参差不齐;作用机制不明确,综合利用程度低;质量标准不明确,品质难以控制;产业层次低,产业集群发展缓慢等。因此,应通过加强白及种质资源保护和优良品种选育,深化白及作用机制和综合开发利用研究,完善白及质量评价体系,实施品牌战略,拓展销售市场等方法促进白及产业健康及可持续发展。  相似文献   
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