¼±Åà - È­»ìǥŰ/¿£ÅÍŰ ´Ý±â - ESC

 
"probability learning"¿¡ ´ëÇÑ °Ë»ö °á°úÀÔ´Ï´Ù. °Ë»ö °á°ú º¸´Â µµÁß¿¡ Tab ۸¦ ´©¸£½Ã¸é °Ë»ö âÀÌ ¼±Åõ˴ϴÙ.
¾Ë±â½¬¿î ÀÇÇпë¾îÇ®ÀÌÁý, ¼­¿ïÀÇ´ë ±³¼ö ÁöÁ¦±Ù, °í·ÁÀÇÇÐ ÃâÆÇ À¯»ç °Ë»ö °á°ú : 2 ÆäÀÌÁö: 1
¿µ¹® learning ÇÑ±Û ÇнÀ
¼³¸í   
  ¿¬½À ¹× °æÇèÀÇ °á°ú·Î, Çൿ¿¡ ³ªÅ¸³ª´Â ¹Ý¿µ±¸ÀûÀΠº¯È­¸¦ °¡¸®Å°´Â ÀϹÝÀû ¿ë¾î. ÇൿÀÇ º¯È­´Â °üÂûÇÒ ¼ö Àִ Çö»óÀ¸·Î¼­ Æ¯È÷ À̸¦ ¼öÇà(performance)À̶ó°í ºÎ¸£´Â °æ¿ì°¡ Àִµ¥, ±×·¯ÇÑ °æ¿ì¿¡ ±× Çö»óÀÇ ¹èÈÄ¿¡ °¡¼³ÀûÀ¸·Î ±¸¼ºµÈ ½Àµæ(acquisition)ÀÇ °úÁ¤À» ÁöĪÇϰԠµÈ´Ù.
¿µ¹® learning disorder ÇÑ±Û ÇнÀÀå¾Ö
¼³¸í   
  Áö´ÉÀº Á¤»óÀÌÁö¸¸ µè±â, ¸»Çϱâ, Àбâ, ¾²±â, Ã߸® ¶Ç´Â °è»ê´É·Â¿¡ ½É°¢ÇÑ ¹®Á¦°¡ ³ªÅ¸³ª´Â ¿©·¯ Àå¾ÖµéÀ» ÀÏÄ´ ¿ë¾î. À̷ΠÀÎÇØ Çо÷¼ºÀû ¹× Àڽۨ ÀúÇÏ, ´ëÀΰü°è¿¡¼­µµ »ç±³ ´É·ÂÀÌ ¹Ì¼÷ÇÏ¿© ÀÏ»ó»ýȰÀÇ ¸ðµç ¸é¿¡¼­ ¹®Á¦°¡ ³ªÅ¸³­´Ù. ¼ºÀα⠻çȸÀûÀÀ·Â¿¡µµ ¿µÇâÀ» ¹ÌÄ¥ ¼ö ÀÖÀ¸¸ç, ÇൿÀå¾Ö, ÁÖÀǷ°áÇÌ, °úÀ׿Àå¾Ö, ¿ì¿ïÀå¾Ö µî°ú µ¿¹ÝµÇ¾î ³ªÅ¸³¯ ¼ö ÀÖ´Ù. ±× À¯º´·üÀº ³·°Ô´Â 1.7%, ³ô°Ô´Â 30% Á¤µµ·Î ÃßÁ¤Çϰí ÀÖÁö¸¸ Çе¿±â ¾Æµ¿ÀÇ ¾à 3~9%°¡ ÀÌ Àå¾Ö¸¦ °®°í Àִ °ÍÀ¸·Î ¾Ë·ÁÁ® ÀÖ´Ù. ±âÃÊÇнÀ±â´É°Ë»ç¸¦ ÅëÇÏ¿© Áø´ÜÇÑ´Ù. ÇнÀÀÇ ±âȸ³ª ±³À°ÀûÀΠÀÚ±ØÀÌ ºÎÁ·ÇÑ °æ¿ì, ÁýÁ߷ ºÎÁ·, ¿ì¿ïÁõ-ºÒ¾È µî Á¤¼­Àû ¹®Á¦, ½Å°æÇÐÀû À̻󿡠ÀÇÇÑ °æ¿ì µîÀÌ ¿øÀÎÀÏ ¼ö ÀÖ´Ù. ÇнÀ°ú °ü·ÃÀÌ Àִ ³ú±â´É°ú ¿¬°üµÈ Æ¯Á¤¿µ¿ª¿¡ °áÇÔÀÌ Àְųª ¹ßÀ°Áö¿¬ ¶Ç´Â Àå¾Ö°¡ Àִ °æ¿ìµµ ¿øÀÎÀÌ µÈ´Ù. ¶ÇÇÑ ºÎ¸ð°¡ Á¶±â¿¡ ÀÚ³àÀÇ ´É·Â°ú Àû¼ºÀ» Àß ¾ËÁö ¸øÇϴ °æ¿ì¿¡µµ ¸¹ÀÌ »ý±ä´Ù.
´ëÇÑÀÇÇù ÀÇÇпë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 15 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
  • conditional probability
    Á¶°ÇºÎÈ®·ü
  • probability
    È®·ü
  • probability amplitude
    È®·üÆø
  • probability curve
    È®·ü°î¼±
  • probability distribution
    È®·üºÐÆ÷
  • probability graph
    È®·üµµÇ¥
  • probability paper
    È®·ü¸ð´«Á¾ÀÌ
  • probability sample
    È®·üÇ¥º»
  • cognitive social learning
    ÀÎÁö»çȸÇнÀ
  • conditioned learning
    Á¶°ÇÈ­ÇнÀ
  • discrimination learning
    ½Äº°ÇнÀ
  • escape learning
    µµÇÇÇнÀ
  • instrumental learning
    µµ±¸ÇнÀ
  • learning
    ÇнÀ
  • learning curve
    ÇнÀ°î¼±
´ëÇÑÀÇÇù Çʼö ÀÇÇпë¾îÁý »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 5 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
  • probability
    È®·ü
  • learning curve
    ÇнÀ°î¼±
  • learning disorder
    ÇнÀÀå¾Ö
  • learning
    ÇнÀ
  • problem based learning
    ¹®Á¦¹ÙÅÁÇнÀ
¿¾ ´ëÇÑÀÇÇù ÀÇÇпë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 15 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
  • probability amplitude
    È®·üÁøÆø
  • conditional probability
    Á¶°ÇºÎÈ®·ü
  • probability curve
    È®·ü°î¼±
  • probability density
    È®·ü¹Ðµµ
  • probability distribution
    È®·üºÐÆ÷
  • probability graph
    È®·üµµÇ¥
  • probability
    È®·ü
  • probability paper
    È®·ü¸ð´«Á¾ÀÌ
  • probability sample
    È®·üÇ¥º»
  • tumor control probability
    Á¾¾ç¾ïÁ¦À²
  • cognitive social learning
    ÀÎÁö»çȸÇнÀ
  • conditioned learning
    Á¶°ÇÈ­ÇнÀ
  • discrimination learning
    ½Äº°ÇнÀ
  • learning disorder
    ÇнÀÀå¾Ö
  • escape learning
    µµÇÇÇнÀ
¿¾ ´ëÇÑÀÇÇù 2 ÀÇÇпë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 15 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
  • Learning
    ÇнÀ(ùÊã§)
  • instrumental learning
    µµ±¸Àû ÇнÀ
  • Gaussian probability distribution
    °¡¿ì½ºÈ®·üºÐÆ÷
  • probability
    È®·ü(Ì·Ëô).
  • probability
    È®·ü
  • probability a posteriori
    »çÈÄÈ®·ü(Ë×Ì· Ì·Ëô).
  • probability a priori
    »çÀüÈ®·ü(Ë×ËøÌ·Ëô).
  • probability amplitude
    È®·üÁøÆø(¡­òÉøë).
  • probability curve
    È®·ü°î¼±(ÊÙË­ËÛ).
  • probability distribution
    È®·üºÐÆ÷
  • probability function
    È®·üÇÔ¼ö(ÊṴ̀Ëà).
  • probability graph
    È®·üµµÇ¥
  • probability of survival
    »ýÁ¸(È®)·ü(Ë×Ì¡ Ì·Ëô).
  • probability paper
    È®·ü¸ð´«Á¾ÀÌ.
  • probability sample
    È®·üÇ¥º»(ÊṴ̀ËÓ).
¿¾ ´ëÇÑÀÇÇù 3 ÀÇÇпë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 15 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
  • associational learning
    ¿¬»óÇнÀ
  • avoidance learning
    ȸÇÇÇнÀ
  • beta learning
    º£Å¸ÇнÀ
  • cognitive social learning
    ÀÎÁö»çȸÇнÀ(ìãò±ÞäüåùÊã§)
  • conditioned learning
    Á¶°ÇÈ­ÇнÀ(ðÉËìûùùÊã§)
  • cumulative probability distribution
    ´©ÀûÈ®·üºÐÆ÷
  • discrimination learning
    ½Äº°ÇнÀ(ÊṴ̀Ëà).
  • escape learning
    µµÇÇÇнÀ(Ô±ù­ùÊã§)
  • instrumental learning
    µµ±¸Àû ÇнÀ
  • learning
    ÇнÀ(ùÊã§).
  • learning disorders
    ÇнÀÀå¾Ö(ùÊã§î¡äô)(º´)
  • maze learning
    ¹Ì·ÎÇнÀ(¡­ùÊã§).
  • probability
    È®·ü(Ì·Ëô).
  • probability
    È®·ü
  • probability a posteriori
    »çÈÄÈ®·ü(Ë×Ì· Ì·Ëô).
´ëÇÑ»ýÈ­ÇкÐÀÚ»ý¹°ÇÐȸ ¿ë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 4 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
  • probability
    È®·ü(ü¬×Ë)
  • probability curve
    È®·ü °î¼±(ü¬×ËÍØàÊ)
  • probability distribution
    È®·ü ºÐÆ÷(ü¬×ËÝÂøÖ)
  • probability value
    È®·ü(ü¬×Ë) °ª
KI ÀÇÇпë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 1 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
  • probability
    È®·ü
KMLE ÀÇÇоà¾î »çÀü À¯»ç °Ë»ö °á°ú : 5 ÆäÀÌÁö: 1
HELP Hawaii early learning profile; Health Education Library Program; Health Emergency Loan Program; Heal...
LD labor and delivery; laboratory data; labyrinthine defect; lactate dehydrogenase; laser Doppler; lear...
'Greek letter alpha' angular acceleration; first [carbon atom next to the carbon atom bearing the active group in organic...
beta [Greek letter beta] an anomer of a carbohydrate; buffer capacity; carbon separated from a carboxyl by one other carbon i...
CPF clot-promoting factor; complication probability factor; contraction peak force; current patient file...
KMLE ÀÚµ¿ÃßÃâ ÀÇÇоà¾î »çÀü À¯»ç °Ë»ö °á°ú : 5 ÆäÀÌÁö: 1
NTCP Normal Tissue Complication Probability
P Probability
PDF probability density function
Ps Probability of Survival
SPRT Sequential Probability Ratio Test
°æºÏ´ë Ä¡°ú´ëÇÐ ±¸°­³»°ú ±³½Ç »çÀü À¯»ç °Ë»ö °á°ú : 4 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
    ¼³¸í
  • probability chart
    È®·üÇ¥
  • learning disability
    ÇнÀÀå¾Ö
    Á¤ÀÇ : ÇнÀÀå¾Ö¶õ Á¤»óÀûÀÎ Áö´ÉÀ» °®°í ÀÖ°í, ½Ã·Â°ú û°¢ÀÌ Á¤»óÀûÀ̸ç, ÀûÀýÇÑ ±³À°È¯°æÀ» Á¦°ø¹Þ¾ÒÀ½¿¡µµ ºÒ±¸Çϰí, ƯÁ¤ ¿µ¿ªÀÇ ÇнÀÀÌ ¶Ç·¡ÀÇ Á¤»ó ¾Æµ¿¿¡ ºñÇØ ÇöÀúÈ÷ ¶³¾îÁö´Â °æ¿ì¿¡ Áø´ÜÇÑ´Ù. ´ë°³ Àбâ Àå¾Ö, ¾²±â Àå¾Ö, »ê¼ú Àå¾Ö, ±âŸ ÇнÀ Àå¾Ö·Î ºÐ·ùÇÑ´Ù. ÈçÈ÷ ÁÖÀÇ·Â Àå¾Ö¸¦ µ¿¹ÝÇÑ´Ù. ¿øÀÎ : À¯ÀüÀû ¼ÒÀÎ, ´ë³úÀÇ ±âÁúÀû ÀÌ»ó, ȯ°æÀû ¿äÀÎÀÌ ¿øÀÎÀ¸·Î »ý°¢µÇ°í ÀÖ´Ù. Áõ¼¼ : ´ë°³ Çзɱ⿡ ¹ß°ßµÈ´Ù. a. Àбâ Àå¾Ö : ¾Æµ¿ÀÇ Àб⠴ɷÂÀÌ ¾Æµ¿ÀÇ ¿¬·É, ±³À°ÀÇ ¼öÁØ¿¡ ºñÇØ ÇöÀúÈ÷ ¶³¾îÁø´Ù. Ã¥À» ÀÐÀ» ¶§, ÈçÈ÷ ¿À·ù¸¦ º¸ÀδÙ. ÀÐÀ» ´Ü¾î³ª ´Ü¾îÀÇ ÀϺθ¦ »ý·«Çϰųª ´ëÄ¡, ¿Ö°î ¶Ç´Â Ãß°¡¸¦ Çϸç, Àд ¼Óµµ°¡ ¸Å¿ì ´Ê°í, ÀÐ°í ³ª¼­ ³»¿ëÀ» ±â¾ïÇϰųª ÀÌÇØÇÏÁö ¸øÇÑ´Ù. ƯÈ÷ ¹®ÀåÀÌ ±æ¾îÁö¸é, ¾î·Á¿òÀÌ ´õ ½ÉÇØÁø´Ù. b. ¾²±â Àå¾Ö : ÀÌ Àå¾ÖÀÇ ¾Æµ¿µéÀº ÀúÇгâºÎÅÍ Ã¶ÀÚÀÇ ¿À·ù°¡ ¸¹°Å³ª, ÀÚ½ÅÀÇ »ý°¢À» ±Û·Î Ç¥ÇöÇϴµ¥ À־ ¹®¹ýÀû ¿À·ù¸¦ ÈçÈ÷ ¹üÇÑ´Ù. ±¸µÎÁ¡ »ç¿ë¿¡ À־µµ ¸¹Àº ¿À·ù¸¦ ¹üÇÑ´Ù. ÇгâÀÌ ¿Ã¶ó°¡¸é, ÀÌ·¯ÇÑ ¹®Á¦´Â Á¡Â÷ ´õ ½É°¢ÇØÁ®¼­, ¹®ÀåÀÇ Ã¼°è°¡ ÀâÈ÷Áö ¾Ê°í, ´Ü¾î°¡ Ãß»óÀûÀÌ µÇ¸é, ¾î·Á¿òÀº ´õ ½ÉÇØÁø´Ù. ÀÌ·Î ÀÎÇØ, µî±³¸¦ °ÅºÎÇϰí, ¾²±â ¼÷Á¦¸¦ ÇÏÁö ¾ÊÀ¸·Á Çϸç, ¿ì¿ï Àå¾Ö³ª ¹ÝÇ× Çൿ ¶Ç´Â ºñÇà µîÀÌ ÈÄÀ¯ÁõÀ¸·Î »ý±â±âµµ ÇÑ´Ù. c. »ê¼ú Àå¾Ö : ´ë°³ ÃʵîÇб³ 2-3ÇгâÀÌ µÇ¸é, ÀÌ Àå¾Ö°¡ ¶Ñ·ÇÇØÁø´Ù. »ê¼úÀÇ ±âº» °³³äÀÇ ½ÀµæÀÌ ¾î·Æ°í, ¼ýÀÚÀÇ »ó¡Àû Àǹ̳ª, ¼öÇÐÀû ¿ë¾î ¹× ±âÈ£ÀÇ ÀÌÇØ°¡ ¾î·Á¿ö, Àǹ̰¡ ÀÖ´Â ¼ÀÇϱⰡ ¾î·Æ°í, ±â¼ö¿Í ¼­¼öÀÇ ±¸º°ÀÌ ¾î·Æ´Ù. °è»ê Áß ÀûÀýÇÏ°Ô ¼ýÀÚ¸¦ Á¤·ÄÇϰųª ¼Ò¼öÁ¡À̳ª ºÎÈ£¸¦ ³¢¿ö ³Ö´Â »ê¼úÀû °è»êÀÇ °ø°£Àû Á¶Á÷ ´É·ÂÀÌ ¶³¾îÁø´Ù. Ä¡·á : Ư¼ö±³À°Àû Á¢±ÙÀÌ °¡Àå È¿°úÀûÀÌ´Ù. ÁÖÀÇ·Â °áÇÌ °úÀ× Çൿ Àå¾Ö³ª ¿ì¿ïÁõÀÌ µ¿¹ÝµÉ °æ¿ì, ¾à¹° Ä¡·á¿Í Á¤½Å Ä¡·á¸¦ ÇÔ²² ÇÑ´Ù. ¿¹¹æ : Á¶±â ¹ß°ßÀÌ ¿¹ÈÄ¿¡ ¸Å¿ì Áß¿äÇÏ´Ù.
  • learning mechanism
    ÇнÀ ±âÀü
  • learning process
    ÇнÀ °úÁ¤, ½Àµæ °úÁ¤
    ¹è¿ö¼­ ÀÍÈ÷´Â °úÁ¤, ´Ü°è.
CancerWEB ¿µ¿µ ÀÇÇлçÀü ¸ÂÃã °Ë»ö °á°ú : 1 ÆäÀÌÁö: 1
probability learning Usually refers to the use of mathematical models in the prediction of learning to perform tasks based on the theory of probability applied to responses; it may also refer to the frequency of occurrence of the responses observed in the particular study.
(12 Dec 1998)
CancerWEB ¿µ¿µ ÀÇÇлçÀü À¯»ç °Ë»ö °á°ú : 15 ÆäÀÌÁö: 1
personal probability An idiosyncratic judgment about the outcome of an event; it may include evidence too subtle to be disposed of in a subjective probability.
(05 Mar 2000)
conditional probability A probability quoted when the range of choices admitted is restricted, i.e., conditional; thus, the probability of the child of a colour-blind man inheriting the gene is 1/2 if the child is female and almost zero if the child is male.
(05 Mar 2000)
positional probability <chemistry> A type of probability that depends on the number of arrangements in space that yield a particular state.
(09 Jan 1998)
posterior probability The best rational assessment of the probability of an outcome on the basis of established knowledge modified and brought up to date.
Compare: Bayes theorem.
(05 Mar 2000)
prior probability The best rational assessment of the probability of an outcome on the basis of established knowledge before the present information is included. For instance, the prior probability of the daughter of a carrier of haemophilia being herself haemophiliac is 1/2. But if she already has one child, an affected son, the posterior probability that she is a carrier is unity, whereas if she has one child, a normal one, the posterior probability that she is a carrier is 1/3.
See: Bayes theorem.
(05 Mar 2000)
probability Origin: L. Probabilitas: cf. F. Probabilite.
1. The quality or state of being probable; appearance of reality or truth; reasonable ground of presumption; likelihood. "Probability is the appearance of the agreement or disagreement of two ideas, by the intervention of proofs whose connection is not constant, but appears for the most part to be so." (Locke)
2. That which is or appears probable; anything that has the appearance of reality or truth. "The whole life of man is a perpetual comparison of evidence and balancing of probabilities." (Buckminster) "We do not call for evidence till antecedent probabilities fail." (J. H. Newman)
3. <mathematics> Likelihood of the occurrence of any event in the doctrine of chances, or the ratio of the number of favorable chances to the whole number of chances, favorable and unfavorable. See 1st Chance.
Synonym: Likeliness, credibleness, likelihood, chance.
Source: Websters Dictionary
(01 Mar 1998)
probability curve A graph of the gaussian (normal) distribution representing relative probabilities.
(05 Mar 2000)
probability sample Each individual in the sample has a known, generally equal, chance of being selected.
(05 Mar 2000)
probability theory The branch of mathematics dealing with the purely logical properties of probability. Its theorems underlie most statistical methods.
(12 Dec 1998)
subjective probability A fair statement of the odds that a rational, well-informed person would give or take for the outcome of an experiment. The experiment may be unique and not rationally understood (precluding both theoretically sound predication and empirical experience). The formulation is applicable to experiments that have been carried out but the outcome unknown. (For instance, a certain statement about the sex of the foetus early in pregnancy is established but perhaps not accessible until amniocentesis can be done.) Unlike personal probably, the subjective probability should be the same from all competent counselors in possession of the same evidence.
(05 Mar 2000)
objective probability A probability of an outcome based either on unassailable theory or extensive empirical experience of exactly the same combination of circumstances; the notion also implies that the realization concerned has not been effected and therefore even in principle not known with certainty.
(05 Mar 2000)
transition probability model A model to account for the apparently random variation in cell cycle time between individual animal tissue cells in culture that postulates that transition from G1 to s phase is probabilistic. Contrasts with hypotheses that require the accumulation of critical levels of particular proteins.
(18 Nov 1997)
joint probability The probability that two or more outcomes are realised jointly; the probability that the child is both male and affected is 1/4.
(05 Mar 2000)
association learning The principle that items experienced together enter into a connection, so that one tends to reinstate the other.
(12 Dec 1998)
avoidance learning A response to a cue that is instrumental in avoiding a noxious experience.
(12 Dec 1998)
MeSH(Medical Subject Headings) ¸ÂÃã °Ë»ö (http://www.nlm.nih.gov) °á°ú : 1 ÆäÀÌÁö: 1
  • Probability Learning - »õâ Usually refers to the use of mathematical models in the prediction of learning to perform tasks based on the theory of probability applied to responses; it may also refer to the frequency of occurrence of the responses observed in the particular study.
    Synonyms : Learning, Probability, Learnings, Probability, Probability Learnings
ÇÑ¿µ/¿µÇÑ »çÀü À¯»ç °Ë»ö °á°ú : 15 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
  • probability
    ÀÖÀ½Á÷ÇÔ
  • probability
    ÀÖÀ½Á÷ÇÑ;°¡¸Á;°³¿¬¼º;È®·ü(in all probability ¾Æ¸¶,½ÊÁßÆÈ±¸´Â)
  • probability cloud
    È®·ü¿î !
  • probability density
    È®·ü ¹Ðµµ
  • probability density function
    È®·ü ¹Ðµµ ÇÔ¼ö )
  • probability distribution
    È®·ü ºÐÆ÷
  • probability function
    È®·ü ÇÔ¼ö
  • learning
    Çй®
  • New Learning
    ½ÅÇй®;Çп¹ ºÎÈï(¹®¿¹ºÎÈïÀÇ ÀÚ±ØÀ» ¹Þ°í ÀϾ °í´ë ±×¸®½º ¹®¿¹ÀÇ ¿¬±¸)
  • computer-based learning
    ÄÄÇ»Å͸¦ ÇнÀÀÇ µµ±¸·Î ÀÌ¿ëÇϱâ
  • electronic learning
    ÀüÀÚ ÇнÀ(ÄÄÇ»Å͸¦ »ç¿ëÇÑ ÇнÀ)
  • learning
    Çй®;¹Ú½Ä;man of ~ing ÇÐ½Ä ÀÖ´Â »ç¶÷
  • mastery learning
    ¿ÏÀü ½Àµæ ÇнÀ
  • paired-associate learning
    ¿¬»ó ÇнÀ ¹æ½Ä(¼ýÀÚ,´Ü¾î,±×¸² µîÀ» ¦À» Áö¾î¼­ ¿¬»ó¿¡ ÀÇÇØ ±â¾ïÇÏ´Â ¹æ½Ä)
  • programmed learning
    ÇÁ·Î±×·¥ ÇнÀ
ÀÌ ¾Æ·¡ ºÎÅÍ´Â °á°ú°¡ ¾ø½À´Ï´Ù.
KMLE ¾àǰ/ÀǾàǰ ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • Á¦Ç°¸í
    ¼ººÐ/ÇÔ·®
    ±¸ºÐ/º¸Çè±Þ¿©
KMLE ¾àǰ/ÀǾàǰ À¯»ç °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • Á¦Ç°¸í
    ¼ººÐ/ÇÔ·®
    ±¸ºÐ/º¸Çè±Þ¿©
¾Ë±â½¬¿î ÀÇÇпë¾îÇ®ÀÌÁý, ¼­¿ïÀÇ´ë ±³¼ö ÁöÁ¦±Ù, °í·ÁÀÇÇÐ ÃâÆÇ ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
´ëÇÑÀÇÇù ÀÇÇпë¾î »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
´ëÇÑÀÇÇù Çʼö ÀÇÇпë¾îÁý »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
¿¾ ´ëÇÑÀÇÇù ÀÇÇпë¾î »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
¿¾ ´ëÇÑÀÇÇù 2 ÀÇÇпë¾î »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
¿¾ ´ëÇÑÀÇÇù 3 ÀÇÇпë¾î »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
´ëÇÑÇØºÎÇÐȸ ÀÇÇпë¾î »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
´ëÇÑÇØºÎÇÐȸ ÀÇÇпë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
´ëÇѽŰæ¿Ü°úÇÐȸ ÀÇÇпë¾î »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
    ÇÑÀÚ
´ëÇѽŰæ¿Ü°úÇÐȸ ÀÇÇпë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
    ÇÑÀÚ
´ëÇѱâ»ýÃæÇÐȸ ÀÇÇпë¾î »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
´ëÇѱâ»ýÃæÇÐȸ ÀÇÇпë¾î »çÀü °Ë»ö À¯»ç °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
´ëÇÑ»ýÈ­ÇкÐÀÚ»ý¹°ÇÐȸ ¿ë¾î »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
KI ÀÇÇпë¾î »çÀü °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
KMLE ÀÇÇоà¾î »çÀü ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
KMLE ÀÚµ¿ÃßÃâ ÀÇÇоà¾î »çÀü ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
ÀÇÇÐ³í¹® ¾àÀÚ(Pubmed/Entrez) °Ë»ö ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
Çѱ¹Ç¥ÁØÁúº´»çÀκзù ¾àÀÚ ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ÄÚµå
    ¿µ¹®
    ÇѱÛ
Çѱ¹Ç¥ÁØÁúº´»çÀκзù ¾àÀÚ À¯»ç °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ÄÚµå
    ¿µ¹®
    ÇѱÛ
°æºÏ´ë Ä¡°ú´ëÇÐ ±¸°­³»°ú ±³½Ç »çÀü ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
    ¼³¸í
MeSH(Medical Subject Headings) À¯»ç °Ë»ö (http://www.nlm.nih.gov) °á°ú : 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - Merriam-Webster's ÀÇÇлçÀü ¸ÂÃã °Ë»ö (https://www.merriam-webster.com) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - Merriam-Webster's ÀÇÇлçÀü À¯»ç °Ë»ö (https://www.merriam-webster.com) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - A.D.A.M. Medical Encyclopedia ¸ÂÃã °Ë»ö (http://www.nlm.nih.gov) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - A.D.A.M. Medical Encyclopedia À¯»ç °Ë»ö (http://www.nlm.nih.gov) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - MedlinePlus Health Topics ¸ÂÃã °Ë»ö (http://www.nlm.nih.gov) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - MedlinePlus Health Topics À¯»ç °Ë»ö (http://www.nlm.nih.gov) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - µå·¯±×ÀÎÆ÷ ¾àÇÐ Á¤º¸ ¸ÂÃã °Ë»ö (http://www.druginfo.co.kr) °á°ú: 0 ÆäÀÌÁö: 1
Á¦Ç°¸í
ÆÇ¸Å»ç
º¸ÇèÄÚµå ¼ººÐ/ÇÔ·®
±¸ºÐ/º¸Çè±Þ¿©
¿ÜºÎ ¸µÅ© - µå·¯±×ÀÎÆ÷ ¾àÇÐ Á¤º¸ À¯»ç °Ë»ö (http://www.druginfo.co.kr) °á°ú: 0 ÆäÀÌÁö: 1
Á¦Ç°¸í
ÆÇ¸Å»ç
º¸ÇèÄÚµå ¼ººÐ/ÇÔ·®
±¸ºÐ/º¸Çè±Þ¿©
¿ÜºÎ ¸µÅ© - WebMD.com Drug Reference ¸ÂÃã °Ë»ö (http://www.webmd.com) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - WebMD.com Drug Reference À¯»ç °Ë»ö (http://www.webmd.com) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - Drug.com Drugs by Medical Condition ¸ÂÃã °Ë»ö (http://www.drugs.com) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - Drug.com Drugs by Medical Condition À¯»ç °Ë»ö (http://www.drugs.com) °á°ú: 0 ÆäÀÌÁö: 1
KMLE À¥ ¿ë¾î ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
KMLE À¥ ¿ë¾î À¯»ç °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
ÇÑ¿µ/¿µÇÑ »çÀü ¸ÂÃã °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
  • ¿µ¹®
    ÇѱÛ
WordNet ÀÏ¹Ý ¿µ¿µ »çÀü °Ë»ö °á°ú : 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - American Heritage Dictionary ¿µ¿µ»çÀü ¸ÂÃã °Ë»ö (https://www.ahdictionary.com) °á°ú: 0 ÆäÀÌÁö: 1
¿ÜºÎ ¸µÅ© - American Heritage Dictionary ¿µ¿µ»çÀü À¯»ç °Ë»ö (https://www.ahdictionary.com) °á°ú: 0 ÆäÀÌÁö: 1
ÅëÇÕ°Ë»ö ¿Ï·á