With a rapidly-growing amount of biomedical information available only in textual form, there is considerable interest in applying NLP techniques to extract such information from the biomedical literature. Much of the research has paid special attention to extracting information about biomedical named entities. In this paper, we conducted a survey on biomedical named entity recognition and normalization, focusing on gene mention recognition and normalization. We believe this can help researchers to find work of their interest and interpret their own research.

• MeSH
• Data Mining * methods   MeSH
• Genes MeSH
• Information Systems MeSH
• Medical Informatics methods   MeSH
• Pattern Recognition, Automated * methods   MeSH
• Information Storage and Retrieval methods   MeSH

• MeSH
• Ecology MeSH
• Population MeSH
• Environmental Exposure MeSH
• Health MeSH
• Publication type
• Book Review MeSH

OF RECOMMENDATIONS1. Oxytocin for induction or augmentation of labor should not be started when there is a previous scar on the body of the uterus (such as previous classical cesarean section, uterine perforation or myomectomy when uterine cavity is reached) or in any other condition where labor or vaginal delivery are contraindicated. (Moderate quality evidence +++-; Strong recommendation).2. Oxytocin should not be started before at least 1 h has elapsed since amniotomy, 6 h since the use of dinoprostone (30 min if vaginal insert) and 4 h since the use of misoprostol (Low quality evidence ++- -; Moderate recommendation).3. Cardiotocography (CTG) should be performed and a normal pattern without tachysystole should be documented for at least 30 min before oxytocin is used. Continuous CTG, with adequate monitoring of both fetal heart rate and uterine contractions, should be maintained for as long as oxytocin is used, and thereafter until delivery (Low ++- - to moderate +++- quality evidence; Strong recommendation).4. For labor induction, at least 1-h should be allowed after amniotomy before oxytocin infusion is started, to evaluate whether adequate uterine contractility has meanwhile ensued. For augmentation of labor, if the membranes are intact and there are conditions for a safe amniotomy, the latter should be considered before oxytocin is started (Very low quality evidence +- --; Weak recommendation).5. Oxytocin should be administered intravenously using the following regimen: 5 IU oxytocin diluted in 500 mL of 0.9% normal saline (NaCl) (each mL contains 10 mIU of oxytocin), in an infusion pump at increasing rates, as shown in Table 1, until a frequency of 3-4 contractions per 10 min is reached, a non-reassuring CTG pattern ensues, or maximum rates are reached (Low quality evidence ++ - -; Strong recommendation). If the frequency of contractions exceeds 5 in 10 min, the infusion rate should be reduced, even if a normal CTG pattern is present. With a non-reassuring CTG pattern, urgent clinical assessment by an obstetrician is indicated, and strong consideration should be given to reducing or stopping the oxytocin infusion. The minimal effective dose of oxytocin should always be used. (Low ++- - to Moderate +++- - quality evidence; Strong recommendation).[Table: see text]6. Use of oxytocin for induction and augmentation of labor should be regularly audited (Low quality evidence ++--; Strong recommendation).

• MeSH
• Cesarean Section MeSH
• Labor, Induced * MeSH
• Humans MeSH
• Misoprostol MeSH
• Infant, Newborn MeSH
• Oxytocin therapeutic use   MeSH
• Perinatal Care MeSH
• Pregnancy MeSH
• Oxytocics * therapeutic use   MeSH
• Check Tag
• Humans MeSH
• Infant, Newborn MeSH
• Pregnancy MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Data on the long-term neurodevelopmental outcomes of children exposed to hematological maternal cancer with or without treatment during pregnancy are lacking. A total of 57 children, of whom 33 males and 24 females, prenatally exposed to hematological malignancies and its treatment, were invited for neuropsychological and physical examinations at 18 months, 36 months, 6, 9, 12, 15 and 18 years of age. Oncological, obstetrical, neonatal and follow-up data of these children were collected. Parents were asked to complete questionnaires on their child's general health, school performances, social situation, behavioral development, executive functioning, and if their child receives supportive care. Non-Hodgkin lymphoma was diagnosed in 35.1%, Hodgkin lymphoma in 28.1%, acute myeloid leukemia in 15.8%, chronic myeloid leukemia in 12.3%, and acute lymphoblastic leukemia in 8.8%. Cognitive development at a median age of 10.7 years was within the normal range. In subgroup analyses of children in early childhood, the gestational age at birth was correlated with the cognitive outcome at a median age of 1.7 years. Scores for language development, intelligence, attention, memory and behavior, as well as clinical neurological and general pediatric examinations were within normal ranges. In subgroup analyses, the need for supportive care in the child was associated with the loss of the mother. Prenatal exposure to hematological maternal malignancies with or without treatment did not affect the neurodevelopment of the child in the long term. Yet, caution is indicated and surveillance of the emotional development of the child is needed, especially when the mother is deceased to cancer.

• MeSH
• Child MeSH
• Hematologic Neoplasms * complications   MeSH
• Intelligence MeSH
• Infant MeSH
• Humans MeSH
• Mothers MeSH
• Infant, Newborn MeSH
• Child, Preschool MeSH
• Antineoplastic Agents * MeSH
• Pregnancy MeSH
• Child Development MeSH
• Prenatal Exposure Delayed Effects * MeSH
• Check Tag
• Child MeSH
• Infant MeSH
• Humans MeSH
• Male MeSH
• Infant, Newborn MeSH
• Child, Preschool MeSH
• Pregnancy MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH

• Keywords
• analýza přežívání,
• MeSH
• Biometry MeSH
• Statistics as Topic MeSH
• Health MeSH

• Conspectus
• Statistika
• NML Fields
• lékařství
• statistika

• MeSH
• Health Promotion MeSH
• Sweetening Agents MeSH
• Cooking MeSH
• Diet, Healthy MeSH
• Health MeSH
• Publication type
• Popular Work MeSH
• Handbook MeSH

• Conspectus
• Veřejné zdraví a hygiena
• NML Fields
• preventivní medicína
• zdravotní výchova
• nutriční terapie, dietoterapie a výživa
• NML Publication type
• brožury

• MeSH
• Burnout, Professional MeSH
• Stress, Psychological history   classification   therapy   MeSH
• Combat Disorders psychology   MeSH
• Health MeSH

• Conspectus
• Psychologie
• Učební osnovy. Vyučovací předměty. Učebnice
• NML Fields
• psychologie, klinická psychologie
• vojenské lékařství
• NML Publication type
• učebnice vysokých škol

Background: Many previous studies on mining prescription sequences are based only on frequency information, such as the number of prescriptions and the total number of patients issued the prescription. However, in cases where a very small number of doctors issue a prescription representative of a certain medication pattern to many patients many times, the prescribing intention of this very small number of doctors has a great influence on pattern extraction, which introduces bias into the final extracted frequent prescription sequence pattern. Objectives: We attempt to extract frequent prescription sequences from more diverse perspectives by considering factors other than frequency information to ensure highly reliable medication patterns. Methods: We propose the concept of unbiased frequent use by doctors as a factor in addition to frequency information based on the hypothesis that a prescription used by many doctors unbiasedly is a highly reliable prescription. We propose a medication pattern mining method that considers unbiased frequent use by doctors. We conducted an evaluation experiment using indicators based on clinical laboratory test results as a comparative evaluation of the existing method, which relied only on frequency, and included consideration of unbiased frequent use by doctors by the proposed method. Results: The weighted average value of the top k for two different evaluation methods is obtained. Conclusions: The study suggested that our medication pattern mining method considering unbiased frequent use by doctors is useful in certain situations such as when the clinical laboratory test value is outside of the normal value range.

• MeSH
• Data Mining methods   MeSH
• Electronic Prescribing classification   standards   MeSH
• Prescriptions * classification   standards   MeSH
• Medical Order Entry Systems MeSH

• MeSH
• Interpersonal Relations MeSH
• Beauty MeSH
• Moon MeSH
• Gardening MeSH
• Health MeSH
• Health Education MeSH
• Publication type
• Popular Work MeSH

• Conspectus
• Hygiena. Lidské zdraví
• NML Fields
• zdravotní výchova

• MeSH
• Diet Therapy MeSH
• Health Promotion MeSH
• Sorption Detoxification MeSH
• Cooking MeSH
• Diet, Healthy MeSH
• Health MeSH
• Publication type
• Popular Work MeSH
• Handbook MeSH

• Conspectus
• Veřejné zdraví a hygiena
• NML Fields
• preventivní medicína
• zdravotní výchova
• nutriční terapie, dietoterapie a výživa
• NML Publication type
• brožury